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♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Panniantong Panniantong
from GitHub Tools & Productivity
  • 📁 references/
  • 📄 SKILL.md
python search automation

agent-reach

Give your AI agent eyes to see the entire internet. 17 platforms via CLI, MCP, curl, and Python scripts. Zero config for 8 channels. 【路由方式】SKILL.md 包含路由表和常用命令，复杂场景需按需阅读对应分类的 references/*.md。 分类：search / social (小红书/抖音/微博/推特/B站/V2EX/Reddit) / career(LinkedIn) / dev(github) / web(网页/文章/公众号/RSS) / video(YouTube/B站/播客). Use when user asks to search, read, or interact on any supported platform, shares a URL, or asks to search the web.

⬇0 ❤14.5K 10 days ago · Uploaded Detail →
anthropics anthropics
from GitHub Development & Coding
  • 📁 references/
  • 📁 scripts/
  • 📄 LICENSE.txt
  • 📄 requirements.txt
  • 📄 SKILL.md
data instrument python

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

⬇0 ❤10.8K 8 days ago · Uploaded Detail →
Dicklesworthstone Dicklesworthstone
from GitHub Tools & Productivity
  • 📁 .beads/
  • 📁 .claude/
  • 📁 .codex/
  • 📄 .dockerignore
  • 📄 .env.example
  • 📄 .envrc
automation python coordination

agent-mail

MCP Agent Mail - Mail-like coordination layer for multi-agent workflows. Identities, inbox/outbox, file reservations, contact policies, threaded messaging, pre-commit guard, Human Overseer, static exports, disaster recovery. Git+SQLite backed. Python/FastMCP.

⬇0 ❤1.9K 12 days ago · Uploaded Detail →
databricks-solutions databricks-solutions
from GitHub Development & Coding
  • 📁 examples/
  • 📄 doc-index.md
  • 📄 SKILL.md
databricks python data

databricks-python-sdk

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API. Use when working with databricks-sdk, databricks-connect, or Databricks APIs.

⬇0 ❤1.1K 12 days ago · Uploaded Detail →
luoluoluo22 luoluoluo22
from GitHub Development & Coding
  • 📁 .github/
  • 📁 assets/
  • 📁 data/
  • 📄 .editorconfig
  • 📄 .gitignore
  • 📄 .pre-commit-config.yaml
python automation jywrapper

jianying-editor

剪映 (JianYing) AI自动化剪辑的高级封装 API (JyWrapper)。提供开箱即用的 Python 接口，支持录屏、素材导入、字幕生成、Web 动效合成及项目导出。

⬇0 ❤681 13 days ago · Uploaded Detail →
apache apache
from GitHub Development & Coding
  • 📄 SKILL.md
python functions security

check-upstream

Check if upstream Apache DataFusion features (functions, DataFrame ops, SessionContext methods, FFI types) are exposed in this Python project. Use when adding missing functions, auditing API coverage, or ensuring parity with upstream.

⬇0 ❤570 7 days ago · Uploaded Detail →
defendend defendend
from GitHub Development & Coding
  • 📁 references/
  • 📄 SKILL.md
find class python

ast-index

This skill should be used when the user asks to "find a class", "search for symbol", "find usages", "find implementations", "search codebase", "find file", "class hierarchy", "find callers", "module dependencies", "unused dependencies", "project map", "project conventions", "project structure", "what frameworks", "what architecture", "find Perl subs", "Perl exports", "find Python class", "Go struct", "Go interface", "find React component", "find TypeScript interface", "find Rust struct", "find Ruby class", "find C# controller", "find Dart class", "find Flutter widget", "find mixin", "find Scala trait", "find case class", "find object", "find PHP class", "find Laravel model", "find PHP trait", or needs fast code search in Android/Kotlin/Java, iOS/Swift/ObjC, Dart/Flutter, TypeScript/JavaScript, Rust, Ruby, C#, Scala, PHP, Perl, Python, Go, C++, or Protocol Buffers projects. Also triggered by mentions of "ast-index" CLI tool.

⬇0 ❤298 8 days ago · Uploaded Detail →
awp-core awp-core
from GitHub Tools & Productivity
  • 📁 assets/
  • 📁 references/
  • 📁 scripts/
  • 📄 .gitignore
  • 📄 CHANGELOG.md
  • 📄 LICENSE
awp protocol python

awp

AWP (Agent Working Protocol) on-chain tooling skill. Provides contract addresses, API endpoints, bundled Python scripts, and EIP-712 signing for interacting with the AWP protocol across Base, Ethereum, Arbitrum, and BSC. Covers: staking (veAWP deposits, allocations), worknet management (register, pause, resume, cancel), governance (propose, vote), gasless relay operations (bind, unbind, delegate, allocate), and real-time WebSocket event monitoring. Load this skill when the user mentions AWP, Agent Working Protocol, awp-wallet, veAWP, AWPWorkNet, worknet staking, AWP governance, AWP emissions, or wants to perform any AWP on-chain operation. NOT for: Uniswap, Aave, Lido, Compound, or other DeFi protocols unrelated to AWP.

⬇0 ❤278 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