ai-sdk-plugin-patterns
AI SDK 插件模式 - 工具配置、模式验证、API 集成。使用 @youdotcom-oss/api 实用程序。
Free to get · One-click to use
AI SDK 插件模式 - 工具配置、模式验证、API 集成。使用 @youdotcom-oss/api 实用程序。
基金估值系统技能。提供基金查询、实时估值、市场数据获取等功能,支持 HTTP API 调用方式。
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
通过 vite-plugin-pilot 在浏览器中测试页面。当需要查看页面状态、与页面元素交互、验证前端功能时使用。前置条件:vite-plugin-pilot 已安装且 dev server 已启动。
飞书/Lark 消息渠道工具集。通过 message 工具调用飞书 API,支持表情回应、消息操作、 群聊查询、文档/表格创建与编辑(含图片插入)、多维表格、话题帖子、云空间搜索与上传。
小米/米家智能家居设备控制。通过 MCP Server 工具控制家中的小米设备,包括灯、空气净化器、电暖气、空调、风扇、扫地机器人、窗帘等。当用户提到任何关于智能家居控制的指令时触发,如"把灯关掉"、"开空调"、"净化器调到睡眠模式"、"客厅太暗了"、"家里空气不好"等。即使用户没有明确说"小米"或"米家",只要涉及家居设备控制,都应该触发此 skill。也支持查询设备状态,如"空气质量怎么样"、"家里几度"等。
通过 Chrome DevTools 注入 XHR 拦截脚本来 mock 前端页面 API 数据,无需修改源码。当用户要求 mock 页面数据、前端没有后端可用、需要快速预览 UI 时触发。
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
├─ ⭐ 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
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.
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.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
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.
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.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused 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.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills: