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feat: pawnbroker skill package v0.1.0

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# Data provenance — pawnbroker
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 — pawnbroker
"ESCO (occupation & competences)" : 25
"O*NET (tasks & tools)" : 42
"Job boards (market evidence)" : 61
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 180
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 25 | 8.0 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 42 | 13.4 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 61 | 19.5 % | 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) | 180 | 57.5 % | 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: pawnbroker
description: "Occupational skill for the role 'pawnbroker' (also: pawnshop manager, loaner, pawn broker, pawn agent, pawnshop operator, pawnshop owner). Use when the user asks for typical pawnbroker work such as: typical pawnbroker responsibilities"
---
# Pawnbroker
Pawnbrokers offer loans to clients by securing them with personal objects or items. They assess the personal items given in exchange for the loan, they determine their value and amount of loan available and keep track of inventory assets.
## Core workflow
## 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)
- analyse financial risk
- assess customer credibility
- collect customer data
- communicate with customers
- debt collection techniques
- debt systems
- decide on loan applications
- determine resale value of items
- estimate value of used goods
- handle financial transactions
- identify customer's needs
- maintain client debt records
- maintain records of financial transactions
- manage pawnshop inventory
- negotiate on asset value
## Hot technologies
- Apache Hadoop
- Apache Spark
- Microsoft Excel
- Microsoft Office software
- Slack
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/631aaef2-2d67-45c6-93a6-1b1abdf57542), O*NET 30.3 (39-3011.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "pawnbroker",
"title": "pawnbroker",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/631aaef2-2d67-45c6-93a6-1b1abdf57542",
"esco_code": "4213.1",
"isco_group": "4213",
"onet_soc": "39-3011.00",
"crosswalk_match": "manual nearest via ISCO 4213 (Gambling Dealers)"
},
"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": 0,
"dwas": 0,
"skills_essential": 16,
"skills_optional": 8,
"software": 0
},
"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": 3
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 11
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 5
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"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": 7
},
"nexu-io/open-design": {
"repo": "https://github.com/nexu-io/open-design",
"commit": "4b66023",
"license": "Apache-2.0",
"skills": 2
},
"tinyplex/tinybase": {
"repo": "https://github.com/tinyplex/tinybase",
"commit": "b211ee9",
"license": "MIT",
"skills": 1
},
"open-gitagent/opengap": {
"repo": "https://github.com/open-gitagent/opengap",
"commit": "d7a8e2e",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 6
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 3
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 2
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 2
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 1
},
"honeydew-ai/honeydew-ai-coding-agents-plugins": {
"repo": "https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins",
"commit": "f4066d2",
"license": "Apache-2.0",
"skills": 1
},
"ljagiello/ctf-skills": {
"repo": "https://github.com/ljagiello/ctf-skills",
"commit": "d19f35f",
"license": "MIT",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 2
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 3
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"ViryaZheng/recomby-geo": {
"repo": "https://github.com/ViryaZheng/recomby-geo",
"commit": "530d5e2",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"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": 3
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"plasma-ai/fractal": {
"repo": "https://github.com/plasma-ai/fractal",
"commit": "73ce05a",
"license": "Apache-2.0",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 2
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 3
},
"googleworkspace/cli": {
"repo": "https://github.com/googleworkspace/cli",
"commit": "a3768d0",
"license": "Apache-2.0",
"skills": 1
},
"parcadei/Continuous-Claude-v3": {
"repo": "https://github.com/parcadei/Continuous-Claude-v3",
"commit": "d07ff4b",
"license": "MIT",
"skills": 1
},
"JasonColapietro/suede-creator-skills": {
"repo": "https://github.com/JasonColapietro/suede-creator-skills",
"commit": "0dc2aef",
"license": "MIT",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 8,
"adjacent": 72
}
},
"provenance": {
"items": {
"esco": 25,
"onet": 42,
"jobads": 61,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 180,
"stackx": 0
},
"share_percent": {
"esco": 8.0,
"onet": 13.4,
"jobads": 19.5,
"wiki_ai": 0.0,
"anthropic": 1.6,
"ai_skills": 57.5,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — pawnbroker
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 |
|---|---|---|---|
| `backtesting-frameworks` | adjacent | Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting … | [source](https://github.com/wshobson/agents/tree/main/plugins/quantitative-trading/skills/backtesting-frameworks) |
| `risk-metrics-calculation` | adjacent | Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems. | [source](https://github.com/wshobson/agents/tree/main/plugins/quantitative-trading/skills/risk-metrics-calculation) |
| `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) |
| `pandas-dataframe-analyzer` | adjacent | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `translation-management` | adjacent | 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) |
## 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 |
|---|---|---|---|
| `config-gc` | core | Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/config-gc) |
| `investor-materials` | adjacent | Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/investor-materials) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
## 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-tasks` | adjacent | 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-lifecycle` | adjacent | Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-lifecycle) |
## 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 |
|---|---|---|---|
| `markitdown` | adjacent | Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/67-econfin-workflow-toolkit/markitdown) |
| `obsidian-project-memory` | adjacent | This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes synchronized, summarize project context … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-project-memory) |
| `system-profile` | adjacent | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/system-profile) |
## 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 |
|---|---|---|---|
| `gcc` | adjacent | Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/git/git-context-controller) |
| `agent-memory-mcp` | adjacent | 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) |
| `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) |
| `langchain` | adjacent | 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) |
| `pdf-fill-studio` | adjacent | Fill any PDF locally and place each value precisely in a visual editor. Use when the user wants to fill out a PDF form, enter data into a PDF, complete a tax/insurance/bank form, or position text on a flat/scanned PDF. Handles flat … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/document-processing/pdf-fill-studio) |
| `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: 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` | adjacent | 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-log-deal-update` | adjacent | Append a deal status update to a Google Sheets sales tracking spreadsheet. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-log-deal-update) |
## Source: honeydew-ai/honeydew-ai-coding-agents-plugins
- Repository: [https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins) (commit `f4066d2`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `context-item-creation` | adjacent | Guides you through creating context items — instructions, skills, knowledge pointers, and memory events — that give the AI analyst persistent knowledge about your organization. Covers when to create each type, naming conventions, folder … | [source](https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins/tree/f4066d2/skills/context-item-creation) |
## 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 |
|---|---|---|---|
| `meeting-notes` | adjacent | Structured meeting summaries with action items, decisions, and key discussion points. Use when: taking meeting notes, summarizing discussions, tracking action items, or when user mentions meeting notes, minutes, action items, or needs … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/meeting-notes) |
## Source: JasonColapietro/suede-creator-skills
- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `suede-paywalls` | adjacent | Suede-affiliated in-product monetization design for paywall screens, feature gates, trial-expiry states, usage-limit prompts, and free-to-paid upgrade moments. Use when the user needs trigger timing, message structure, plan presentation, … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-paywalls) |
## 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 |
|---|---|---|---|
| `ink` | core | Content Marketing engineer — blog strategy, SEO, thought leadership, developer content, case studies, and content calendar. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/ink) |
| `excel-lbo-modeler` | adjacent | 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-dcf-modeler` | adjacent | 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) |
| `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) |
| `form-deck` | adjacent | Use when asked to design a pitch deck, presentation, or slide set. Examples: "design a pitch deck", "create a sales deck", "make a conference presentation", "build an investor deck", "help me present this to the board", "create slides for … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/form-deck) |
| `twinmind-reference-architecture` | adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) |
| `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) |
## 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 |
|---|---|---|---|
| `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) |
| `xlsx` | adjacent | 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) |
## 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 |
|---|---|---|---|
| `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) |
| `xlsx` | adjacent | 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) |
## 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` | adjacent | 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: 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 |
|---|---|---|---|
| `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) |
| `credit-memo` | core | Write a credit memo for a lending decision: borrower story, facility structure, repayment sources, financial-ratio spread with covenant headroom, risk factors with mitigants, risk-rating rationale, and a recommendation. Use when asked to … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/credit-memo) |
| `decision-memo` | core | Write a crisp decision memo that drives a clear decision, not a discussion. Use when asked to write a decision memo, a recommendation memo, a one/six-pager for a decision, or to get leadership to decide something. Produces a decision memo … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-business/skills/decision-memo) |
| `kyc-escalation` | adjacent | 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) |
| `lifecycle-crm-plan` | adjacent | Design lifecycle marketing / CRM journeys across the customer lifecycle. Use when asked to plan onboarding emails, lifecycle/CRM campaigns, drip sequences, re-engagement or winback flows, or a messaging calendar. Produces a lifecycle plan … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-growth/skills/lifecycle-crm-plan) |
| `win-loss-analysis` | adjacent | Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-pmm/skills/win-loss-analysis) |
| `candidate-scorecard` | adjacent | Turn interview notes into a structured candidate scorecard and hire recommendation. Use when asked to write an interview scorecard, a candidate evaluation, an interview debrief, or to summarize feedback into a hire/no-hire call. Produces a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-recruiting/skills/candidate-scorecard) |
| `excel-model` | adjacent | 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) |
| `financial-model-narrative` | adjacent | Turn financial model outputs into a clear written narrative. Use when asked to write a financial narrative, explain a financial model, summarise a P&L, or translate spreadsheet numbers into a board-ready story. Produces an executive … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-finance/skills/financial-model-narrative) |
| `professional-brain` | adjacent | Maintain a durable, local markdown memory ('brain') of your product context, decisions, hypotheses, and stakeholders that other skills read from and write back to. Use when asked to set up a brain, ingest notes/artifacts into memory, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-cross/skills/professional-brain) |
| `slide-deck` | adjacent | Build a real, editable PowerPoint (.pptx) deck from an outline or brief. Use when asked to make a slide deck, a PowerPoint, a pitch/board/sales deck as an actual file, or to turn a doc/notes into slides. Produces an actual .pptx via a … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-documents/skills/slide-deck) |
## 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) |
| `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) |
| `collecting-volatile-evidence-from-compromised-host` | adjacent | Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/collecting-volatile-evidence-from-compromised-host) |
| `detecting-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) |
| `performing-thick-client-application-penetration-test` | adjacent | Conduct a thick client application penetration test to identify insecure local storage, hardcoded credentials, DLL hijacking, memory manipulation, and insecure API communication in desktop applications using dnSpy, Procmon, and Burp Suite. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-thick-client-application-penetration-test) |
## Source: nexscope-ai/eCommerce-Skills
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ecommerce-content-marketing` | adjacent | E-commerce content marketing strategy planner. Generates content calendars, topic ideas, and platform-specific strategies by analyzing customer reviews, trends, competitor content, and SEO opportunities. Two modes: (A) Build — create a … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/ecommerce-content-marketing) |
## 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 |
|---|---|---|---|
| `slides` | adjacent | Create and edit .pptx presentation decks with PptxGenJS. Useful for sales decks, kickoff briefs, and design-system showcases. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/slides) |
| `pptx` | adjacent | Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-stakeholder-engagement` | adjacent | Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-stakeholder-engagement) |
## 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` | adjacent | 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) |
## 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 |
|---|---|---|---|
| `top-value-coloring` | adjacent | 根据数据规模动态选择处理策略，对多表数据进行合并、统计筛选，并利用 openpyxl 实现关键指标的自动化样式高亮与格式化导出。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/top-value-coloring) |
## 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` | adjacent | 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: parcadei/Continuous-Claude-v3
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `remember` | adjacent | Store a learning, pattern, or decision in the memory system for future recall | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/remember) |
## Source: plasma-ai/fractal
- Repository: [https://github.com/plasma-ai/fractal](https://github.com/plasma-ai/fractal) (commit `73ce05a`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | adjacent | How to maintain node memory well -- the node's persistent knowledge store. | [source](https://github.com/plasma-ai/fractal/tree/73ce05a/fractal/_node/skills/memory) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `handoff-protocols` | adjacent | Manages work transitions between team members or agents by creating structured handoff documents, summarizing project status, documenting key decisions, blockers, and open questions, and generating onboarding briefs. Use when someone needs … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/collaboration/handoff-protocols) |
## 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 |
|---|---|---|---|
| `memory-management` | adjacent | 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) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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) |
## 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` | adjacent | 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` | adjacent | 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) |
| `remember` | adjacent | Store a learning, pattern, or decision in the memory system for future recall. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/remember) |
## 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` | adjacent | 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: 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` | adjacent | 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) |

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# Market evidence report — pawnbroker
Source: **6 real job ads** (JSearch API, countries: us 6), extracted into the MSSQL evidence store; as of 2026-07-18.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| lead | 3 | 50 % |
| mid | 3 | 50 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | customer service | 5 | 83 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Regional breakdown
> **Corpus note:** 6 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** — 6 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 |
|---|---|
| Lead Pawnbroker & Customer Experience Leader | 1 |
| Pawnbroker | 1 |
| Pawnbroker-Full Time | 1 |
| Retail Shift Leader & Lead Pawnbroker | 1 |
| Shift Leader & Growth Path: Lead Pawnbroker in Training | 1 |
| Shift Manager - Pawn Shop Leader | 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 — pawnbroker
- **ESCO URI:** http://data.europa.eu/esco/occupation/631aaef2-2d67-45c6-93a6-1b1abdf57542
- **ESCO code:** 4213.1
- **ISCO-08 group:** 4213 — Pawnbrokers and money-lenders
## Description (ESCO)
Pawnbrokers offer loans to clients by securing them with personal objects or items. They assess the personal items given in exchange for the loan, they determine their value and amount of loan available and keep track of inventory assets.
## Definition
nan
## Alternative labels
- pawnshop manager
- loaner
- pawn broker
- pawn agent
- pawnshop operator
- pawnshop owner
- deposit lender

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# Competences — pawnbroker
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/631aaef2-2d67-45c6-93a6-1b1abdf57542).
## Essential
- **analyse financial risk** (skill/competence)
- **assess customer credibility** (skill/competence)
- **collect customer data** (skill/competence)
- **communicate with customers** (skill/competence)
- **debt collection techniques** (knowledge)
- **debt systems** (knowledge)
- **decide on loan applications** (skill/competence)
- **determine resale value of items** (skill/competence)
- **estimate value of used goods** (skill/competence)
- **handle financial transactions** (skill/competence)
- **identify customer's needs** (skill/competence)
- **maintain client debt records** (skill/competence)
- **maintain records of financial transactions** (skill/competence)
- **manage pawnshop inventory** (skill/competence)
- **negotiate on asset value** (skill/competence)
- **perform debt investigation** (skill/competence)
## Optional
- assess financial viability (skill/competence)
- calculate value of gems (skill/competence)
- credit control processes (knowledge)
- enforce customer's debt repayment (skill/competence)
- estimate value of musical instruments (skill/competence)
- estimate value of used jewellery and watches (skill/competence)
- obtain financial information (skill/competence)
- perform market research (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 6 ads, as of 2026-07-18)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- customer service — **83 %**
- loan processing — **33 %**
- negotiation — **17 %**
- pawn item evaluation — **17 %**
- pawn item sales — **17 %**
- product valuation — **17 %**
- retail sales — **17 %**
- sales promotion — **17 %**
- staff training — **17 %**
- cash handling — **17 %**
- compliance procedures — **17 %**
- inventory management — **17 %**
- leadership — **17 %**
- loan facilitation — **17 %**
- loan negotiation — **17 %**
- merchandise appraisal — **17 %**
- merchandise evaluation — **17 %**
- store supervision — **17 %**
- team coaching — **17 %**
### Methods
- structured career path — **17 %**
- paid training program — **17 %**
### Responsibilities
- team member supervision — **33 %**
- team supervision — **17 %**
- transaction assessment — **17 %**
- transaction documentation — **17 %**
- team leadership — **17 %**
- product demonstration — **17 %**
- stocking shelves — **17 %**
- store management — **17 %**
- sales promotion — **17 %**
- pawn loan explanation — **17 %**
- pawn transaction management — **17 %**
- opening procedures — **17 %**
- loan processing — **17 %**
- merchandise preparation — **17 %**
- jewelry testing — **17 %**
- customer relationship building — **17 %**
- closing procedures — **17 %**
- customer service delivery — **17 %**
- deal making — **17 %**
- electronics testing — **17 %**
- friendly environment maintenance — **17 %**
- guest rapport building — **17 %**
<!-- market-evidence -->

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# Tasks & work activities — pawnbroker
Source: O*NET 30.3, occupation 39-3011.00 (Gambling Dealers) — manual nearest-occupation mapping via ISCO group 4213; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Supplemental]** Supervise staff and monitor gambling tables to ensure security of the game.
- **[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]** 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 — pawnbroker
Source: O*NET 30.3, occupation 39-3011.00 (Gambling Dealers) — manual nearest-occupation mapping via ISCO group 4213; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Apache Hadoop | Data base management system software | yes |
| Apache Spark | Business intelligence and data analysis software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Slack | Cloud-based data access and sharing software | yes |
| Email software | Electronic mail software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 6 ads, as of 2026-07-18)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Microsoft Office — **17 %**
- point-of-sale system — **17 %**
- POS system — **17 %**
<!-- market-evidence -->