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- 适合获取最新 AI / 大模型 / 生成式 AI 新闻、热点和来源列表。
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- 适合获取最新 AI / 大模型 / 生成式 AI 新闻、热点和来源列表。
查看 Claude Code 的 token 用量统计。按日期×模型维度拆分,支持按天数、项目过滤。触发词:"/cc-usage"、"看看用量"、"token 消耗"、"用量统计
宜搭 AI 应用开发总入口技能。通过有 AI Coding 能力的智能体(悟空/Claude/Open Code 等)+ 宜搭低代码平台,实现一句话生成完整应用。 包含应用创建、表单设计、自定义页面开发、页面发布、登录态管理等完整开发流程。 当用户提到"宜搭"、"yida"、"低代码"、"创建应用"、"创建表单"、"发布页面"、"搭建"、"系统"、等关键词时,使用此技能。
运行 Palace(三省六部)多智能体决策系统。当用户描述一个需要做决定的问题、想分析利弊、或提到 palace / 三省六部 / 帮我做决定 / 决策分析时使用。Claude 扮演三省六部的9个智能体,用户作为皇上在关键节点审批裁决。用法: /palace [描述你的决策问题]
分析部落格文章品質,5 大類 100 分評分。包含 AI 內容偵測、SEO 驗證、 E-E-A-T 評估。不需要 Python,完全由 Claude 執行分析。
实验性代理团队编排 — 通过 SharedTaskList 协调将 CC_GodMode 代理作为并行队友运行(需要 CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1)
提供 AI 应用开发、MCP 服务器工程、提示词工程与智能体框架集成能力。当需要构建或优化基于大模型的功能、工作流或平台集成时使用。
Execute Unity Editor commands (run tests, compile, get logs, refresh assets, play/pause/step) via file-based bridge. Auto-activates for Unity-related tasks. Requires com.mxr.claude-bridge package installed in Unity project.
基于 Vercel 的 agent-browser 的浏览器自动化 CLI,专为 AI 智能体设计。这是 AI 驱动的浏览器自动化的最佳工具——使用来自无障碍树的确定性引用代替脆弱的选择器。针对 LLM 进行了优化,具有快速的 Rust CLI、JSON 输出和专用的 AI 工作流。当您需要可靠、可脚本化的浏览器自动化时使用。
生成四格漫画(起承转合结构)。用户提供故事大纲,自动生成完整的四格漫画。内部调用 gemini-image-gen skill 进行图片生成。
为项目构建 .harness/ agent 协作系统。重点不是把文件铺满,而是让进入项目的 Claude/Codex agent 能持续判断角色、认领任务、回退错误、交接工作,并把代码稳定写出来。
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>
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: