GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
按职业浏览 Agent Skills
为不同岗位挑选的高频技能
按使用场景浏览 Agent Skills
从你要完成的任务出发
按创作者浏览 Agent Skills
按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196586
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
deploy-model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
finetuning
Fine-tune models on Azure AI Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
microsoft-foundry
Deploy, evaluate, fine-tune, and manage Foundry agents end-to-end with azd: hosted agent scaffold/run/deploy, prompt agent create, batch eval, continuous eval, prompt optimizer, Agent Optimizer scaffold, agent.yaml, dataset curation from traces, model fine-tuning (SFT/DPO/RFT). USE FOR: azd ai agent, azd provision/deploy, deploy agent, hosted agent, create agent, add tool to agent, invoke agent, evaluate agent, continuous eval, continuous monitoring, optimize prompt, improve prompt, optimize agent instructions, agent optimizer, deploy model, Foundry project, RBAC, role assignment, permissions, quota, capacity, region, troubleshoot agent, deployment failure, AI Services, create Foundry resource, provision, knowledge index, customize deployment, onboard, availability, fine-tune, SFT, DPO, RFT, training-data, grader, distillation, fine-tuned model, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).
i-have-adhd
Use concise, action-forward output discipline when a task or harness requires token-efficient updates: lead with the next action, bound steps, preserve state, suppress tangents, and make verification visible.
i-have-adhd
Use concise, action-forward output discipline when a task or harness requires token-efficient updates: lead with the next action, bound steps, preserve state, suppress tangents, and make verification visible.
hermes-youtube-faceless-news
Turn a day folder in content/yesterday-news/ into a faceless YouTube short (script -> visuals -> voiceover -> render pipeline). Use for Hermes YouTube automation of daily news recaps.
hermes-youtube-avatar-head
Produce avatar-head talking videos (a static or lightly animated head + voiceover) from a written script. Use for faceless "talking head" YouTube automation where no real face is used.
hermes-agent-skill-authoring
Author in-repo SKILL.md files: frontmatter and structure.
archify
Create validated architecture, workflow, sequence, data-flow, lifecycle/state, entity-relationship, class/interface, tree, timeline, and execution waterfall diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional motion, and image/SVG/WebM export. Accept plain-language requirements or Mermaid; inspect repository evidence for code-backed diagrams. Use when visualizing infrastructure, cloud/security networks, API calls, data pipelines, ETL/ELT, state machines, database schemas, class contracts, module hierarchies, incident/release histories, or request and agent-run timings. Also use for everyday subjects with steps, parts, relationships, or states: leave and travel plans, applications and approvals, renting conversations, money or document flows, and order progress. Not for numeric charts or dashboards.
version-bump
Bump version across all required files per CLAUDE.md checklist
create-migration
Generate an Alembic migration with proper naming and structure
claude-automation-recommender
Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.
mvp-slimdown
暂无简介
general
暂无简介
add-view
暂无简介
web-extract
获取社交/内容网站数据，Bilibili/知乎/微博/Reddit/HN/V2EX/雪球/微信读书/BOSS直聘/arXiv 等 60+ 站点的结构化数据，自动复用Chrome登录态，零风险。
openclaw-maintenance
诊断和维护 Matcha 托管的本地 OpenClaw，按证据申请最小修复并核实恢复。Use when 用户说 OpenClaw 起不来、启动失败、运行异常，要求检查配置、日志、数据库或进行维护修复；不用于创建 Agent、通用系统管理或后台巡检。