- 📄 SKILL.md
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Save a URL with an auto-generated summary to the knowledge base
Save a URL with an auto-generated summary to the knowledge base
Extract text and tables from PDF files. Use when working with PDFs or document extraction.
Google Workspace CLI (gws) — unified command-line tool for Gmail, Drive, Sheets, Docs, Calendar, Chat, Admin, and 40+ Google APIs. Use this skill when the user wants to interact with any Google Workspace service from the terminal or via AI agents, set up gws authentication, configure the gws MCP server, manage Google Drive files, read or send Gmail, create or query Google Sheets, edit Google Docs, manage Calendar events, or automate any Google Workspace workflow. Also activate when the user mentions 'gws', 'google workspace cli', 'google drive cli', 'gmail from terminal', 'sheets api', 'google docs api', 'gws mcp', 'workspace automation', or asks to 'list my drive files', 'send email via cli', 'read my calendar', 'update spreadsheet', 'create a google doc'. Do NOT activate for native Claude MCP integrations (claude_ai_Gmail, claude_ai_Google_Calendar) unless the user explicitly wants to use gws instead, or needs services not covered by native integrations (Sheets, Docs, Drive, Chat, Admin).
Complete adapter lifecycle assistant for LimaCharlie. Supports External Adapters (cloud-managed), Cloud Sensors (SaaS/cloud integrations), and On-prem USP adapters. Dynamically researches adapter types from local docs and GitHub usp-adapters repo. Creates, validates, deploys, and troubleshoots adapter configurations. Handles parsing rules (Grok, regex), field mappings, credential setup, and multi-adapter configs. Use when setting up new data sources (Okta, S3, Azure Event Hub, syslog, webhook, etc.), troubleshooting ingestion issues, or managing adapter deployments.
Automatically convert arXiv papers to well-structured Markdown documentation. Invoke with an arXiv ID to fetch materials (LaTeX source or PDF), convert to Markdown, and generate implementation-ready reference documentation with preserved mathematics and section structure.
AI-powered API documentation generation tool that auto-generates comprehensive API docs from source code, including OpenAPI/Swagger specs, Postman collections, and markdown documentation with examples and authentication details.
Audit all Claude memory and documentation files for staleness, symbol accuracy, and context budget.
Documentation lookup via Context7 REST API. Use when the user needs current library APIs, framework patterns, migration guidance, or official code examples for React, Next.js, Prisma, Express, Vue, Angular, Svelte, or other npm/PyPI packages. Use when the user says 'how do I use X library', 'what's the API for Y', or asks for official documentation.
Search the Claude knowledge graph vault for past Q&A sessions, concepts, and developer knowledge. Use when you need to find information from previous conversations, recall how something was done before, or look up stored technical knowledge. Supports Korean and English queries.
Run one or more codebase audits (evaluation, health, documentation) with parallel agent execution, producing intake docs for a single /pipeline run.
Generate change-local blackbox and API docs, or sync stable API reference docs, using task-driven inputs and a structured result with closed writeback boundaries.
Use when completing retro feature work, after implementation and tests pass, before creating PRs. Keywords: scenario tests, clean install, retro documentation updates.
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: