OpenClaw安装技能（Windows）。帮助用户在Windows上安装OpenClaw多渠道AI网关。自动检查环境依赖（Node.js、Git）、切换国内镜像源加速下载、执行NPM全局安装、配置AI模型提供商、启动Gateway服务、诊断故障。触发场景：安装OpenClaw、配置OpenClaw、OpenClaw环境搭建、OpenClaw报错等。
AI 扮演你的 Leader，用大厂管理思维 push 你成长。支持方案 Review、1-on-1 绩效谈话、KPI 季、复盘拷问、对齐会等场景。支持阿里/字节/腾讯/华为/美团/小米等大厂味道，支持自定义 Leader 人设。核心链路：AI（扮演 Leader）→ 用户。触发词：/leader, /review, /1on1, /kpi, /qbr, /flavor, /create-leader。
Deepgram API reference for speech-to-text, text-to-speech, voice agents, audio intelligence, and account management. Use whenever building with Deepgram APIs — REST or WebSocket. Covers authentication, all endpoints, query parameters, request/response schemas, and WebSocket message formats. Reference files are organized by domain: listen (STT), speak (TTS), agent (voice agents), read (text/audio intelligence), models, projects, auth, and self-hosted. --- # Deepgram API Build with Deepgram's speech-to-text, text-to-speech, voice agent, and audio intelligence APIs. ## Getting Started
Comparable company analysis using SEC EDGAR financial data.
Quality gates, session management, and maturity model for AI-assisted work
File a bug report or feature suggestion on GitHub via gh CLI. Gathers details conversationally, previews, and creates an issue. Use when the user wants to report a bug or suggest a feature.
Search, enrich, score, and analyze LinkedIn connections for prospecting. Use for finding leads, analyzing network hubs, scoring ICP fit, identifying referral partners, generating outreach campaigns, or producing network reports.
Stress-test architecture decisions by attacking assumptions, questioning alternatives, probing reversibility, and identifying likely production failure paths.
Independently search raw data for evidence that SUPPORTS and CHALLENGES each claim in the analysis. You are adversari...
Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses
Retrieves detailed company information including industry, size, location, and description from a domain name. Use when the user asks about a company, wants company details, or says "tell me about [company]".
aifed uses hashlines (LINE:HASH) to ensure deterministic, verifiable edits.
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:
