Type /context-generator to summarize your chat into a portable context block you can paste into any AI and continue where you left off.
../../../skill.md
Tend release workflow. Use when user asks to "do a release", "release a new version", "cut a release", or wants to publish a new version to PyPI.
Use the OfferPilot skill pack for resume optimization, China-first JD fit diagnosis, targeted resumes, and cover letters in Claude Code style repository agents. Trigger on short intents like "按照 offerpilot 优化简历", "用 offerpilot 做 JD 匹配", or "/offerpilot ...".
Cryptographic tool schema verification to prevent MCP Rug Pull attacks — ECDSA P-256 signing, SHA-256 hashing, TOFU key pinning, and .well-known discovery
Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject <=50 chars, body only when "why" is not obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes. --- Write commit messages terse and exact. Conventional Commits format. No fluff. Why over what. ## Rules **Subject line:** - `<type>(<scope>): <imperative summary>` - `<scope>` optional - Types: `feat`, `fix`, `refactor`, `perf`, `docs`, `test`, `chore`, `build`, `ci`, `style`, `revert` - Imperative mood: "add", "fix", "remove" - not "added", "adds", "adding" - <=50 chars when possible, hard cap 72 - No trailing period - Match project convention for capitalization after the colon **Body (only if needed):** - Skip entirely when subject is self-explanatory - Add body only for: non-obvious *why*, breaking changes, migration notes, linked issues - Wrap at 72 chars - Bullets `-` not `*` - Reference issues/PRs at end: `Closes #42`, `Refs #17` **What NEVER goes in:** - "This commit does X", "I", "we", "now", "currently" - the diff says what - "As requested by..." - use Co-authored-by trailer - "Generated with Claude Code" or any AI attribution - Emoji (unless project convention requires) - Restating the file name when scope already says it ## Examples
Teach MCP clients and connected AI assistants how to use the godot-devtool 2.6.4 MCP server for Godot 4 projects: map each common Godot operation to the right tool, use stdio/headless for repeatable edits, use WebSocket only for live editor/runtime state, and verify changes.
Use this skill when writing or debugging ES|QL queries for Elasticsearch. Activate when the user asks to query logs, metrics, traces, or any Elasticsearch data using ES|QL syntax.
Personal AI tutor — generates learning paths, sends daily tasks via Telegram, evaluates progress, and adapts to the learner.
追爱军师 — 帮你用最纯情的话把心上人追到手 | Love Strategist — win over your crush with the most sincere words
Use when the user wants to initialize a project development environment, establish a documentation system, set up an Agent Team, or says "harness", "project initialization", or "setup dev environment". Also automatically suggested at the first development session of a new project.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
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:
