feat: data-entry-clerk skill package v0.1.0
This commit is contained in:
skillfactor-pipeline
31
PROVENANCE.md
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PROVENANCE.md
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# Data provenance — data-entry-clerk
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Where the content of this skill package comes from, counted by
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content items (tasks, competences, tools, evidence entries, curated
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knowledge). Rendered live by Gitea:
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```mermaid
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%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
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pie showData
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title Content sources — data-entry-clerk
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"ESCO (occupation & competences)" : 35
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"O*NET (tasks & tools)" : 59
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"Job boards (market evidence)" : 28
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"Anthropic official Claude skills" : 5
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"External AI skill packs (mapped)" : 177
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```
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| Source | Items | Share | Files |
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|---|---|---|---|
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| ESCO (occupation & competences) | 35 | 11.5 % | references/profile.md, references/skills.md |
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| O*NET (tasks & tools) | 59 | 19.4 % | references/tasks.md, references/tools.md |
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| Job boards (market evidence) | 28 | 9.2 % | references/market.md (full report) + "Market evidence" headline sections |
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| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
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| Anthropic official Claude skills | 5 | 1.6 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
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| External AI skill packs (mapped) | 177 | 58.2 % | references/ai-skills.md (per-source attribution inside) |
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| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
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Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
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job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
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paraphrased with source URLs — never copied · external AI skills are
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linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
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56
SKILL.md
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SKILL.md
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---
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name: data-entry-clerk
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description: "Occupational skill for the role 'data entry clerk' (also: statistical clerk, data steward, data entry inspector, data-entry clerk, payment entry clerk, data entry operator). Use when the user asks for typical data entry clerk work such as: Check completed work for spelling, grammar, punctuation, and format.; Perform other clerical duties, such as answering telephone, sorting and distributing mail, running errands or sending faxes.; Gather, register, and arrange the material to be typed, following instructions."
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---
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# Data Entry Clerk
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Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
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## Core workflow
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1. Check completed work for spelling, grammar, punctuation, and format.
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2. Perform other clerical duties, such as answering telephone, sorting and distributing mail, running errands or sending faxes.
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3. Gather, register, and arrange the material to be typed, following instructions.
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4. Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation, or previous versions, using a computer, word processor, or typewriter.
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5. File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update, and delete documents.
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6. Print and make copies of work.
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7. Keep records of work performed.
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8. Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator.
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## How to use this skill
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- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
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- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
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- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
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- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
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- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
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## Key competences (essential)
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- apply information security policies
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- apply statistical analysis techniques
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- database
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- documentation types
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- maintain data entry requirements
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- perform data cleansing
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- process data
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- query languages
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- resource description framework query language
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- use word processing software
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## Hot technologies
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- Intuit QuickBooks
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- Microsoft Access
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- Adobe Acrobat
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- Microsoft SharePoint
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- Microsoft Outlook
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- Oracle PeopleSoft
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- SAP software
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- Google Workspace software
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- Microsoft Office software
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- Microsoft PowerPoint
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---
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*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/6353b3e8-e8f2-4ecb-b230-186927139892), O*NET 30.3 (43-9022.00). See manifest.json for licensing/attribution.*
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manifest.json
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manifest.json
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{
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"name": "data-entry-clerk",
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"title": "data entry clerk",
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"version": "0.1.0",
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"layer": "core",
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"language": "en",
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"generated": "2026-07-07",
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"ids": {
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"esco_uri": "http://data.europa.eu/esco/occupation/6353b3e8-e8f2-4ecb-b230-186927139892",
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"esco_code": "4132.1",
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"isco_group": "4132",
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"onet_soc": "43-9022.00",
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"crosswalk_match": "closeMatch"
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},
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"sources": [
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{
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"name": "ESCO",
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"version": "1.2.1",
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"url": "https://esco.ec.europa.eu/"
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},
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{
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"name": "O*NET",
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"version": "30.3",
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"url": "https://www.onetcenter.org/",
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"license": "CC BY 4.0"
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}
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],
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"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
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"counts": {
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"tasks": 19,
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"dwas": 18,
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"skills_essential": 10,
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"skills_optional": 24,
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"software": 21
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},
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"enrichment_ai_skills": {
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"generated": "2026-07-14",
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"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
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"sources": {
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"anthropics/skills": {
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"repo": "https://github.com/anthropics/skills",
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"commit": "f6656c1",
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"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
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"skills": 2
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},
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"wshobson/agents": {
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"repo": "https://github.com/wshobson/agents",
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"commit": "6fd3247",
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"license": "MIT (c) Seth Hobson",
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"skills": 1
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},
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"samber/cc-skills-golang": {
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"repo": "https://github.com/samber/cc-skills-golang",
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"commit": "4881c01",
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"license": "MIT",
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"skills": 1
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},
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"microsoft/skills": {
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"repo": "https://github.com/microsoft/skills",
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"commit": "dc543aa",
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"license": "MIT",
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"skills": 1
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},
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"giuseppe-trisciuoglio/developer-kit": {
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"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
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"commit": "306f428",
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"license": "MIT",
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"skills": 1
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},
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"jeremylongshore/claude-code-plugins-plus-skills": {
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"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
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"commit": "e112938a",
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"license": "MIT",
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"skills": 10
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},
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"mukul975/Anthropic-Cybersecurity-Skills": {
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"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
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"commit": "673da1f",
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"license": "Apache-2.0",
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"skills": 6
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},
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"davepoon/buildwithclaude": {
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"repo": "https://github.com/davepoon/buildwithclaude",
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"commit": "3c94e0c",
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"license": "MIT",
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"skills": 3
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},
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"Orchestra-Research/AI-research-SKILLs": {
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"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
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"commit": "773a529",
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"license": "MIT",
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"skills": 1
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},
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"davila7/claude-code-templates": {
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"repo": "https://github.com/davila7/claude-code-templates",
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"commit": "fa79251",
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"license": "MIT",
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"skills": 10
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},
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"zechenzhangAGI/AI-research-SKILLs": {
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"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
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"commit": "773a529",
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"license": "MIT",
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"skills": 1
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},
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"a5c-ai/babysitter": {
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"repo": "https://github.com/a5c-ai/babysitter",
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"commit": "44a5d58b",
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"license": "MIT",
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"skills": 6
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},
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"alirezarezvani/claude-skills": {
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"repo": "https://github.com/alirezarezvani/claude-skills",
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"commit": "0241f43",
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"license": "MIT",
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"skills": 3
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},
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"mohitagw15856/pm-claude-skills": {
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"repo": "https://github.com/mohitagw15856/pm-claude-skills",
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"commit": "876fa30",
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"license": "MIT",
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"skills": 1
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},
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"ThinkInAIXYZ/deepchat": {
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"repo": "https://github.com/ThinkInAIXYZ/deepchat",
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"commit": "f275c92",
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"license": "Apache-2.0",
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"skills": 1
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},
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"basicmachines-co/basic-memory": {
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"repo": "https://github.com/basicmachines-co/basic-memory",
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"commit": "53da71c",
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"license": "custom (see upstream LICENSE)",
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"skills": 3
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},
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"ruvnet/claude-code-flow": {
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"repo": "https://github.com/ruvnet/claude-code-flow",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 3
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},
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"ruvnet/ruflo": {
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"repo": "https://github.com/ruvnet/ruflo",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 3
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},
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"affaan-m/everything-claude-code": {
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"repo": "https://github.com/affaan-m/everything-claude-code",
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"commit": "ed38744",
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"license": "MIT",
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"skills": 2
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},
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"brycewang-stanford/Auto-Empirical-Research-Skills": {
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"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
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"commit": "85bf545",
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"license": "CC-BY-4.0",
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"skills": 1
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},
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"vibeeval/vibecosystem": {
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"repo": "https://github.com/vibeeval/vibecosystem",
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"commit": "cea9462",
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"license": "MIT",
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"skills": 1
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},
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"aaron-he-zhu/aaron-marketing-skills": {
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"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
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"commit": "b7b0b9f",
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"license": "Apache-2.0",
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"skills": 1
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},
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"zebbern/claude-code-guide": {
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"repo": "https://github.com/zebbern/claude-code-guide",
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"commit": "d2c5280",
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"license": "MIT",
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"skills": 1
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},
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"alinaqi/claude-bootstrap": {
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"repo": "https://github.com/alinaqi/claude-bootstrap",
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"commit": "f61ec87",
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"license": "MIT",
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"skills": 1
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},
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"K-Dense-AI/claude-scientific-skills": {
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"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
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"commit": "4d97e29",
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"license": "MIT",
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"skills": 1
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},
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"foryourhealth111-pixel/Vibe-Skills": {
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"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
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"commit": "34429a8",
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"license": "Apache-2.0",
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"skills": 2
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},
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"K-Dense-AI/scientific-agent-skills": {
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"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
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"commit": "4d97e29",
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"license": "MIT",
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"skills": 1
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},
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"nexu-io/open-design": {
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"repo": "https://github.com/nexu-io/open-design",
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"commit": "4b66023",
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"license": "Apache-2.0",
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"skills": 1
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},
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"googleworkspace/cli": {
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"repo": "https://github.com/googleworkspace/cli",
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"commit": "a3768d0",
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"license": "Apache-2.0",
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"skills": 1
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},
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"zxkane/aws-skills": {
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"repo": "https://github.com/zxkane/aws-skills",
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"commit": "68530c6",
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"license": "MIT",
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"skills": 1
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},
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"trailofbits/skills": {
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"repo": "https://github.com/trailofbits/skills",
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"commit": "cfe5d7b",
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"license": "custom (see upstream LICENSE)",
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"skills": 1
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},
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"OpenSenseNova/SenseNova-Skills": {
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"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
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"commit": "d8bb438",
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"license": "MIT",
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"skills": 6
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},
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"ljagiello/ctf-skills": {
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"repo": "https://github.com/ljagiello/ctf-skills",
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"commit": "d19f35f",
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"license": "MIT",
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"skills": 1
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},
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"sanjay3290/ai-skills": {
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"repo": "https://github.com/sanjay3290/ai-skills",
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"commit": "3619692",
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"license": "Apache-2.0",
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"skills": 1
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}
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},
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"total_skills": 80,
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"tiers": {
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"core": 77,
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"adjacent": 3
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}
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|
},
|
||||||
|
"provenance": {
|
||||||
|
"items": {
|
||||||
|
"esco": 35,
|
||||||
|
"onet": 59,
|
||||||
|
"jobads": 28,
|
||||||
|
"wiki_ai": 0,
|
||||||
|
"anthropic": 5,
|
||||||
|
"ai_skills": 177,
|
||||||
|
"stackx": 0
|
||||||
|
},
|
||||||
|
"share_percent": {
|
||||||
|
"esco": 11.5,
|
||||||
|
"onet": 19.4,
|
||||||
|
"jobads": 9.2,
|
||||||
|
"wiki_ai": 0.0,
|
||||||
|
"anthropic": 1.6,
|
||||||
|
"ai_skills": 58.2,
|
||||||
|
"stackx": 0.0
|
||||||
|
},
|
||||||
|
"method": "content items per source category"
|
||||||
|
},
|
||||||
|
"collar": "white",
|
||||||
|
"computer_work": true
|
||||||
|
}
|
||||||
370
references/ai-skills.md
Normal file
370
references/ai-skills.md
Normal file
@@ -0,0 +1,370 @@
|
|||||||
|
# External AI agent skills — data-entry-clerk
|
||||||
|
|
||||||
|
Proven, publicly available AI agent skills mapped to this occupation.
|
||||||
|
Nothing is copied from the sources: every entry is a name, a one-line
|
||||||
|
summary and a link to the upstream skill package. Each section names
|
||||||
|
its source repository, commit, license and retrieval date.
|
||||||
|
|
||||||
|
**Tiers:** `core` = the skill directly exercises a top market hard
|
||||||
|
skill, tool or method (from gated job-ad evidence) or an essential
|
||||||
|
ESCO competence of this occupation; `adjacent` =
|
||||||
|
plausibly useful, secondary. Entries are capped at 12 per source
|
||||||
|
and 80 in total per occupation (core first,
|
||||||
|
strongest matches survive); everything beyond the caps is excluded
|
||||||
|
and logged in the pipeline audit trail, not in this package.
|
||||||
|
|
||||||
|
_Matched deterministically (ISCO group + title/competence keywords,
|
||||||
|
tiered against market evidence + ESCO essentials) by
|
||||||
|
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
|
||||||
|
|
||||||
|
## Source: anthropics/skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
|
||||||
|
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
|
||||||
|
|
||||||
|
## Source: wshobson/agents
|
||||||
|
|
||||||
|
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-14)
|
||||||
|
- License: MIT (c) Seth Hobson
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `file-conversion` | adjacent | Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or … | [source](https://github.com/wshobson/agents/tree/main/plugins/file-conversion/skills/file-conversion) |
|
||||||
|
|
||||||
|
## Source: a5c-ai/babysitter
|
||||||
|
|
||||||
|
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `context-engineering` | core | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
|
||||||
|
| `vector-memory` | core | HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/ruflo/skills/vector-memory) |
|
||||||
|
| `memory-summarization` | core | Conversation summarization for memory compression and context management | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ai-agents-conversational/skills/memory-summarization) |
|
||||||
|
| `translation-management` | core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
|
||||||
|
| `unity-addressables` | core | Unity Addressables asset management skill for remote catalogs, content updates, asset bundles, and memory-efficient asset loading. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/game-development/skills/unity-addressables) |
|
||||||
|
| `embedded-docs` | core | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/embedded-docs) |
|
||||||
|
|
||||||
|
## Source: aaron-he-zhu/aaron-marketing-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `memory-management` | core | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
|
||||||
|
|
||||||
|
## Source: affaan-m/everything-claude-code
|
||||||
|
|
||||||
|
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `agentic-os` | core | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
|
||||||
|
| `knowledge-ops` | core | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
|
||||||
|
|
||||||
|
## Source: alinaqi/claude-bootstrap
|
||||||
|
|
||||||
|
- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `session-management` | core | Context preservation, tiered summarization, resumability | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/session-management) |
|
||||||
|
|
||||||
|
## Source: alirezarezvani/claude-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `founder-coach` | core | Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/founder-coach) |
|
||||||
|
| `ceo-advisor` | core | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
|
||||||
|
| `google-workspace-cli` | core | Google Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/google-workspace-cli/skills/google-workspace-cli) |
|
||||||
|
|
||||||
|
## Source: basicmachines-co/basic-memory
|
||||||
|
|
||||||
|
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
|
||||||
|
- License: custom (see upstream LICENSE)
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `memory-schema` | core | Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-schema) |
|
||||||
|
| `memory-tasks` | core | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
|
||||||
|
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
|
||||||
|
|
||||||
|
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
|
||||||
|
- License: CC-BY-4.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `hud` | core | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
|
||||||
|
|
||||||
|
## Source: davepoon/buildwithclaude
|
||||||
|
|
||||||
|
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `google-calendar-automation` | core | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
|
||||||
|
| `googlesheets-automation` | core | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-automation) |
|
||||||
|
| `image-enhancer` | core | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/image-enhancer) |
|
||||||
|
|
||||||
|
## Source: davila7/claude-code-templates
|
||||||
|
|
||||||
|
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `langchain` | core | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-langchain) |
|
||||||
|
| `it-operations` | core | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
|
||||||
|
| `agent-memory-mcp` | core | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
|
||||||
|
| `c-pro` | core | Write efficient C code with proper memory management, pointer | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/c-pro) |
|
||||||
|
| `context-window-management` | core | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/context-window-management) |
|
||||||
|
| `treatment-plans` | core | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/treatment-plans) |
|
||||||
|
| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
|
||||||
|
| `image-enhancer` | core | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/media/image-enhancer) |
|
||||||
|
| `railway-metrics` | core | Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/railway/metrics) |
|
||||||
|
| `crewai` | core | Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/crewai) |
|
||||||
|
|
||||||
|
## Source: foryourhealth111-pixel/Vibe-Skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `treatment-plans` | core | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/treatment-plans) |
|
||||||
|
| `xlsx` | core | Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/xlsx) |
|
||||||
|
|
||||||
|
## Source: giuseppe-trisciuoglio/developer-kit
|
||||||
|
|
||||||
|
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `memory-md-management` | core | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
|
||||||
|
|
||||||
|
## Source: googleworkspace/cli
|
||||||
|
|
||||||
|
- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `recipe-backup-sheet-as-csv` | core | Export a Google Sheets spreadsheet as a CSV file for local backup or processing. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-backup-sheet-as-csv) |
|
||||||
|
|
||||||
|
## Source: jeremylongshore/claude-code-plugins-plus-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `notion-load-scale` | core | High-volume Notion operations: parallel requests within 3 req/sec, worker queues, database pagination at scale, incremental sync for large workspaces, and memory management for bulk operations. Trigger with phrases like "notion scale", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/notion-pack/skills/notion-load-scale) |
|
||||||
|
| `twinmind-data-handling` | core | Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-data-handling) |
|
||||||
|
| `apify-cost-tuning` | core | Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-cost-tuning) |
|
||||||
|
| `cursor-context-management` | core | Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management", "@-mentions", "context pills". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-context-management) |
|
||||||
|
| `evernote-core-workflow-a` | core | Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-a) |
|
||||||
|
| `memory-kit` | core | Persistent context management for Claude Code sessions. Save, load, update, share, and audit session memory via MEMORY.md. Prevents context loss on compaction or session restart. Use when starting a session, before compaction, syncing … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/claude-memory-kit/skills/memory-kit) |
|
||||||
|
| `windsurf-cascade-context` | core | Manage Cascade context window and memory for complex projects. Activate when users mention "cascade context", "ai memory", "context management", "large codebase navigation", or "multi-session development". Handles context optimization and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-cascade-context) |
|
||||||
|
| `granola-ci-integration` | core | Build automated pipelines from Granola meeting notes to GitHub Issues, Linear tasks, Slack notifications, and documentation updates using Zapier and GitHub Actions. Trigger: "granola CI", "granola automation pipeline", "granola to github", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-ci-integration) |
|
||||||
|
| `granola-core-workflow-b` | core | Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-core-workflow-b) |
|
||||||
|
| `clickhouse-rate-limits` | core | Configure ClickHouse query concurrency, memory quotas, and connection limits. Use when hitting "too many simultaneous queries", managing concurrent users, or tuning server-side resource limits. Trigger: "clickhouse rate limit", "clickhouse … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/clickhouse-pack/skills/clickhouse-rate-limits) |
|
||||||
|
|
||||||
|
## Source: K-Dense-AI/claude-scientific-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `treatment-plans` | core | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/treatment-plans) |
|
||||||
|
|
||||||
|
## Source: K-Dense-AI/scientific-agent-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `treatment-plans` | core | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/treatment-plans) |
|
||||||
|
|
||||||
|
## Source: ljagiello/ctf-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
|
||||||
|
|
||||||
|
## Source: microsoft/skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `kql` | core | KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/skills/kql) |
|
||||||
|
|
||||||
|
## Source: mohitagw15856/pm-claude-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `kyc-escalation` | core | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) |
|
||||||
|
|
||||||
|
## Source: mukul975/Anthropic-Cybersecurity-Skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
|
||||||
|
| `detecting-t1003-credential-dumping-with-edr` | core | Detect OS credential dumping techniques targeting LSASS memory, SAM database, NTDS.dit, and cached credentials using EDR telemetry, Sysmon process access monitoring, and Windows security event correlation. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-t1003-credential-dumping-with-edr) |
|
||||||
|
| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
|
||||||
|
| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
|
||||||
|
| `analyzing-linux-kernel-rootkits` | core | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
|
||||||
|
| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
|
||||||
|
|
||||||
|
## Source: nexu-io/open-design
|
||||||
|
|
||||||
|
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `image-enhancer` | core | Improve image and screenshot quality by enhancing resolution, sharpness, and clarity for professional presentations and documentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/image-enhancer) |
|
||||||
|
|
||||||
|
## Source: OpenSenseNova/SenseNova-Skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `category-filtering-and-difficulty-analysis` | core | 对Excel数据进行自定义分类统计、交叉分析与可视化，并基于多维度指标（如文本长度、术语密度、正则匹配等）进行综合评分与分级，适用于多类别数据分布统计及文本内容难度/质量评估场景。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-filtering/category-filtering) |
|
||||||
|
| `dynamic-large-file-parquet-analysis` | core | 动态统计Excel总行数，当数据量过大（≥10000行）时自动转换为Parquet格式加速读取，并对指定目标列进行条件筛选、分类汇总与结果导出，适用于超大体积Excel文件的快速读取与统计分析。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-table-styling/table-theme-styling) |
|
||||||
|
| `dynamic-percentage-and-large-file-analysis` | core | 根据文件行数动态切换大文件处理策略（Parquet转换），通过逐行扫描或列匹配提取关键指标并计算占比、均值等统计量，最终输出结构化Excel报告及可视化图表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-statistics/percentage-calculation) |
|
||||||
|
| `excel-conditional-comparison-and-large-file-processing` | core | 对比Excel多表中的特定系数并对异常值进行颜色标记。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/duplicate-value-coloring) |
|
||||||
|
| `excel-data-analysis-and-report-generation` | core | 从Excel提取多类型数据，并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
|
||||||
|
| `excel-large-file-processing-and-cleaning` | core | 读取多 sheet Excel 文件，动态识别目标列进行统计，并使用正则清洗文本字段提取中文字符，最终输出标准化 Excel 文件。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading) |
|
||||||
|
|
||||||
|
## Source: Orchestra-Research/AI-research-SKILLs
|
||||||
|
|
||||||
|
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `langchain` | core | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
|
||||||
|
|
||||||
|
## Source: ruvnet/claude-code-flow
|
||||||
|
|
||||||
|
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||||
|
| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
|
||||||
|
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
|
||||||
|
|
||||||
|
## Source: ruvnet/ruflo
|
||||||
|
|
||||||
|
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||||
|
| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
|
||||||
|
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
|
||||||
|
|
||||||
|
## Source: samber/cc-skills-golang
|
||||||
|
|
||||||
|
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `golang-security` | core | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
|
||||||
|
|
||||||
|
## Source: sanjay3290/ai-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
|
||||||
|
|
||||||
|
## Source: ThinkInAIXYZ/deepchat
|
||||||
|
|
||||||
|
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
|
||||||
|
- License: Apache-2.0
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `memory-management` | core | Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/memory-management) |
|
||||||
|
|
||||||
|
## Source: trailofbits/skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/trailofbits/skills](https://github.com/trailofbits/skills) (commit `cfe5d7b`, retrieved 2026-07-14)
|
||||||
|
- License: custom (see upstream LICENSE)
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `c-review` | core | Performs comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or … | [source](https://github.com/trailofbits/skills/tree/cfe5d7b/plugins/c-review/skills/c-review) |
|
||||||
|
|
||||||
|
## Source: vibeeval/vibecosystem
|
||||||
|
|
||||||
|
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `knowledge-management` | core | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
|
||||||
|
|
||||||
|
## Source: zebbern/claude-code-guide
|
||||||
|
|
||||||
|
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |
|
||||||
|
|
||||||
|
## Source: zechenzhangAGI/AI-research-SKILLs
|
||||||
|
|
||||||
|
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `langchain` | core | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
|
||||||
|
|
||||||
|
## Source: zxkane/aws-skills
|
||||||
|
|
||||||
|
- Repository: [https://github.com/zxkane/aws-skills](https://github.com/zxkane/aws-skills) (commit `68530c6`, retrieved 2026-07-14)
|
||||||
|
- License: MIT
|
||||||
|
|
||||||
|
| Skill | Tier | What it adds | Upstream |
|
||||||
|
|---|---|---|---|
|
||||||
|
| `aws-cost-operations` | core | AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when … | [source](https://github.com/zxkane/aws-skills/tree/68530c6/plugins/aws-cost-ops/skills/aws-cost-operations) |
|
||||||
69
references/market.md
Normal file
69
references/market.md
Normal file
@@ -0,0 +1,69 @@
|
|||||||
|
# Market evidence report — data-entry-clerk
|
||||||
|
|
||||||
|
Source: **10 real job ads** (JSearch API, countries: us 10), extracted into the MSSQL evidence store; as of 2026-07-11.
|
||||||
|
This report contains extracted, aggregated facts only — no ad text is
|
||||||
|
reproduced (copyright / platform terms).
|
||||||
|
|
||||||
|
## Seniority distribution
|
||||||
|
|
||||||
|
| Seniority | Ads | Share |
|
||||||
|
|---|---|---|
|
||||||
|
| n/a | 4 | 40 % |
|
||||||
|
| junior | 3 | 30 % |
|
||||||
|
| mid | 3 | 30 % |
|
||||||
|
|
||||||
|
## Tools — full market ranking
|
||||||
|
|
||||||
|
| # | Item | Ads | Share |
|
||||||
|
|---|---|---|---|
|
||||||
|
| 1 | Microsoft Excel | 4 | 40 % |
|
||||||
|
|
||||||
|
## Hard skills — full market ranking
|
||||||
|
|
||||||
|
| # | Item | Ads | Share |
|
||||||
|
|---|---|---|---|
|
||||||
|
| 1 | data entry | 7 | 70 % |
|
||||||
|
|
||||||
|
## Methods — full market ranking
|
||||||
|
|
||||||
|
| # | Item | Ads | Share |
|
||||||
|
|---|---|---|---|
|
||||||
|
|
||||||
|
## Responsibilities — full market ranking
|
||||||
|
|
||||||
|
| # | Item | Ads | Share |
|
||||||
|
|---|---|---|---|
|
||||||
|
|
||||||
|
## Regional breakdown
|
||||||
|
|
||||||
|
> **Corpus note:** 10 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
|
||||||
|
|
||||||
|
### US (us)
|
||||||
|
|
||||||
|
**Insufficient evidence** — 10 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||||
|
|
||||||
|
### UK (gb)
|
||||||
|
|
||||||
|
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||||
|
|
||||||
|
### EU/DACH (de, at, ch, nl)
|
||||||
|
|
||||||
|
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||||
|
|
||||||
|
|
||||||
|
## Job title variants in the market
|
||||||
|
|
||||||
|
| Title | Ads |
|
||||||
|
|---|---|
|
||||||
|
| Basic Data Entry Agent Work From Home – No Experience Needed | 1 |
|
||||||
|
| Data Entry Assistant | 1 |
|
||||||
|
| Data Entry Clerk - Graduates - AI Training - Zapopan, Mexico | 1 |
|
||||||
|
| Data Entry Clerk Work from Home | 1 |
|
||||||
|
| Data Input Clerk | 1 |
|
||||||
|
| Data Steward | 1 |
|
||||||
|
| Data Steward(Business Side) - Commercial Lines | 1 |
|
||||||
|
| New Opportunity ! Accounting Data Entry Clerk | 1 |
|
||||||
|
| Remote Work From Home Data Entry Clerk - Typing - Part Time | 1 |
|
||||||
|
| WIC Data & Records Specialist | 1 |
|
||||||
|
|
||||||
|
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.
|
||||||
25
references/profile.md
Normal file
25
references/profile.md
Normal file
@@ -0,0 +1,25 @@
|
|||||||
|
# Occupation profile — data entry clerk
|
||||||
|
|
||||||
|
- **ESCO URI:** http://data.europa.eu/esco/occupation/6353b3e8-e8f2-4ecb-b230-186927139892
|
||||||
|
- **ESCO code:** 4132.1
|
||||||
|
- **ISCO-08 group:** 4132 — Data entry clerks
|
||||||
|
- **O*NET-SOC:** 43-9022.00 — Word Processors and Typists (match: closeMatch)
|
||||||
|
|
||||||
|
## Description (ESCO)
|
||||||
|
|
||||||
|
Data entry clerks update, maintain and retrieve information held on computer systems. They prepare source data for computer entry by compiling and sorting information, process customer and account source documents by reviewing data for deficiencies and verify entered customer and account data.
|
||||||
|
|
||||||
|
## Definition
|
||||||
|
|
||||||
|
nan
|
||||||
|
|
||||||
|
## Alternative labels
|
||||||
|
|
||||||
|
- statistical clerk
|
||||||
|
- data steward
|
||||||
|
- data entry inspector
|
||||||
|
- data-entry clerk
|
||||||
|
- payment entry clerk
|
||||||
|
- data entry operator
|
||||||
|
- data entry officer
|
||||||
|
- data-entry officer
|
||||||
63
references/skills.md
Normal file
63
references/skills.md
Normal file
@@ -0,0 +1,63 @@
|
|||||||
|
# Competences — data entry clerk
|
||||||
|
|
||||||
|
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/6353b3e8-e8f2-4ecb-b230-186927139892).
|
||||||
|
|
||||||
|
## Essential
|
||||||
|
|
||||||
|
- **apply information security policies** (skill/competence)
|
||||||
|
- **apply statistical analysis techniques** (skill/competence)
|
||||||
|
- **database** (knowledge)
|
||||||
|
- **documentation types** (knowledge)
|
||||||
|
- **maintain data entry requirements** (skill/competence)
|
||||||
|
- **perform data cleansing** (skill/competence)
|
||||||
|
- **process data** (skill/competence)
|
||||||
|
- **query languages** (knowledge)
|
||||||
|
- **resource description framework query language** (knowledge)
|
||||||
|
- **use word processing software** (skill/competence)
|
||||||
|
|
||||||
|
## Optional
|
||||||
|
|
||||||
|
- ABBYY FineReader (knowledge)
|
||||||
|
- apply organisational techniques (skill/competence)
|
||||||
|
- data models (knowledge)
|
||||||
|
- data storage (knowledge)
|
||||||
|
- establish data processes (skill/competence)
|
||||||
|
- implement data quality processes (skill/competence)
|
||||||
|
- implement data warehousing techniques (skill/competence)
|
||||||
|
- information confidentiality (knowledge)
|
||||||
|
- LDAP (knowledge)
|
||||||
|
- LINQ (knowledge)
|
||||||
|
- manage data (skill/competence)
|
||||||
|
- manage data collection systems (skill/competence)
|
||||||
|
- manage digital documents (skill/competence)
|
||||||
|
- manage ICT data classification (skill/competence)
|
||||||
|
- MDX (knowledge)
|
||||||
|
- N1QL (knowledge)
|
||||||
|
- normalise data (skill/competence)
|
||||||
|
- OmniPage (knowledge)
|
||||||
|
- optical character recognition software (knowledge)
|
||||||
|
- SPARQL (knowledge)
|
||||||
|
- use an application-specific interface (skill/competence)
|
||||||
|
- use databases (skill/competence)
|
||||||
|
- use spreadsheets software (skill/competence)
|
||||||
|
- XQuery (knowledge)
|
||||||
|
|
||||||
|
<!-- market-evidence -->
|
||||||
|
|
||||||
|
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-11)
|
||||||
|
|
||||||
|
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||||
|
|
||||||
|
### Hard skills
|
||||||
|
|
||||||
|
- data entry — **70 %**
|
||||||
|
- data analysis — **20 %**
|
||||||
|
- data auditing — **20 %**
|
||||||
|
- data validation — **20 %**
|
||||||
|
- typing — **20 %**
|
||||||
|
|
||||||
|
### Responsibilities
|
||||||
|
|
||||||
|
- data entry — **20 %**
|
||||||
|
|
||||||
|
<!-- market-evidence -->
|
||||||
46
references/tasks.md
Normal file
46
references/tasks.md
Normal file
@@ -0,0 +1,46 @@
|
|||||||
|
# Tasks & work activities — data entry clerk
|
||||||
|
|
||||||
|
Source: O*NET 30.3, occupation 43-9022.00 (Word Processors and Typists).
|
||||||
|
|
||||||
|
## Task statements
|
||||||
|
|
||||||
|
- **[Core]** Check completed work for spelling, grammar, punctuation, and format.
|
||||||
|
- **[Core]** Perform other clerical duties, such as answering telephone, sorting and distributing mail, running errands or sending faxes.
|
||||||
|
- **[Core]** Gather, register, and arrange the material to be typed, following instructions.
|
||||||
|
- **[Core]** Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation, or previous versions, using a computer, word processor, or typewriter.
|
||||||
|
- **[Core]** File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update, and delete documents.
|
||||||
|
- **[Core]** Print and make copies of work.
|
||||||
|
- **[Core]** Keep records of work performed.
|
||||||
|
- **[Core]** Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator.
|
||||||
|
- **[Core]** Collate pages of reports and other documents.
|
||||||
|
- **[Core]** Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.
|
||||||
|
- **[Core]** Reformat documents, moving paragraphs or columns.
|
||||||
|
- **[Core]** Search for specific sets of stored, typed characters to make changes.
|
||||||
|
- **[Core]** Adjust settings for format, page layout, line spacing, and other style requirements.
|
||||||
|
- **[Core]** Address envelopes or prepare envelope labels, using typewriter or computer.
|
||||||
|
- **[Core]** Operate and resupply printers and computers, changing print wheels or fluid cartridges, adding paper, and loading blank tapes, cards, or disks into equipment.
|
||||||
|
- **[Core]** Transmit work electronically to other locations.
|
||||||
|
- **[Core]** Use data entry devices, such as optical scanners, to input data into computers for revision or editing.
|
||||||
|
- **[Supplemental]** Manage schedules and set dates, times, and locations for meetings and appointments.
|
||||||
|
- **[Supplemental]** Work with technical material, preparing statistical reports, planning and typing statistical tables, and combining and rearranging material from different sources.
|
||||||
|
|
||||||
|
## Detailed work activities
|
||||||
|
|
||||||
|
- Answer telephones to direct calls or provide information.
|
||||||
|
- Calculate financial data.
|
||||||
|
- Compile data or documentation.
|
||||||
|
- Distribute incoming mail.
|
||||||
|
- Enter information into databases or software programs.
|
||||||
|
- Format digital documents, data, or images.
|
||||||
|
- Maintain office equipment in proper operating condition.
|
||||||
|
- Maintain operational records.
|
||||||
|
- Operate computers or computerized equipment.
|
||||||
|
- Operate office equipment.
|
||||||
|
- Prepare research or technical reports.
|
||||||
|
- Proofread documents, records, or other files to ensure accuracy.
|
||||||
|
- Schedule appointments.
|
||||||
|
- Search files, databases or reference materials to obtain needed information.
|
||||||
|
- Sort mail.
|
||||||
|
- Store records or related materials.
|
||||||
|
- Type documents.
|
||||||
|
- Verify accuracy of financial or transactional data.
|
||||||
39
references/tools.md
Normal file
39
references/tools.md
Normal file
@@ -0,0 +1,39 @@
|
|||||||
|
# Tools & technology — data entry clerk
|
||||||
|
|
||||||
|
Source: O*NET 30.3 'Software Skills' for 43-9022.00.
|
||||||
|
|
||||||
|
| Software | Category | Hot technology |
|
||||||
|
|---|---|---|
|
||||||
|
| Intuit QuickBooks | Accounting software | yes |
|
||||||
|
| Microsoft Access | Data base user interface and query software | yes |
|
||||||
|
| Adobe Acrobat | Document management software | yes |
|
||||||
|
| Microsoft SharePoint | Document management software | yes |
|
||||||
|
| Microsoft Outlook | Electronic mail software | yes |
|
||||||
|
| Oracle PeopleSoft | Enterprise resource planning ERP software | yes |
|
||||||
|
| SAP software | Enterprise resource planning ERP software | yes |
|
||||||
|
| Google Workspace software | Office suite software | yes |
|
||||||
|
| Microsoft Office software | Office suite software | yes |
|
||||||
|
| Microsoft PowerPoint | Presentation software | yes |
|
||||||
|
| Microsoft Visio | Process mapping and design software | yes |
|
||||||
|
| Microsoft Excel | Spreadsheet software | yes |
|
||||||
|
| Microsoft Word | Word processing software | yes |
|
||||||
|
| Act! | Customer relationship management CRM software | |
|
||||||
|
| Blackbaud CRM | Customer relationship management CRM software | |
|
||||||
|
| Oracle Siebel CRM | Customer relationship management CRM software | |
|
||||||
|
| FileMaker Pro | Data base user interface and query software | |
|
||||||
|
| Microsoft Publisher | Desktop publishing software | |
|
||||||
|
| IBM Notes | Electronic mail software | |
|
||||||
|
| SRSsoft SRS EHR | Medical software | |
|
||||||
|
| Corel WordPerfect Office Suite | Office suite software | |
|
||||||
|
|
||||||
|
<!-- market-evidence -->
|
||||||
|
|
||||||
|
## Market evidence (job-ad analysis, 10 ads, as of 2026-07-11)
|
||||||
|
|
||||||
|
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||||
|
|
||||||
|
### Tools
|
||||||
|
|
||||||
|
- Microsoft Excel — **40 %**
|
||||||
|
|
||||||
|
<!-- market-evidence -->
|
||||||
Reference in New Issue
Block a user