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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Lionad-Morotar Lionad-Morotar
from GitHub Tools & Productivity
徽章 代币 自动化

repo-tokens-count

为 GitHub 项目添加 token count badge，自动计算代码库的 token 数量并生成可视化 SVG badge。 当用户需要：展示项目代码规模、添加 token 统计 badge、衡量代码库对 LLM 上下文窗口的占用比例时触发。 适用于任何希望展示代码库规模的 GitHub 项目，支持自定义文件匹配模式、上下文窗口大小和 badge 样式。 --- # Repo Tokens Count Skill 为 GitHub 项目添加自动化的 token 统计 badge，显示代码库规模及其相对于 LLM 上下文窗口的占比。 ## 功能 - 自动计算代码库的 token 数量 - 生成彩色 SVG badge（绿色/黄绿/黄色/红色根据占比自动调整） - 支持自定义统计的文件范围和排除规则 - 支持自定义 LLM 上下文窗口大小 - 通过 GitHub Actions 自动更新 ## 使用方式 用户使用示例： ``` 为当前项目添加 token count badge ``` 或 ``` 给 https://github.com/user/repo 添加 token badge，统计 src 目录下的 ts 文件 ``` ## 工作流程 ### 1. 分析项目结构 - 检查项目类型和主要语言 - 识别源代码目录结构 - 确认 README.md 位置 ### 2. 创建 GitHub Actions Workflow 在 `.github/workflows/tokens.yml` 创建 workflow： ```yaml

⬇0 ❤7 7 days ago · Uploaded Detail →
KarnaughK KarnaughK
from GitHub Tools & Productivity
自动化 帮助用户从 当用户需要

adoc

Agent Doc - 文档驱动开发助手。帮助用户从需求到交付全流程管理： 定义项目方向 → 设计功能模块 → 创建迭代计划 → 执行并验证。 使用场景：当用户需要启动新项目、设计产品功能、创建开发计划、继续中断的工作时。 关键词：文档驱动、项目管理、需求分析、迭代开发、plan、spec、intent

⬇0 ❤7 11 days ago · Uploaded Detail →
lldxflwb lldxflwb
from GitHub Development & Coding
法典 自动化 修改循环而

codex-plan

与 Codex 进行多轮对抗式计划讨论。当用户希望 Codex 对计划、方案或架构设计进行深度审查，期望自动化多轮质疑-修改循环而非单次反馈时触发。典型表达：'和 codex 讨论计划''让 codex 审查方案''codex 对抗式讨论''多轮讨论方案''把计划给 codex 过一遍'。若用户只是让 codex 看一眼或给个简单意见，应使用 codex skill。

⬇0 ❤5 1 day ago · Uploaded Detail →
lza6 lza6
from GitHub Tools & Productivity
自动化 核心 开爪

aiwritex

智能内容创作平台 - 7阶段认知工作流，从热点发现到文章发布全流程自动化。 零配置开箱即用，完美适配 OpenClaw v1.0.0+。 支持多平台发布（公众号、小红书、知乎、抖音等）、去AI化处理，质量审计与优化。 采用 CORE-EEAT 质量标准确保内容专业性，支持 WAL 协议记忆系统和生命周期管理。

⬇0 ❤6 5 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