Daily Featured Skills Count
3,840 3,909 3,920 3,927 3,966 4,007 4,027
04/06 04/07 04/08 04/09 04/10 04/11 04/12
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

czlonkowski czlonkowski
from GitHub Development & Coding
  • 📄 BUILTIN_FUNCTIONS.md
  • 📄 COMMON_PATTERNS.md
  • 📄 DATA_ACCESS.md

n8n-code-javascript

Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with $helpers, working with dates using DateTime, troubleshooting Code node errors, or choosing between Code node modes.

0 4.1K 7 days ago · Uploaded Detail →
exa-labs exa-labs
from GitHub Docs & Knowledge
  • 📄 SKILL.md

code-search-exa

Code context using Exa. Finds real snippets and docs from GitHub, StackOverflow, and technical docs. Use when searching for code examples, API syntax, library documentation, or debugging help.

0 4.2K 10 days ago · Uploaded Detail →
millionco millionco
from GitHub Development & Coding
  • 📄 SKILL.md

code-review

Perform code reviews. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

0 3.3K 6 days ago · Uploaded Detail →
JuliusBrussee JuliusBrussee
from GitHub Development & Coding
  • 📄 SKILL.md

caveman

Ultra-compressed communication mode. Slash token usage ~75% by speaking like caveman while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested. --- # Caveman Mode ## Core Rule Respond like smart caveman. Cut articles, filler, pleasantries. Keep all technical substance. ## Grammar - Drop articles (a, an, the) - Drop filler (just, really, basically, actually, simply) - Drop pleasantries (sure, certainly, of course, happy to) - Short synonyms (big not extensive, fix not "implement a solution for") - No hedging (skip "it might be worth considering") - Fragments fine. No need full sentence - Technical terms stay exact. "Polymorphism" stays "polymorphism" - Code blocks unchanged. Caveman speak around code, not in code - Error messages quoted exact. Caveman only for explanation ## Pattern ``` [thing] [action] [reason]. [next step]. ```

0 1.5K 6 days ago · Uploaded Detail →
MicrosoftDocs MicrosoftDocs
from GitHub Development & Coding
  • 📄 SKILL.md

microsoft-code-reference

Find working code samples, verify API signatures, and fix Microsoft SDK errors using official docs. Use whenever the user is writing, debugging, or reviewing code that touches any Microsoft SDK, .NET library, Azure client library, or Microsoft API—even if they don't ask for a "reference." Catches hallucinated methods, wrong signatures, and deprecated patterns. If the task involves producing or fixing Microsoft-related code, this is the right skill.

0 1.5K 12 days ago · Uploaded Detail →
microsoft microsoft
from GitHub Testing & Security
  • 📄 SKILL.md

auth

Activate when code touches token management, credential resolution, git auth flows, GITHUB_APM_PAT, ADO_APM_PAT, AuthResolver, HostInfo, AuthContext, or any remote host authentication — even if 'auth' isn't mentioned explicitly. --- # Auth Skill [Auth expert persona](../../agents/auth-expert.agent.md) ## When to activate - Any change to `src/apm_cli/core/auth.py` or `src/apm_cli/core/token_manager.py` - Code that reads `GITHUB_APM_PAT`, `GITHUB_TOKEN`, `GH_TOKEN`, `ADO_APM_PAT` - Code using `git ls-remote`, `git clone`, or GitHub/ADO API calls - Error messages mentioning tokens, authentication, or credentials - Changes to `github_downloader.py` auth paths - Per-host or per-org token resolution logic ## Key rule All auth flows MUST go through `AuthResolver`. No direct `os.getenv()` for token variables in application code.

0 1.1K 12 days ago · Uploaded Detail →
figma figma
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md

figma-code-connect

Creates and maintains Figma Code Connect template files that map Figma components to code snippets. Use when the user mentions Code Connect, Figma component mapping, design-to-code translation, or asks to create/update .figma.js files.

0 867 11 days ago · Uploaded Detail →
xiaods xiaods
from GitHub Development & Coding
  • 📄 SKILL.md

k8e-sandbox-skill

Provides sandbox tools for safely running code, scripts, and shell commands in an isolated K8E environment — never on the host. Use this skill for ANY code execution request. This means: running Python/bash/Node.js code, data analysis, CSV/Excel processing, file manipulation, package installation, or any terminal operation. CRITICAL: Always trigger this skill when the user wants something actually executed or run — not just written or explained. Trigger for English requests like "run this", "execute", "test it", "check if this works", "install X and use it". Trigger equally for Chinese requests: "帮我跑一下", "运行这个", "试试这个", "执行一下", "跑一下", "测试这段代码", "帮我分析这个CSV", "帮我跑这段代码", "跑一下看看", "帮我试试", "能不能跑", "看看输出", "帮我算一下", "帮我处理这个文件", "安装并使用". When a user pastes code and wants results, use this skill. When in doubt, use the sandbox — it's always safer than running on the host.

0 440 8 days ago · Uploaded Detail →
huangjia2019 huangjia2019
from GitHub Development & Coding
  • 📄 SKILL.md

code-reviewing

Review code for quality, security, and best practices. Use when the user asks for code review, wants feedback on their code, mentions reviewing changes, or asks about code quality.

0 379 6 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