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feat: casino-cashier skill package v0.1.0

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# Data provenance — casino-cashier
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — casino-cashier
"ESCO (occupation & competences)" : 24
"O*NET (tasks & tools)" : 42
"Job boards (market evidence)" : 50
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 189
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 24 | 7.7 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 42 | 13.5 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 50 | 16.1 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.6 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 189 | 61.0 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: casino-cashier
description: "Occupational skill for the role 'casino cashier' (also: casino head cashier, casino income auditor, game cashier, main banker, gaming cashier, booth cashier). Use when the user asks for typical casino cashier work such as: Greet customers and make them feel welcome.; Exchange paper currency for playing chips or coin money.; Pay winnings or collect losing bets as established by the rules and procedures of a specific game."
---
# Casino Cashier
Casino cashiers exchange tokens, coins or chips for money. They arrange pay-outs and obtain customers' signatures and identification. They audit and count money in a cash register, enforcing money laundering regulations.
## Core workflow
1. Greet customers and make them feel welcome.
2. Exchange paper currency for playing chips or coin money.
3. Pay winnings or collect losing bets as established by the rules and procedures of a specific game.
4. Deal cards to house hands, and compare these with players' hands to determine winners, as in black jack.
5. Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations.
6. Check to ensure that all players have placed bets before play begins.
7. Stand behind a gaming table and deal the appropriate number of cards to each player.
8. Inspect cards and equipment to be used in games to ensure that they are in good condition.
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- apply numeracy skills
- carry out inventory control accuracy
- communicate with customers
- exchange money for chips
- focus on service
- follow ethical code of conduct of gambling
- handle cash flow
- handle customer complaints
- handle incidents
- keep task records
- monitor casino finances
- operate cash register
- prevent money laundering in gambling
- process payments
- show good manners with players
## Hot technologies
- Apache Spark
- Slack
- Apache Hadoop
- Microsoft Office software
- Microsoft Excel
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/961cbd1f-2a9b-4756-b227-67a1c23c94b6), O*NET 30.3 (39-3011.00). See manifest.json for licensing/attribution.*

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{
"name": "casino-cashier",
"title": "casino cashier",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/961cbd1f-2a9b-4756-b227-67a1c23c94b6",
"esco_code": "4212.3",
"isco_group": "4212",
"onet_soc": "39-3011.00",
"crosswalk_match": "closeMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"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",
"counts": {
"tasks": 21,
"dwas": 14,
"skills_essential": 15,
"skills_optional": 8,
"software": 6
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 3
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 11
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 3
},
"open-gitagent/opengap": {
"repo": "https://github.com/open-gitagent/opengap",
"commit": "d7a8e2e",
"license": "MIT",
"skills": 2
},
"tinyplex/tinybase": {
"repo": "https://github.com/tinyplex/tinybase",
"commit": "b211ee9",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 6
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 12
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"microsoft/power-platform-skills": {
"repo": "https://github.com/microsoft/power-platform-skills",
"commit": "0d7ed9a",
"license": "MIT",
"skills": 2
},
"raintree-technology/apple-hig-skills": {
"repo": "https://github.com/raintree-technology/apple-hig-skills",
"commit": "431fd30",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"ViryaZheng/recomby-geo": {
"repo": "https://github.com/ViryaZheng/recomby-geo",
"commit": "530d5e2",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"pedrohcgs/claude-code-my-workflow": {
"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
"commit": "be53c12",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 2
},
"XiaoMaColtAI/math-modeling-skill": {
"repo": "https://github.com/XiaoMaColtAI/math-modeling-skill",
"commit": "abcb41f",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"skills": 1
},
"rockscy/solo-skills": {
"repo": "https://github.com/rockscy/solo-skills",
"commit": "80ec4cf",
"license": "MIT",
"skills": 1
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 1
},
"nexu-io/html-anything": {
"repo": "https://github.com/nexu-io/html-anything",
"commit": "aea7498",
"license": "Apache-2.0",
"skills": 1
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 1
},
"jeecgboot/skills": {
"repo": "https://github.com/jeecgboot/skills",
"commit": "ec0ec08",
"license": "Apache-2.0",
"skills": 1
},
"serejaris/personal-corp-skills": {
"repo": "https://github.com/serejaris/personal-corp-skills",
"commit": "b517d36",
"license": "MIT",
"skills": 1
},
"serejaris/personal-corp-os": {
"repo": "https://github.com/serejaris/personal-corp-os",
"commit": "9d3660e",
"license": "MIT",
"skills": 1
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 2
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 2
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 1
},
"zxkane/aws-skills": {
"repo": "https://github.com/zxkane/aws-skills",
"commit": "68530c6",
"license": "MIT",
"skills": 1
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 47,
"adjacent": 33
}
},
"provenance": {
"items": {
"esco": 24,
"onet": 42,
"jobads": 50,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 189,
"stackx": 0
},
"share_percent": {
"esco": 7.7,
"onet": 13.5,
"jobads": 16.1,
"wiki_ai": 0.0,
"anthropic": 1.6,
"ai_skills": 61.0,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — casino-cashier
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 |
|---|---|---|---|
| `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) |
| `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) |
## 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 |
|---|---|---|---|
| `nvenc-nvdec` | adjacent | NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nvenc-nvdec) |
## 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 |
|---|---|---|---|
| `autonomous-agent-harness` | core | Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/autonomous-agent-harness) |
| `agentic-os` | adjacent | 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) |
## Source: ahacker-1/cre-agent-skills
- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cre-office` | adjacent | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
## 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 |
|---|---|---|---|
| `compliance-readiness` | adjacent | /cs:compliance-readiness <program> — Multi-framework compliance officer 6-question forcing interrogation of any compliance program. Use before starting a new framework, planning the annual audit calendar, or preparing for certification … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/compliance-os/skills/compliance-readiness) |
## 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 |
|---|---|---|---|
| `codebook` | core | Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/29-quarcs-lab-project20XXy/dot-claude/skills/codebook) |
## 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 |
|---|---|---|---|
| `invoice-organizer` | adjacent | Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/invoice-organizer) |
## 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 |
|---|---|---|---|
| `ai-agents-architect` | core | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/ai-agents-architect) |
| `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) |
| `invoice-organizer` | adjacent | Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/invoice-organizer) |
| `it-operations` | adjacent | 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) |
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/get-available-resources) |
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/vaex) |
## 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 |
|---|---|---|---|
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/get-available-resources) |
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/vaex) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `keyword-clustering` | core | Cluster a list of keywords into topical groups with search intent labels, validated search volume, KD, and CPC data. Use this skill whenever a user provides a list of keywords (pasted, uploaded as CSV/Excel, or via Google Sheet URL) and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/keyword-clustering) |
## Source: jabrena/plinth
- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `145-java-refactoring-high-performance` | adjacent | Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/145-java-refactoring-high-performance) |
## Source: jeecgboot/skills
- Repository: [https://github.com/jeecgboot/skills](https://github.com/jeecgboot/skills) (commit `ec0ec08`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `jimureport` | core | 积木报表生成器 — 自然语言描述报表需求或提供截图，自动生成积木报表（支持数据报表、打印报表、分组报表、循环报表、数据填报等全类型）。Use when user says "积木报表", "jmreport", "Excel报表", "数据填报", "可视化报表", "打印报表", "分组报表", "循环报表", "按照截图生成报表", "创建积木报表", "做一个可视化报表", "积木设计器", "create jimureport", "visual report". … | [source](https://github.com/jeecgboot/skills/tree/ec0ec08/jimureport) |
## 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 |
|---|---|---|---|
| `excel-dcf-modeler` | core | Build discounted cash flow (DCF) valuation models in Excel. Use when creating DCF models, calculating enterprise value, or valuing companies. Trigger with phrases like ''excel dcf'', ''build dcf model'', ''calculate enterprise value''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-dcf-modeler) |
| `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) |
| `excel-formula-generator` | core | Generate excel formula generator operations. Auto-activating skill for Business Automation. Triggers on: excel formula generator, excel formula generator Part of the Business Automation skill category. Use when working with excel formula … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/excel-formula-generator) |
| `excel-macro-creator` | core | Create excel macro creator operations. Auto-activating skill for Business Automation. Triggers on: excel macro creator, excel macro creator Part of the Business Automation skill category. Use when working with excel macro creator … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/excel-macro-creator) |
| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
| `excel-variance-analyzer` | core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
| `excel-pivot-wizard` | core | Create advanced Excel pivot tables with calculated fields and slicers. Use when building data summaries or creating interactive dashboards. Trigger with phrases like ''excel pivot'', ''create pivot table'', ''data summary''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-pivot-wizard) |
| `twinmind-data-handling` | adjacent | 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) |
| `vertex-engine-inspector` | adjacent | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector) |
| `twinmind-webhooks-events` | adjacent | Handle TwinMind meeting events including transcription completion, action item extraction, and calendar sync notifications. Use when implementing webhooks events, 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-webhooks-events) |
| `adk-deployment-specialist` | adjacent | Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-ml/jeremy-adk-orchestrator/skills/adk-deployment-specialist) |
## 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 |
|---|---|---|---|
| `xlsx` | core | Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm) where the workbook file is the primary deliverable. Use for formulas, formatting, financial models, multi-sheet workbooks, and tabular cleanup exported to Excel. Also … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/xlsx) |
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/get-available-resources) |
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/vaex) |
## 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 |
|---|---|---|---|
| `xlsx` | core | Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm) where the workbook file is the primary deliverable. Use for formulas, formatting, financial models, multi-sheet workbooks, and tabular cleanup exported to Excel. Also … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/xlsx) |
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/get-available-resources) |
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/vaex) |
## 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-pwn` | adjacent | Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-pwn) |
## Source: microsoft/power-platform-skills
- Repository: [https://github.com/microsoft/power-platform-skills](https://github.com/microsoft/power-platform-skills) (commit `0d7ed9a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `add-excel` | core | Adds Excel Online (Business) connector to a Power Apps code app. Use when reading or writing Excel workbook data from OneDrive or SharePoint. | [source](https://github.com/microsoft/power-platform-skills/tree/0d7ed9a/plugins/code-apps/skills/add-excel) |
| `add-ai-webapi` | adjacent | Integrates Power Pages generative-AI summarization APIs (PREVIEW) into a Single Page Application (SPA) site — the Search Summary API and the Data Summarization API — on any record-detail or list page. Generates per-target service code … | [source](https://github.com/microsoft/power-platform-skills/tree/0d7ed9a/plugins/power-pages/skills/add-ai-webapi) |
## 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 |
|---|---|---|---|
| `azure-ai-translation-document-py` | core | Azure AI Document Translation SDK for batch translation of documents with format preservation. Use for translating Word, PDF, Excel, PowerPoint, and other document formats at scale. Triggers: "document translation", "batch translation", … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/plugins/azure-sdk-python/skills/azure-ai-translation-document-py) |
## 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) |
| `excel-model` | core | Build a real, formula-driven Excel (.xlsx) model — not a static table. Use when asked to build an Excel model, a financial model, a budget/forecast spreadsheet, or any .xlsx with live formulas a user can edit. Produces an actual .xlsx file … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-documents/skills/excel-model) |
| `roadmap-presentation` | core | Create structured roadmap presentations calibrated to any audience. Use when asked to build a product roadmap, present roadmap to leadership, create a roadmap slide, or communicate quarterly plans to execs, teams, or customers. Produces an … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-planning/skills/roadmap-presentation) |
## 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) |
| `implementing-memory-protection-with-dep-aslr` | adjacent | Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-memory-protection-with-dep-aslr) |
| `analyzing-linux-kernel-rootkits` | adjacent | 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) |
## Source: nexu-io/html-anything
- Repository: [https://github.com/nexu-io/html-anything](https://github.com/nexu-io/html-anything) (commit `aea7498`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `data-report` | core | 把 CSV/Excel/JSON 数据转成漂亮的可视化报告页 | [source](https://github.com/nexu-io/html-anything/tree/aea7498/next/src/lib/templates/skills/data-report) |
## 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 |
|---|---|---|---|
| `data-report` | core | Turns CSV, Excel, or JSON data into a polished visual report page. | [source](https://github.com/nexu-io/open-design/tree/4b66023/plugins/_official/examples/data-report) |
## Source: open-gitagent/opengap
- Repository: [https://github.com/open-gitagent/opengap](https://github.com/open-gitagent/opengap) (commit `d7a8e2e`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `document-review` | core | Reviews financial documents (prospectuses, ADVs, marketing materials) for FINRA 2210 compliance, required disclosures, and balanced presentation. Use when reviewing financial statements, audit documents, regulatory filings, or when the … | [source](https://github.com/open-gitagent/opengap/tree/d7a8e2e/examples/full/skills/document-review) |
| `research` | adjacent | Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a … | [source](https://github.com/open-gitagent/opengap/tree/d7a8e2e/examples/lyzr-agent/skills/research) |
## 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 |
|---|---|---|---|
| `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-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) |
| `excel-multi-sheet-dynamic-analysis` | core | 用于分析包含多个Sheet的Excel文件，动态判断数据量级以决定是否转换为Parquet进行大文件处理，并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化，最终生成带下载链接的汇总报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/specific-sheet-reading) |
| `excel-multi-sheet-threshold-analysis` | core | 统计多Sheet Excel总行数并根据规模选择处理策略，提取特定维度信息进行去重统计，并生成摘要与明细报表。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/duplicate-removal) |
| `multi-file-excel-parquet-analysis` | core | 读取多 Sheet Excel 文件并统计规模，支持大文件向 Parquet 格式转换、分类数据统计及可视化报告生成。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/multi-file-reading) |
| `multi-sheet-reading-and-analysis` | core | 用于读取多工作表Excel文件，动态评估数据量以启用Parquet大文件优化，并执行正则清洗、分类汇总、线性拟合及生成带格式的图表与结果文件。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/multi-sheet-reading) |
| `text-normalization-and-large-file-processing` | core | 对Excel文件进行文本标准化清洗（如去除异常前缀、提取纯中文字符等），并，最终输出清洗后的Excel文件并提供下载链接。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/text-normalization) |
| `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-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-smart-analysis-and-cleaning` | core | 对多 Sheet Excel 进行智能清洗、跨表核对与可视化分析。。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/missing-value-handling) |
## Source: pedrohcgs/claude-code-my-workflow
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `promote-memory` | core | Review candidate `[LEARN]` entries in `.claude/state/personal-memory.md` (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/promote-memory) |
## Source: raintree-technology/apple-hig-skills
- Repository: [https://github.com/raintree-technology/apple-hig-skills](https://github.com/raintree-technology/apple-hig-skills) (commit `431fd30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hig-components-dialogs` | core | Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views. Use this skill when the user says "should I use an alert or a sheet," "how do I show a confirmation dialog," "when … | [source](https://github.com/raintree-technology/apple-hig-skills/tree/431fd30/skills/hig-components-dialogs) |
## Source: rockscy/solo-skills
- Repository: [https://github.com/rockscy/solo-skills](https://github.com/rockscy/solo-skills) (commit `80ec4cf`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `changelog-from-commits` | core | Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users. | [source](https://github.com/rockscy/solo-skills/tree/80ec4cf/skills/changelog-from-commits) |
## 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 |
|---|---|---|---|
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/v3-memory-unification) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
## Source: serejaris/personal-corp-os
- Repository: [https://github.com/serejaris/personal-corp-os](https://github.com/serejaris/personal-corp-os) (commit `9d3660e`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `pm-feedback` | core | Классифицирует пользовательский фидбек (Excel/CSV/текст) по 6 категориям, делает sentiment-анализ, кластеризацию тем, анализ трендов, триангуляцию по источникам, расчёт NPS и извлечение персон. На выходе — Top-10 болей с рекомендациями к … | [source](https://github.com/serejaris/personal-corp-os/tree/9d3660e/skills/pm-feedback) |
## Source: serejaris/personal-corp-skills
- Repository: [https://github.com/serejaris/personal-corp-skills](https://github.com/serejaris/personal-corp-skills) (commit `b517d36`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `pm-feedback` | core | Классифицирует пользовательский фидбек (Excel/CSV/текст) по 6 категориям, делает sentiment-анализ, кластеризацию тем, анализ трендов, триангуляцию по источникам, расчёт NPS и извлечение персон. На выходе — Top-10 болей с рекомендациями к … | [source](https://github.com/serejaris/personal-corp-skills/tree/b517d36/skills/pm-feedback) |
## Source: tinyplex/tinybase
- Repository: [https://github.com/tinyplex/tinybase](https://github.com/tinyplex/tinybase) (commit `b211ee9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `build-with-tinybase` | core | Scaffold, extend, and verify reactive local-first JavaScript or TypeScript applications with TinyBase. Use when choosing TinyBase for in-memory tabular or key-value state, generating an app with create-tinybase, adding schemas or UI … | [source](https://github.com/tinyplex/tinybase/tree/b211ee9/docs/skills/build-with-tinybase) |
## 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 |
|---|---|---|---|
| `minimax-xlsx` | core | Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or … | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/minimax-xlsx) |
## Source: ViryaZheng/recomby-geo
- Repository: [https://github.com/ViryaZheng/recomby-geo](https://github.com/ViryaZheng/recomby-geo) (commit `530d5e2`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `keyword-research` | core | Discover, analyze, and prioritize keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters and content calendars. Use … | [source](https://github.com/ViryaZheng/recomby-geo/tree/530d5e2/plugins/recomby-geo/skills/keyword-research) |
## Source: XiaoMaColtAI/math-modeling-skill
- Repository: [https://github.com/XiaoMaColtAI/math-modeling-skill](https://github.com/XiaoMaColtAI/math-modeling-skill) (commit `abcb41f`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Excel工具` | core | 读取、创建、修改和验证 XLSX，支持模板保留、公式重算和错误检查。 | [source](https://github.com/XiaoMaColtAI/math-modeling-skill/tree/abcb41f/tools/xlsx) |
## 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) |
| `dataset-quality-audit` | core | Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/dataset-quality-audit) |
## 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-agentic-ai` | adjacent | AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, … | [source](https://github.com/zxkane/aws-skills/tree/68530c6/plugins/aws-agentic-ai/skills/aws-agentic-ai) |

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# Market evidence report — casino-cashier
Source: **24 real job ads** (JSearch API, countries: us 24), extracted into the MSSQL evidence store; as of 2026-07-10.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| n/a | 16 | 67 % |
| mid | 5 | 21 % |
| junior | 2 | 8 % |
| lead | 1 | 4 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | computers | 3 | 12 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | cash handling | 20 | 83 % |
| 2 | customer service | 7 | 29 % |
| 3 | credit application processing | 5 | 21 % |
| 4 | regulatory compliance | 5 | 21 % |
| 5 | data entry | 4 | 17 % |
| 6 | transaction processing | 4 | 17 % |
| 7 | check cashing | 3 | 12 % |
| 8 | jackpot payout preparation | 3 | 12 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | chip exchange | 4 | 17 % |
| 2 | check cashing | 3 | 12 % |
| 3 | customer assistance | 3 | 12 % |
| 4 | paperwork completion | 3 | 12 % |
| 5 | transaction processing | 3 | 12 % |
## Regional breakdown
> **Corpus note:** 24 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** — 24 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 |
|---|---|
| Cage Cashier | 4 |
| Cage Cashier - The Casino | 2 |
| CASINO CASHIER | 2 |
| Cage Cashier - Petersburg | 1 |
| Cage Cashier - Philadelphia | 1 |
| Cage Cashier - Swing Shift (FT) | 1 |
| Cage Cashier-10 HR Shift (Part-Time) | 1 |
| Cashier - Cage | 1 |
| Casino Banker - Casino Cashiering - Full Time | 1 |
| Casino Cage Cashier | 1 |
| Casino Cage Cashier - Flexible Shifts & Grave Hours | 1 |
| Casino Cage Cashier: Cash Handling & Guest Service | 1 |
| Casino Cashier: Fast-Paced Guest Service & Cash Handling | 1 |
| Casino Cashiering Supervisor - Lead, Compliance & Perks | 1 |
| Gaming Cashier | 1 |
| Lead Cashier | 1 |
| Lead Casino Cashier and Vault Supervisor | 1 |
| Main Bank Cashier | 1 |
| Sr Player Services Cage Cashier | 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.

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# Occupation profile — casino cashier
- **ESCO URI:** http://data.europa.eu/esco/occupation/961cbd1f-2a9b-4756-b227-67a1c23c94b6
- **ESCO code:** 4212.3
- **ISCO-08 group:** 4212 — Bookmakers, croupiers and related gaming workers
- **O*NET-SOC:** 39-3011.00 — Gambling Dealers (match: closeMatch)
## Description (ESCO)
Casino cashiers exchange tokens, coins or chips for money. They arrange pay-outs and obtain customers' signatures and identification. They audit and count money in a cash register, enforcing money laundering regulations.
## Definition
nan
## Alternative labels
- casino head cashier
- casino income auditor
- game cashier
- main banker
- gaming cashier
- booth cashier
- casino cage cashier
- cage cashier
- casino banker

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# Competences — casino cashier
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/961cbd1f-2a9b-4756-b227-67a1c23c94b6).
## Essential
- **apply numeracy skills** (skill/competence)
- **carry out inventory control accuracy** (skill/competence)
- **communicate with customers** (skill/competence)
- **exchange money for chips** (skill/competence)
- **focus on service** (skill/competence)
- **follow ethical code of conduct of gambling** (skill/competence)
- **handle cash flow** (skill/competence)
- **handle customer complaints** (skill/competence)
- **handle incidents** (skill/competence)
- **keep task records** (skill/competence)
- **monitor casino finances** (skill/competence)
- **operate cash register** (skill/competence)
- **prevent money laundering in gambling** (skill/competence)
- **process payments** (skill/competence)
- **show good manners with players** (skill/competence)
## Optional
- apply company policies (skill/competence)
- casino policies (knowledge)
- communicate gambling rules (skill/competence)
- company policies (knowledge)
- legal standards in gambling (knowledge)
- monitor check-out point (skill/competence)
- monitor gaming room (skill/competence)
- report to gaming manager (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 24 ads, as of 2026-07-10)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- cash handling — **83 %**
- customer service — **29 %**
- regulatory compliance — **21 %**
- credit application processing — **21 %**
- transaction processing — **17 %**
- data entry — **17 %**
### Responsibilities
- chip exchange — **17 %**
<!-- market-evidence -->

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# Tasks & work activities — casino cashier
Source: O*NET 30.3, occupation 39-3011.00 (Gambling Dealers).
## Task statements
- **[Core]** Greet customers and make them feel welcome.
- **[Core]** Exchange paper currency for playing chips or coin money.
- **[Core]** Pay winnings or collect losing bets as established by the rules and procedures of a specific game.
- **[Core]** Deal cards to house hands, and compare these with players' hands to determine winners, as in black jack.
- **[Core]** Conduct gambling games, such as dice, roulette, cards, or keno, following all applicable rules and regulations.
- **[Core]** Check to ensure that all players have placed bets before play begins.
- **[Core]** Stand behind a gaming table and deal the appropriate number of cards to each player.
- **[Core]** Inspect cards and equipment to be used in games to ensure that they are in good condition.
- **[Core]** Start and control games and gaming equipment, and announce winning numbers or colors.
- **[Core]** Open and close cash floats and game tables.
- **[Core]** Compute amounts of players' wins or losses, or scan winning tickets presented by patrons to calculate the amount of money won.
- **[Core]** Apply rule variations to card games such as poker, in which players bet on the value of their hands.
- **[Core]** Receive, verify, and record patrons' cash wagers.
- **[Core]** Answer questions about game rules and casino policies.
- **[Core]** Refer patrons to gaming cashiers to collect winnings.
- **[Core]** Work as part of a team of dealers in games, such as baccarat or craps.
- **[Supplemental]** Supervise staff and monitor gambling tables to ensure security of the game.
- **[Supplemental]** Participate in games for gambling establishments to provide the minimum complement of players at a table.
- **[Supplemental]** Seat patrons at gaming tables.
- **[Supplemental]** Prepare collection reports for submission to supervisors.
- **[Supplemental]** Train new dealers.
## Detailed work activities
- Compute gaming wins and losses.
- Conduct amusement or gaming activities.
- Conduct gaming transactions.
- Greet customers, patrons, or visitors.
- Inspect equipment to ensure proper functioning.
- Maintain financial or account records.
- Monitor operational quality or safety.
- Operate gaming equipment.
- Prepare operational reports or records.
- Refer customers to appropriate personnel.
- Respond to customer inquiries.
- Supervise service workers.
- Train service staff.
- Usher patrons to seats or exits.

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# Tools & technology — casino cashier
Source: O*NET 30.3 'Software Skills' for 39-3011.00.
| Software | Category | Hot technology |
|---|---|---|
| Apache Spark | Business intelligence and data analysis software | yes |
| Slack | Cloud-based data access and sharing software | yes |
| Apache Hadoop | Data base management system software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Email software | Electronic mail software | |