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Import Skills

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knowsuchagency knowsuchagency
from GitHub Development & Coding
后端 ql MCP

mcp2cli

Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI. Use this skill when the user wants to interact with an MCP server, OpenAPI/REST API, or GraphQL API via command line, discover available tools/endpoints, call API operations, or generate a new skill from an API. Triggers include "mcp2cli", "call this MCP server", "use this API", "list tools from", "create a skill for this API", "graphql", or any task involving MCP tool invocation, OpenAPI endpoint calls, or GraphQL queries without writing code.

⬇0 ❤1.6K 13 days ago · Uploaded Detail →
southliu southliu
from GitHub Development & Coding
后端 粗品 代码片段

demo-create

基于项目中 .vscode/south.code-snippets 定义的 CRUD 模板，快速生成后台管理系统的标准 CRUD 页面代码。该技能根据用户提供的业务模块信息（如模块名称、API路径、字段配置等），自动生成完整的页面文件（Page）、数据模型文件（Model）和 API 接口文件（Api），支持分页列表页面（demoPage）、独立操作页面（demoOptionPage）两种页面模式。

⬇0 ❤541 1 day 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 →
freee freee
from GitHub Development & Coding
后端 自由的 操作

freee-api-skill

freee API を MCP 経由で操作するスキル。会計・人事労務・請求書・工数管理・販売の詳細APIリファレンスと使い方ガイドを提供。経費申請・取引登録・勤怠打刻・給与明細・見積書・試算表・仕訳・従業員管理・工数登録・売上管理など、freee関連の操作やAPI仕様を調べたいときに使う。

⬇0 ❤347 14 days ago · Uploaded Detail →
aliramw aliramw
from GitHub Data & AI
表格 后端 dingtalk_mcp_

dingtalk-ai-table

钉钉 AI 表格（多维表）操作技能。使用 mcporter CLI 连接钉钉官方新版 AI 表格 MCP server，基于 baseId / tableId / fieldId / recordId 体系执行 Base、Table、Field、Record 的查询与增删改。适用于创建 AI 表格、搜索表格、读取表结构、批量增删改记录、批量建字段、更新字段配置、按模板建表等场景。需要配置 DINGTALK_MCP_URL 或直接使用 Streamable HTTP URL。

⬇0 ❤71 12 days ago · Uploaded Detail →
vintasoftware vintasoftware
from GitHub Development & Coding
Python 前端 后端

cdrf-expert

使用 Classy DRF (https://www.cdrf.co) 的 Django REST Framework 基于类的视图的专家指南。在选择或调试 APIView、GenericAPIView、具体通用视图、mixin 组合或 ViewSet/GenericViewSet/ModelViewSet 行为时使用；跟踪方法解析顺序 (MRO)；了解要重写的方法（“create”与“perform_create”、“update”与“perform_update”、“destroy”与“perform_destroy”、“get_queryset”、“get_serializer_class”）；并比较不同 DRF 版本的行为。请勿用于基于函数的视图、GraphQL、FastAPI/Flask、前端工作或非 DRF 后端框架。

⬇0 ❤23 13 days ago · Uploaded Detail →
share-skills share-skills
from GitHub Development & Coding
后端 编译 舰队

pi

PI 智行合一。触发：编程/开发/fleet/代码/架构/API/调试/bug/报错/测试/编译/compile/test/git/make/发布/验证/产品/需求/运营/增长/创意/设计/协作/团队/沟通/交互/陪伴/情感，或失败2+次/打转/言退/再试试/换个参数/算了

⬇0 ❤17 6 days ago · Uploaded Detail →
jovanSAPFIONEER jovanSAPFIONEER
from GitHub Tools & Productivity
自动化 Python 后端

Network-AI

Python orchestration skill: local multi-agent workflows via blackboard file, permission gating, and token budget scripts. All execution is local — no network calls, no Node.js required. TypeScript/Node.js features (HMAC tokens, AES-256, MCP server, 14 adapters, CLI) are in the SEPARATE companion npm package (npm install -g network-ai) and are NOT part of this skill bundle.

⬇0 ❤17 15 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