- 📄 LICENSE
- 📄 README.md
- 📄 setup.sh
feishu-mcp
飞书全能 MCP - 创建/编辑文档、插入图表、管理表格、搜索知识库。整合社区版+官方 MCP,适配 Moltbot/Clawdbot。
飞书全能 MCP - 创建/编辑文档、插入图表、管理表格、搜索知识库。整合社区版+官方 MCP,适配 Moltbot/Clawdbot。
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Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.
cross-surface agent contracts, evaluate routing behavior, tighten invocation
Install and configure the memory-decay plugin for OpenClaw. Use when the user says "install memory-decay", "setup memory", "메모리 설치", "memory-decay 설치", or wants to add human-like memory with decay to their OpenClaw agent.
Persistent memory and context for AI agents using Cognis by Lyzr. Use this skill when the user mentions "remember this", "what did I work on", "save this for later", "team knowledge", "project context", "recall", "memory", or needs long-term memory across sessions. Also use when the user asks about past decisions, preferences, or prior conversations. Supports personal memory (per-user), team memory (shared across repo contributors), semantic search, and automatic context assembly.
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Google Workspace CLI (gws) — unified command-line tool for Gmail, Drive, Sheets, Docs, Calendar, Chat, Admin, and 40+ Google APIs. Use this skill when the user wants to interact with any Google Workspace service from the terminal or via AI agents, set up gws authentication, configure the gws MCP server, manage Google Drive files, read or send Gmail, create or query Google Sheets, edit Google Docs, manage Calendar events, or automate any Google Workspace workflow. Also activate when the user mentions 'gws', 'google workspace cli', 'google drive cli', 'gmail from terminal', 'sheets api', 'google docs api', 'gws mcp', 'workspace automation', or asks to 'list my drive files', 'send email via cli', 'read my calendar', 'update spreadsheet', 'create a google doc'. Do NOT activate for native Claude MCP integrations (claude_ai_Gmail, claude_ai_Google_Calendar) unless the user explicitly wants to use gws instead, or needs services not covered by native integrations (Sheets, Docs, Drive, Chat, Admin).
Evolve agent definitions in agents/*.md via multi-agent self-review. Spawns agents to review themselves, enforces Content Gate and 500-line budget, applies edits. Trigger: "evolve agents", "improve agents", "grow the team", "refine agents".
Spawns AI coding agents in isolated git worktrees. Use when the user asks to spawn or launch an agent, delegate a task to a separate agent, work in a separate worktree, or parallelize development across features.
Encrypted organizational memory workflow for Rune with activation checks and /rune (or $rune for Codex CLI) command behaviors across MCP-compatible agents.
基于任务类型动态调度到合适的智能体角色(架构师、产品经理、测试专家、独立开发者、UI 设计师)。支持多智能体协作、共识机制、完整项目生命周期管理、规范驱动开发、代码走读审查和项目理解能力。支持中英文双语。v2.3 新增多角色代码走读与审查功能。
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: