3,758 Open Skills

Free to get · One-click to use

✅ Keyword search & category filters
✅ Discussions & community interaction
✅ Version updates & multi-metric ranking
✅ Open SKILL.md standard

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
Dicklesworthstone Dicklesworthstone
from GitHub Tools & Productivity
自动化 Python 协调

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 ❤1.8K 14 days ago · Uploaded Detail →
Linfee Linfee
from GitHub Tools & Productivity
自动化 智能体 指定

release-post-verify

在临时目录中用 uvx 或 uv tool run 安装 specify-cn 的 main 分支最新提交，对源码声明支持的 agent 执行 init，并校验版本、中文化、模板完整性、agent 文件落点与 ai-skills 安装结果。用于本地发布后验收。

⬇0 ❤521 16 days ago · Uploaded Detail →
kalil0321 kalil0321
from GitHub Development & Coding
Python 后端 自动化

reverse-engineering-api

Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients. Use when the user wants to create an API client for a website, automate web interactions, or understand undocumented APIs. Activate on tasks mentioning "reverse engineer", "API client", "HAR file", "capture traffic", or "automate website".

⬇0 ❤495 16 days ago · Uploaded Detail →
RuoJi6 RuoJi6
from GitHub Tools & Productivity
自动化 安全 爪哇

java-audit-pipeline

Java Web 全链路自动化安全审计流水线。使用 agent team 编排多个审计 skill，自动完成路由分析→鉴权审计→组件漏洞→交叉筛选→调用链追踪→漏洞深度分析→质量校验的完整流程。适用于：(1) 一键启动 Java 项目全量安全审计，(2) 自动识别无鉴权高危路由并精准分析漏洞，(3) 基于调用链的精准漏洞审计（减少误报），(4) 自动校验每个 skill 输出质量。用户只需提供源码路径和输出路径。

⬇0 ❤257 13 days ago · Uploaded Detail →
comeonzhj comeonzhj
from GitHub Tools & Productivity
制作内容 自动化 主题

makecontents

MakeContents AI 资讯 Agent 技能。当用户需要自动执行资讯拉取、筛选推送（AINews/AITopics/AITools）、内容创作、内容发布、内容归档等任务时使用此技能。此技能调用本地运行的 MakeContents 应用 API，无需人工干预即可完成完整的内容创作和分发流程。

⬇0 ❤246 14 days ago · Uploaded Detail →
echoVic echoVic
from GitHub Tools & Productivity
运维 自动化 老板

boss

BMAD 全自动项目编排 Skill。从需求到部署的完整研发流水线，编排多个专业 Agent（PM、架构师、UI 设计师、Tech Lead、Scrum Master、开发者、QA、DevOps）自动完成完整研发周期。当用户说 'boss mode'、'/boss'、'全自动开发'、'从需求到部署'、'帮我做一个'、'build this'、'ship it'、'全流程'、'自动化开发'、'一键开发'、'start a project'、'new feature' 时使用。适用于新项目搭建或现有代码库添加功能。

⬇0 ❤166 14 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