Daily Featured Skills Count
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

zhengyongjie16 zhengyongjie16
from GitHub Development & Coding
  • 📁 reference/
  • 📄 SKILL.md

code-review

This skill should be used when performing a structured, read-only code review of a file, module, diff, commit, or pull request, especially when the user asks to review a PR or diff, 审查一个模块或文件, 看看改动有没有问题, or coordinate multiple review perspectives from one manual entry point.

0 35 29 days ago · Uploaded Detail →
DGouron DGouron
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

agent-creator

Guide for creating optimized Claude Code agents. Use to design a new specialized agent, a swarm sub-agent, or a multi-agent workflow. Follows the Skill → Agent (preloaded skills) → Skill orchestration pattern.

0 35 29 days ago · Uploaded Detail →
cyberxuan-XBX cyberxuan-XBX
from GitHub Development & Coding
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md

skill-sanitizer

First open-source AI sanitizer with local semantic detection. 7 layers + code block awareness + LLM intent analysis. Catches prompt injection, reverse shells, memory tampering, encoding evasion, trust abuse. 85% fewer false positives in v2.1. Zero cloud — your prompts stay on your machine.

0 35 29 days ago · Uploaded Detail →
baidu-maps baidu-maps
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

bmap-jsapi-gl

百度地图 JSAPI WebGL (BMapGL)完整开发指南,覆盖地图初始化、覆盖物、图层、事件、样式、性能优化的任务,一站式开发高性能 3D 地图应用。当用户提及 BMapGL、百度地图、jsapi-gl或相关地图开发需求时自动触发。

0 35 1 month ago · Uploaded Detail →
christiandoxa christiandoxa
from GitHub Development & Coding
  • 📄 SKILL.md

caveman-commit

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

0 14 2 days ago · Uploaded Detail →

Skill File Structure Sample (Reference)

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

SKILL.md Requirements

├─ ⭐ 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

Why SkillWink?

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.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

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.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

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.

2. How do Skills work?

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.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code:~/.claude/skills/
  • Codex CLI:~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared 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.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up