- 📄 SKILL.md
project-context-migration
Audit scattered repository docs and notes, then move only the right working context into the `project-context` structure.
Audit scattered repository docs and notes, then move only the right working context into the `project-context` structure.
Use when looking up library documentation, API references, framework patterns, or code examples for ANY library (React, Next.js, Vue, Django, Laravel, etc.). Fetches current docs via Context7 REST API. Triggers on: how to use library, API docs, framework pattern, import usage, library example.
Use when creating, editing, or reviewing TYPO3 extension documentation (Documentation/*.rst, guides.xml, README.md), rendering docs with Docker, using TYPO3 RST directives, adding screenshots, deploying to docs.typo3.org, setting up TYPO3 docs webhook, publishing TYPO3 documentation via Intercept, improve docs, add screenshots, fix documentation, or docs accuracy.
Use after modifying library skills, library commands, or agents to ensure CHANGELOG, README, and docs are updated
Root orchestration skill for screenplay creation. Routes requests by intent, medium, stage, output, and constraints, then loads the minimum necessary protocols, rubrics, and knowledge atoms.
Fetches up-to-date library documentation from Context7 and saves to /tmp/context7/. Use when needing current API docs, code examples, library references, SDK documentation, or checking latest library versions. Triggers: context7, c7, library docs, fetch docs, current documentation, api reference.
Apply Clean Architecture with four concentric layers (Entities, Use Cases, Interface Adapters, Frameworks & Drivers). Use when creating docs/architecture.md, designing new modules, or restructuring code with proper dependency direction. Make sure to use this skill whenever the user discusses layer boundaries, dependency direction, where to put new code, separating business logic from frameworks, or organizing project directory structure around architectural layers.
Audit docs against repo reality before or after changes.
分析前端项目源码并全量生成或重建 widget-knowledge-system Skill(路由索引与页面级操作文档);适用于首次建库、历史文档质量较差或发生大范围重构后的整体重建
Kalshi prediction markets API documentation. Use when building integrations with Kalshi's REST API or WebSocket streams for trading, market data, or portfolio management.
Standardized process for committing changes and releasing a new version. Includes steps for bumping versions in package files, updating the CHANGELOG.md, ensuring the README.md is up to date, and creating git release tags. Use when the user asks to "prepare a release", "bump the version", or "release a new version".
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
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: