Daily Featured Skills Count
3,909 3,920 3,927 3,966 4,007 4,057 4,069
04/07 04/08 04/09 04/10 04/11 04/12 04/13
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

nileshteji nileshteji
from GitHub Docs & Knowledge
  • 📁 agents/
  • 📁 assets/
  • 📁 references/
  • 📄 LICENSE.txt
  • 📄 SKILL.md

openai-docs

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.

0 6 12 days ago · Uploaded Detail →
ahundt ahundt
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md

ai-session-tools

Search, recover, and analyze AI session histories across Claude Code, AI Studio, and Gemini CLI. Use when user asks to "find that file from last week", "search sessions", "recover context after compaction", "what did the AI do", "export session to markdown", "find corrections", "analyze session quality", "improve CLAUDE.md from past mistakes", or "turn AI mistakes into rules". Contains session search, file recovery, correction detection, self-improvement workflow.

0 6 12 days ago · Uploaded Detail →
likai457661276 likai457661276
from GitHub Tools & Productivity
  • 📁 agents/
  • 📁 resources/
  • 📁 scripts/
  • 📄 SKILL.md

bingo-spec-coding-max-skill

初始化专用技能。仅在用户显式输入 `$bingo-spec-coding-max-skill` 时使用。将项目初始化为 Spec 驱动结构,创建 AGENTS.md、spec 目录及模板,并把 doc 目录下的提示词与示例注入到 spec/prompts 与 spec/usage。支持中文或英文 spec 环境,默认中文。支持 Windows 与 macOS,默认 dry-run,使用 --apply 才落地。

0 6 13 days ago · Uploaded Detail →
ThYpHo0n ThYpHo0n
from GitHub Development & Coding
  • 📁 agents/
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

copilot-claude-review-gate

Run a pre-wrap external review gate using GitHub Copilot CLI with Claude Opus 4.6 before finalizing substantial implementation work. Use when Codex has produced or updated plans and code and needs an independent pass for blockers, regressions, edge cases, and test gaps. Skip for trivial or purely conversational responses.

0 6 13 days ago · Uploaded Detail →
inkbox-ai inkbox-ai
from GitHub Tools & Productivity
  • 📁 src/
  • 📄 .env.example
  • 📄 pyproject.toml
  • 📄 README.md

browser-use

System prompt for an AI agent with Browser Use browser automation and Inkbox email. Drop this into your agent loop to get browser automation and email tools out of the box.

0 6 13 days ago · Uploaded Detail →
hccheung117 hccheung117
from GitHub Tools & Productivity
  • 📁 references/
  • 📁 scripts/
  • 📄 SKILL.md

ai-elements

Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.

0 6 13 days ago · Uploaded Detail →
ZhangYiqun018 ZhangYiqun018
from GitHub Development & Coding
  • 📄 SKILL.md

codex-debate

Run a multi-turn debate with Codex from Claude Code. Use when Claude should hold a structured point-by-point discussion with Codex over multiple rounds and then synthesize the outcome for the user.

0 6 13 days ago · Uploaded Detail →
utensils utensils
from GitHub Data & AI
  • 📄 SKILL.md

mold

Generate AI images locally using the mold CLI. Use when asked to generate, create, or produce images from text prompts, transform existing images (img2img), or manage local AI models.

0 6 14 days ago · Uploaded Detail →
upss-standard upss-standard
from GitHub Development & Coding
  • 📁 .github/
  • 📁 config/
  • 📁 docs/
  • 📄 .gitignore
  • 📄 AUTHORS.md
  • 📄 CHANGELOG.md

upss-security-guard

Enforces Universal Prompt Security Standard (UPSS) for every prompt interaction — detects and blocks prompt injection, jailbreaks, role confusion, privilege escalation, encoding exploits, and supply-chain tampering before any LLM execution.

0 5 9 days ago · Uploaded Detail →
labeveryday labeveryday
from GitHub Development & Coding
  • 📄 SKILL.md

autonomous-build

Converts a plan, idea, or app spec into a complete autonomous multi-session build setup that Claude Code can execute end-to-end without human intervention. Generates a structured PROMPT.md (the build spec) and build.sh (the loop runner) in the target project directory, ready to run overnight.

0 5 10 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