Daily Featured Skills Count
5,034 5,070 5,117 5,165 5,205 5,241 5,277
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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
kylezantos kylezantos
from GitHub Development & Coding
  • 📁 references/
  • 📁 templates/
  • 📁 workflows/
  • 📄 README.md
  • 📄 SKILL.md
automation ai articles

skill-distillery

Create or audit Claude Code skills. Synthesizes source material (articles, frameworks, talks) bottom-up into strategic, interactive skills — or audits existing skills through a multi-lens framework. Use when creating new skills, turning articles into skills, capturing AI workflows as skills, auditing/reviewing existing skills, or improving skill quality. Triggers on: create skill, build skill, new skill, skill from article, turn this into a skill, capture this as a skill, audit skill, review skill, evaluate skill, improve skill.

⬇0 ❤9 1 month ago · Uploaded Detail →
osabiohq osabiohq
from GitHub Data & AI
  • 📁 evals/
  • 📁 references/
  • 📄 SKILL.md
ai optimize optimization

ai-seo

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.

⬇0 ❤9 1 month ago · Uploaded Detail →
MarkShawn2020 MarkShawn2020
from GitHub Tools & Productivity
  • 📁 examples/
  • 📄 SKILL.md
ai code full-featured

lovcode-cli

We hacked Claude Code open-source, debugged it from scratch, and made it actually work. Full-featured AI coding CLI — your code, your keys, your rules.

⬇0 ❤9 1 month ago · Uploaded Detail →
netresearch netresearch
from GitHub Tools & Productivity
  • 📄 SKILL.md
docs ai knowledge

coach

Use when Claude makes repeated mistakes, users correct behavior, tool failures indicate missing knowledge, or managing learning via /coach commands.

⬇0 ❤9 1 month ago · Uploaded Detail →
nanxingw nanxingw
from GitHub Content & Multimedia
  • 📁 genres/
  • 📁 modules/
  • 📁 references/
  • 📄 SKILL.md
ai generation generate

asset-generation

Generate images and videos for Douyin (抖音) and Xiaohongshu (小红书) content using AI generation APIs. Use this skill whenever the user wants to generate images, create video clips, produce visual assets, render scenes from a storyboard, or when the pipeline step is "assets". Handles shot-by-shot image and video generation with style consistency, prompt engineering, and quality control.

⬇0 ❤9 1 month ago · Uploaded Detail →
inkbox-ai inkbox-ai
from GitHub Tools & Productivity
  • 📁 src/
  • 📄 .env.example
  • 📄 pyproject.toml
  • 📄 README.md
automation browser ai

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 ❤9 1 month ago · Uploaded Detail →
shinpr shinpr
from GitHub Docs & Knowledge
  • 📄 SKILL.md
management docs ai

knowledge-base

Project-specific prompt optimization knowledge management. Use when storing or retrieving learned patterns from comparisons. Provides schema, extraction criteria, capacity management, and retention scoring.

⬇0 ❤9 1 month ago · Uploaded Detail →
GAN-Thinking GAN-Thinking
from GitHub Research & Analysis
  • 📄 SKILL.md
ai loop autoresearch-inspired

evolve

AutoResearch-inspired self-evolution loop for ANY Claude Code skill. Finds flaws, fixes them, benchmarks against a diverse prompt pool (anti-overfitting), and uses blind A/B judging. Fully automated — no human input needed during the loop.

⬇0 ❤9 1 month ago · Uploaded Detail →
edwin-hao-ai edwin-hao-ai
from GitHub Tools & Productivity
  • 📁 scripts/
  • 📄 awareness-spec.json
  • 📄 CHANGELOG.md
  • 📄 mcp-stdio.cjs
memory ai automatically

awareness-memory

Persistent memory across sessions — local-first, no account needed. Automatically recalls past decisions, code, and tasks before each prompt, and saves session checkpoints. Also provides manual tools for searching, recording, and querying memory via Bash commands.

⬇0 ❤9 1 month 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