Daily Featured Skills Count
4,605 4,651 4,689 4,727 4,753 4,784 4,818
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
ondata ondata
from GitHub Data & AI
  • 📄 SKILL.md
data datasets files

data-exploration

Performs exploratory data analysis (EDA) on datasets from CKAN portals and CSV files. Use when analyzing datasets, checking data quality, exploring CSV files, or when the user asks to examine, analyze, or validate data.

⬇0 ❤36 1 month ago · Uploaded Detail →
zhengyongjie16 zhengyongjie16
from GitHub Development & Coding
  • 📁 reference/
  • 📄 SKILL.md
review diff when

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 27 days ago · Uploaded Detail →
DGouron DGouron
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation agent ai

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 28 days ago · Uploaded Detail →
cyberxuan-XBX cyberxuan-XBX
from GitHub Development & Coding
  • 📄 LICENSE
  • 📄 README.md
  • 📄 SKILL.md
ai data open-source

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 28 days ago · Uploaded Detail →
baidu-maps baidu-maps
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
bmapgl 百度地图 jsapi-gl

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 28 days ago · Uploaded Detail →
inhouseseo inhouseseo
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
automation keyword writer-ready

content-brief

Use when planning a new article. The agent Googles the keyword, reads the top 10 results, classifies intent, maps the content gap, and produces a writer-ready brief with structure, outline, and on-page artifacts. No keyword tool required.

⬇0 ❤32 17 days ago · Uploaded Detail →
javimosch javimosch
from GitHub Docs & Knowledge
  • 📄 SKILL.md
docs data automation

supercli-docs-dev

Use this skill when working on supercli documentation — editing docs/index.html, docs/plugins.html, creating scripts that generate doc data (meta-plugins.json), or aligning docs to current implementation. Covers the docs structure, terminology conventions, script patterns, and beads issue workflow.

⬇0 ❤31 14 days ago · Uploaded Detail →
fastxyz fastxyz
from GitHub Data & AI
  • 📁 references/
  • 📄 SKILL.md
skill-optimizer config npx

skill-optimizer

Benchmark and optimize SDK, CLI, MCP, and prompt documentation so every LLM model can reliably call the right actions with correct arguments. Use when setting up skill-optimizer for a project, running benchmarks, interpreting results, optimizing SKILL.md files, or diagnosing configuration issues. Also use when working inside the skill-optimizer repository itself — for running against mock repos, testing changes, or understanding the codebase. --- # skill-optimizer Benchmark your SDK / CLI / MCP / prompt docs against multiple LLMs, measure whether they call the right actions with the right arguments, and iteratively rewrite your guidance until a quality floor is met across every model. ## Context Detection Before doing anything, figure out where you are: 1. **Look for `skill-optimizer.json`** (in CWD or parent directories). If found, you are in a **configured target project**. Use that file path as `<config-path>` in all commands below. 2. **Look for `src/cli.ts` and a `package.json` with `"name": "skill-optimizer"`**. If found, you are in the **optimizer repo itself**. You can use dev commands directly (`npm run build`, `npm test`, `npx tsx src/cli.ts`). To benchmark a target, either use the mock repos in `mock-repos/` or point `--config` at an external project's config. 3. **Neither found** — you are in an **unconfigured target project**. Read `references/setup.md` to scaffold a config before proceeding. ## Quick Reference | Task | Command | |------|---------| | Init config | `npx skill-optimizer init cli\|sdk\|mcp\|prompt` | | Init (non-interactive) | `npx skill-optimizer init cli --yes` | | Import CLI commands | `npx skill-optimizer import-commands --from ./src/cli.ts` | | Import (binary scrape) | `npx skill-optimizer import-commands --from my-cli --scrape` | | Diagnose config | `npx skill-optimizer doctor --config <config-path>` | | Auto-fix config | `npx skill-optimizer doctor --fix --config <config-path>` | | Dry run (no LLM calls) | `npx skill-optimizer run -

⬇0 ❤31 15 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