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

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hamsurang hamsurang
from GitHub Development & Coding
Deepwiki-cli 用户 不是

deepwiki-cli

当用户询问有关 GitHub 存储库的架构、API 或内部结构的问题，或提及 deepwiki-cli 或 DeepWiki 时使用。当用户需要了解他们尚未在本地克隆的代码库，或者询问库或框架如何工作时激活。不要激活磁盘或私有存储库上已可访问的本地代码库。 --- # deepwiki-cli 技能 deepwiki-cli 为 GitHub 存储库提供 AI 生成的 wiki 文档。使用“deepwiki-cli”直接查询 - 这只会将结果文本保留在 Claude 的上下文中，从而避免 MCP 协议开销。 ## 当此技能激活时 - 用户按名称引用 GitHub 存储库（所有者/存储库格式） - 用户询问库或框架如何工作 - 用户需要了解他们在本地未阅读的代码库 - 用户询问有关开源项目的架构或 API 问题 ## 如何使用 Run via `Bash` 工具： ```bash # 询问有关存储库的问题 deepwiki-cli Ask <owner/repo> "<question>" # 列出存储库的 wiki 主题 deepwiki-cli 结构<owner/repo> # 阅读完整的 wiki 内容 deepwiki-cli read <owner/repo> ``` ## 示例 ```bash deepwiki-cli 问 facebook/react“协调器如何工作？” deepwiki-cli 询问 vercel/next.js “App Router 架构是什么？” deepwiki-cli 结构 rust-lang/rust deepwiki-cli 读取 tokio-rs/tokio ``` ## 先决条件 必须安装 `deepwiki-cli` 二进制文件： ```bash Cargo install deepwiki-cli ``` 如果未找到该二进制文件，请通知 用户首先安装它。 ## 何时不使用 - 存储库已克隆到本地 - 直接使用 Glob/Grep/Read 工具 - 存储库是私有的 - deepwiki-cli 仅适用于公共存储库 - 用户询问当前工作目录中自己的代码 ## 错误处理 如果未安装 `deepwiki-cli` 或命令失败： 1. 检查二进制文件是否存在： `which deepwiki-cli` 2. 如果未找到，请告诉用户安装： `cargo install deepwiki-cli` 3. 如果未找到存储库，请验证所有者/存储库

⬇0 ❤15 14 days ago · Uploaded Detail →
YUCC-edu YUCC-edu
from GitHub Tools & Productivity
例子 用户 人工智能

wechat-allauto-gzh

微信公众号全自动写作系统。支持 20 种精美主题，自动生成封面，一键推送草稿箱。 适用场景： - 用户需要生成公众号文章草稿 - 用户想要切换多种排版主题 - 用户需要自动化内容生产流程 - 用户想要批量生成主题演示文章 <example>用户: "帮我写一篇关于人工智能的公众号文章"</example> <example>用户: "Generate a WeChat article about coffee culture"</example> <example>用户: "公众号文章排版，用科技主题"</example>

⬇0 ❤11 12 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