Skill per agenti
Skill per Claude Code, Codex, Cursor e altri agenti dalla directory skills.sh: installazioni, stato dell'audit di sicurezza e il comando per aggiungere una skill.
Una skill non è legata a un solo agente: npx skills add la installa in qualsiasi agente supportato. Senza -a, la CLI trova gli agenti sul tuo computer e chiede dove aggiungerla.
Aggiornato · Fonti: skills.sh
Mostrate: 100 · trovate: 359 · su 10.000 nella directory
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ai-image-generation 101-skills/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
676.825 Avvisi -
azure-aigateway microsoft/azure-skills
Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
539.358 Avvisi -
google-agents-cli-workflow google/agents-cli
This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and troubleshooting steps for ADK or any agent development.
474.081 Avvisi -
google-agents-cli-observability google/agents-cli
This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
473.943 Avvisi -
git-guardrails-claude-code mattpocock/skills
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
430.155 Avvisi -
gpt-image-edit prime-skills/runcomfy-agent-skills
Edit images with OpenAI GPT Image 2 (the `/edit` endpoint of ChatGPT Images 2.0) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents GPT Image Edit's strengths (preservation language, multilingual in-image text editing, multi-reference up to 10 images, layout / typography precision), the schema, and when to route to Nano Banana Edit / Flux Kontext / GPT Image 2 t2i instead. Calls `runcomfy run openai/gpt-image-2/edit` through the local RunComfy CLI. Triggers on "gpt image edit", "gpt-image-edit", "chatgpt image edit", "edit with gpt image 2", or any explicit ask to edit with this model.
426.300 Avvisi -
ai-image-generation qu-skills/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
361.700 Avvisi -
claude-handoff mattpocock/skills
Hand the current conversation off to a fresh background agent that picks up the work immediately.
347.373 Avvisi -
entra-agent-id microsoft/azure-skills
Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmi_path, OBO, cross-tenant) including the Microsoft Entra SDK for AgentID sidecar. USE FOR: Agent Identity Blueprint, BlueprintPrincipal, agent OAuth, fmi_path token exchange, agent OBO, Workload Identity Federation for agents, polyglot agent auth, Microsoft.Identity.Web.AgentIdentities. DO NOT USE FOR: standard Entra app registration (use entra-app-registration), Microsoft Foundry agent authoring (use microsoft-foundry).
309.875 Avvisi -
ai-image-generation magentosh/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
289.329 Avvisi -
ai-image-generation skills-shell/superpowers
Generate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt. Capabilities: text-to-image, image-to-image, inpainting, LoRA, image editing, upscaling, text rendering. Use for: AI art, product mockups, concept art, social media graphics, marketing visuals, illustrations. Triggers: flux, image generation, ai image, text to image, stable diffusion, generate image, ai art, midjourney alternative, dall-e alternative, text2img, t2i, image generator, ai picture, create image with ai, generative ai, ai illustration, grok image, gemini image, gpt image, openai image, chatgpt image
217.145 Avvisi -
ai-seo coreyhaines31/marketingskills
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'llms-full.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' 'agent-readable site,' 'agent readiness,' 'is my site agent-ready,' 'WebMCP,' 'do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' or 'AI citation format shift.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
136.839 Avvisi -
agent-browser 101-skills/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
127.960 Avvisi -
mcp-builder anthropics/skills
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).
122.278 Avvisi -
agents-sdk cloudflare/skills
Build, debug, or review Cloudflare Agents SDK applications using the agents package.
88.275 Avvisi -
infsh-cli 101-skills/superpowers
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
85.162 Avvisi -
agent-tools 101-skills/superpowers
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
85.121 Avvisi -
caveman-discover juliusbrussee/caveman
Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.
82.883 Avvisi -
browser-mcp-agent antibrow/anti-detect-browser-skills
Give an AI agent its own real browser over MCP tool calls - launch, navigate, click, fill, screenshot, extract text, run JS - with a kernel-level real-device fingerprint and a persistent profile, so the session stays logged in between runs and pages see one coherent device instead of a headless build. No Playwright or SDK code to write. Use when an agent should operate a site itself, when a computer-use / browser-use setup needs a captured real fingerprint rather than a synthetic one, when agent sessions keep losing their login, or when comparing hosted agent-browser services. Also for 'MCP browser', 'browser MCP server', 'let my agent browse the web', 'agent browser control', 'browser-use MCP', 'computer use browser', 'Browserbase alternative', 'Steel browser alternative', 'headless browser detected'. Node (npx) or Python; Windows x64, macOS Intel + Apple Silicon, Linux x64 / arm64. SDK and REST reference is anti-detect-browser; account isolation is multi-account-isolation.
82.134 Avvisi -
caveman-setup juliusbrussee/caveman
Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.
82.020 Avvisi -
firecrawl-agent firecrawl/cli
Autonomously navigate websites and extract structured data across pages. Use when the task requires navigation or no suitable ready-made workflow or data provider covers it.
80.101 Avvisi -
claude-api anthropics/skills
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
69.004 Avvisi -
agent-browser qu-skills/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
68.775 Avvisi -
ai-sdk vercel/ai
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
61.395 Avvisi -
momentic-result-classification momentic-ai/skills
Classify or explain Momentic test run results using Momentic MCP tools. Use when the user asks to categorize a failure, understand why a run failed, triage test results, or compare run results to past run results.
58.437 Avvisi -
agent-browser magentosh/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
54.511 Avvisi -
infsh-cli qu-skills/superpowers
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
45.764 Avvisi -
using-agent-skills addyosmani/agent-skills
Discovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or workflow applies to the piece of work at hand. This is the meta-skill that governs how all other skills are discovered and invoked.
44.153 Avvisi -
browser-testing-with-devtools addyosmani/agent-skills
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
43.455 Avvisi -
agent-browser skills-shell/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
40.632 Avvisi -
pexo-agent pexoai/pexo-skills
AI video generation skill with auto model selection across Seedance 2, Kling 3.0, HappyHorse, and 10+ models. Produces finished multi-shot videos (5–120s) from text, images, URLs, scripts, or audio — including AI music, lip sync, and multi-shot sequencing. Calls Pexo's external API, manages project status and billing confirmations, and transfers only user-approved briefs and assets. Runs setup diagnostics, stores generated downloads locally, and requires shell, outbound HTTPS, and local file access. Authenticated requests are locked to https://pexo.ai. No prompts to write, no models to choose. USE FOR: video production, AI video, make a video, product video, brand video, promotional clip, explainer video, short video, TikTok video, Instagram Reel, YouTube Short, product ad, text-to-video, image-to-video, video generation, AI video agent.
40.246 Avvisi -
agent-browser its-a-skill-issue/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
39.660 Avvisi -
agent-tools magentosh/superpowers
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
36.383 Avvisi -
agent-browser bankai-skills/superpowers
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
36.321 Avvisi -
tavily-search tavily-ai/skills
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
34.214 Avvisi -
mcp-apps-builder mcp-use/mcp-use
Build, modify, debug, migrate, review, or verify TypeScript MCP servers and MCP Apps with mcp-use. Use for tools, resources, prompts, middleware, Views, authentication, Skills over MCP, scaffolding, and advanced features.
30.050 Avvisi -
baoyu-danger-gemini-web jimliu/baoyu-skills
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
27.512 Avvisi -
infsh-cli skills-shell/superpowers
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
27.511 Avvisi -
council warpdotdev/common-skills
Run a model-diverse subagent council to investigate the same problem from multiple perspectives, compare findings, and produce a final recommendation. Use this skill whenever the user asks for a council, second opinions, multiple agents/models to evaluate one question, parallel investigation, red-team/blue-team comparison, or help deciding between competing technical approaches.
26.542 Avvisi -
gemini-api-dev google-gemini/gemini-skills
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.
23.003 Avvisi -
argent-device-interact software-mansion/argent
Interact with an iOS simulator, Android emulator, or Chromium (CDP) app using argent MCP tools. Use when tapping UI elements, performing gestures, scrolling/swiping, typing text, pressing hardware buttons, launching apps, opening URLs, taking screenshots, waiting for an element to appear or disappear, or checking visible app state after interactions. Not for TV targets.
21.759 Avvisi -
argent-test-ui-flow software-mansion/argent
Autonomously test an app UI (iOS or Android) by running interact-screenshot-verify loops using argent MCP tools. Use when testing UI flows, verifying login works, testing navigation, running end-to-end UI test scenarios, manual QA steps, visible UI changes, or visual behavior.
21.717 Avvisi -
Run an autonomous, spec-driven development "saga" for medium-to-large features using an orchestrator agent and a fleet of worker subagents. Use this skill whenever the user invokes /saga, asks to autonomously build a sizable feature end-to-end with minimal human intervention, wants a comprehensive spec broken into milestones and tasks with airtight validation criteria before parallelized implementation, or wants an orchestrator to delegate implementation to worker agents while preserving its own context window. Trigger on phrases like "run a saga", "autonomously implement this feature", "spec it out then build it with subagents", "orchestrate this big feature end-to-end", or "build this with workers and validate each step". Also use this skill when asked to continue, resume, or pick up an existing saga from its saga directory (e.g. under ~/.sagas).
19.497 Avvisi -
bailian-cli modelstudioai/cli
阿里云百炼 / Aliyun Bailian / DashScope 资源管理与 `bl` CLI hub: 应用调用(bl app)、应用记忆、知识库检索、模型目录/模型列表、用量/额度/配额、免费额度、 工作空间、MCP 市场、pipeline、文件上传、console API、登录鉴权与配置、 Agent skill 安装/列表/更新/卸载(bl skill add|list|update|remove,百炼 skill registry)。 用户点名百炼 / DashScope / `bl`,或继续既有 `bl` 工作流时直接使用。 共享协议(consent / 版本预检 / 鉴权 / 错误上报)在 bailian-protocol;官方安装 `bl skill init`。 家族路由:生图/生视频/配音/语音合成/转写 → bailian-gen;精调/微调/训练/数据集 → bailian-finetune; agents.yaml 托管 Agent → bailian-managed-agent;Sandbox 实例与模版 → bailian-sandbox; 联网搜索的模型路由(Token Plan 自带搜索 vs MCP 搜索 + 兜底)→ bailian-web-search。 不要用于普通问答、编程、写作、翻译、摘要、泛搜索,或图片理解等宿主自己能做的任务(普通问答、编程、写作、翻译、摘要、泛搜索不触发)。 未命名用量/额度问题:先问用户使用哪个产品,再运行 `bl usage` / `bl quota` 查询。
18.425 Avvisi -
agent-reach panniantong/agent-reach
MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/Boss直聘/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 16 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工(本 skill 只负责从互联网获取内容); 发帖/评论/点赞等写操作;已有专门 skill 的平台(先用专门 skill)。 【路由方式】SKILL.md 包含路由表和常用命令,复杂场景需按需阅读对应分类的 references/*.md。 分类:search / social (小红书/推特/B站/V2EX/Reddit/Facebook/Instagram) / career(LinkedIn/Boss直聘) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客) / finance(雪球/股票)。
18.237 Avvisi -
playwright-generate-test github/awesome-copilot
Generate a Playwright test based on a scenario using Playwright MCP
18.077 Avvisi -
expo-skill-eval expo/skills
Evaluate Expo skills in this repo end-to-end - trigger accuracy, generated code quality, and runtime screenshots on iOS simulator and Android emulator via Expo Go (web optional). Use when the user wants to eval an Expo skill, test that a skill produces working code, benchmark a skill with device screenshots, or verify a skill's output renders correctly.
18.074 Avvisi -
github-issues github/awesome-copilot
Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, manage repository labels, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", "set the priority", "set the start date", "create a label", "rename a label", "list repo labels", "link issues", "add dependency", "blocked by", "blocking", or any GitHub issue management task.
16.927 Avvisi -
okx-agentic-wallet okx/onchainos-skills
Operate OKX Onchain OS wallets and execute or inspect on-chain transactions. Use for wallet login/status/accounts/addresses/balances/holdings; receive/send/transfer; swaps, bridges, limit orders, contract calls, gas estimation, simulation, broadcast, and tracking; Bitcoin UTXO/BRC-20/inscriptions; signing, approvals, wallet policy/export, public-address portfolios, security checks, and audit logs.
16.665 Avvisi -
langchain-rag langchain-ai/langchain-skills
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
16.282 Avvisi -
gemini-api google/skills
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.
15.886 Avvisi -
chrome-devtools github/awesome-copilot
Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
15.092 Avvisi -
playwright-explore-website github/awesome-copilot
Website exploration for testing using Playwright MCP
14.747 Avvisi -
playwright-automation-fill-in-form github/awesome-copilot
Automate filling in a form using Playwright MCP
13.673 Avvisi -
okx-agent-payments-protocol okx/onchainos-skills
Handle agent payments and paid endpoints via x402, MPP, payment links, a2a-pay, and HTTP-payment recurring or metered billing. Use for HTTP 402/payment-required; paid Agent or A2MCP endpoints; x402/Permit2; MPP channels, vouchers, or sessions; HTTP-payment subscriptions; or paymentId/link operations or status. Trigger phrases: x402/x402Version, X-PAYMENT, PAYMENT-REQUIRED, PAYMENT-SIGNATURE, WWW-Authenticate: Payment, x402 exact/exact+Permit2/upto/aggr_deferred, MPP charge/session, channelId/channel_id, payment-channel voucher/topup/settle/refund, metered billing, paymentId, a2a_, payment link, A2MCP, paid endpoint, and HTTP 402 period/permit2_subscription.
12.966 Avvisi -
gemini-watermark-remover gargantuax/gemini-watermark-remover
Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.
12.838 Avvisi -
penpot-uiux-design github/awesome-copilot
Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".
12.675 Avvisi -
gemini-interactions-api google-gemini/gemini-skills
12.350 Avvisi -
claude-md-improver anthropics/claude-plugins-official
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".
11.461 Avvisi -
managed-pentesting-with-strix usestrix/strix
Run a managed pentest of a web app, API, repository, or local workspace on the app.strix.ai platform with the `strix cloud` CLI or REST API — no local Docker or LLM key needed. Safely review and upload local source, register assets, launch and poll scans, triage vulnerabilities, export SARIF, download compliance reports, start PR reviews, buy credits, and set up schedules or webhooks. Use for managed, continuous, scheduled, team-tracked, or sandboxed-agent security testing.
11.175 Avvisi -
nanobanana gargantuax/openskills
Gemini-native Nano Banana image generation and editing across Nano Banana, Nano Banana 2, and Nano Banana Pro. Use when you need text-to-image, image-to-image edits, repeated local references, batch generation, dry-run request inspection, or a custom Gemini-compatible base URL such as a self-hosted gateway.
10.553 Avvisi -
python-mcp-server-generator github/awesome-copilot
Generate a complete MCP server project in Python with tools, resources, and proper configuration
10.357 Avvisi -
ai-prompt-engineering-safety-review github/awesome-copilot
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
10.245 Avvisi -
agentic-eval github/awesome-copilot
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
10.174 Avvisi -
gpt-image 101-skills/superpowers
Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marketing visuals, image editing, concept art, inpainting, photo manipulation. Triggers: gpt image, gpt-image-2, openai image, chatgpt image, dall-e, dalle, openai image generation, gpt image edit, gpt inpainting, openai dall-e, gpt 4o image
9.941 Avvisi -
deep-research affaan-m/ecc
Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.
9.889 Avvisi -
nano-banana-pro-openrouter github/awesome-copilot
Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
9.882 Avvisi -
search-first affaan-m/ecc
Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist.
9.765 Avvisi -
boost-prompt github/awesome-copilot
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
9.738 Avvisi -
agent-governance github/awesome-copilot
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
9.600 Avvisi -
gemini-live-api-dev google-gemini/gemini-skills
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynchronous function calling, session management, ephemeral tokens, live transcription, and live translation. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).
9.417 Avvisi -
autonomous-loops affaan-m/ecc
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems. Retained for compatibility only: when new autonomous loop guidance is needed, use continuous-agent-loop instead.
9.410 Avvisi -
prompt-builder github/awesome-copilot
9.398 Avvisi -
copilot-sdk github/awesome-copilot
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
9.380 Avvisi -
create-llms github/awesome-copilot
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
9.140 Avvisi -
go-mcp-server-generator github/awesome-copilot
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
9.112 Avvisi -
sentry-fix-issues getsentry/sentry-for-ai
Find and fix issues from Sentry using MCP. Use when asked to fix Sentry errors, debug production issues, investigate exceptions, or resolve bugs reported in Sentry. Methodically analyzes stack traces, breadcrumbs, traces, and context to identify root causes.
9.025 Avvisi -
agent-platform-skill-registry google/skills
Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.
9.003 Avvisi -
microsoft-skill-creator github/awesome-copilot
Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
9.002 Avvisi -
documentation-lookup affaan-m/ecc
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
8.989 Avvisi -
aspire github/awesome-copilot
Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
8.981 Avvisi -
finalize-agent-prompt github/awesome-copilot
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
8.965 Avvisi -
exa-search affaan-m/ecc
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
8.943 Avvisi -
data-scraper-agent affaan-m/ecc
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
8.901 Avvisi -
php-mcp-server-generator github/awesome-copilot
Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK
8.873 Avvisi -
workiq-copilot github/awesome-copilot
Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.
8.831 Avvisi -
mcp-deploy-manage-agents github/awesome-copilot
Skill converted from mcp-deploy-manage-agents.prompt.md
8.825 Avvisi -
emblem-ai-prompt-examples emblemcompany/agent-skills
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
8.782 Avvisi -
suggest-awesome-github-copilot-agents github/awesome-copilot
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
8.772 Avvisi -
browser-qa affaan-m/ecc
Run automated post-deploy UI verification with a browser automation MCP (claude-in-chrome, Playwright, or Puppeteer): console-error and Core Web Vitals smoke checks, form and auth-flow interaction tests, screenshot visual regression across three breakpoints, and axe-core accessibility audits ending in a SHIP / DO-NOT-SHIP verdict. Use when testing a deployed feature on staging or preview, before shipping frontend changes, reviewing a frontend PR, or checking responsive layout and accessibility.
8.772 Avvisi -
fal-ai-media affaan-m/ecc
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
8.767 Avvisi -
java-mcp-server-generator github/awesome-copilot
Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.
8.762 Avvisi -
mcp-create-adaptive-cards github/awesome-copilot
Skill converted from mcp-create-adaptive-cards.prompt.md
8.712 Avvisi -
mcp-create-declarative-agent github/awesome-copilot
Skill converted from mcp-create-declarative-agent.prompt.md
8.701 Avvisi -
power-platform-mcp-connector-suite github/awesome-copilot
Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
8.667 Avvisi -
mcp-copilot-studio-server-generator github/awesome-copilot
Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support
8.665 Avvisi -
kotlin-mcp-server-generator github/awesome-copilot
Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.
8.664 Avvisi -
declarative-agents github/awesome-copilot
Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
8.663 Avvisi -
entra-agent-user github/awesome-copilot
Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.
8.609 Avvisi -
ruby-mcp-server-generator github/awesome-copilot
Generate a complete Model Context Protocol server project in Ruby using the official MCP Ruby SDK gem.
8.597 Avvisi
Le descrizioni sono degli autori, in inglese. Leggi il codice di una skill nel suo repository prima di installarla.
Che cos'è una skill
Una skill è una cartella con un file SKILL.md e, se serve, alcuni script: contiene istruzioni che un agente carica quando il compito corrisponde, per esempio come scrivere test in un certo framework o come preparare un rilascio. Questa directory raccoglie le skill di skills.sh per Claude Code, Codex, Cursor e altri agenti. Per ciascuna trovi nome, autore e repository, installazioni, stato dell'audit di sicurezza e il comando per aggiungerla, con il pulsante «Copia il comando».
Cosa mostra la pagina
- 10.000 skill ordinate per installazioni, sincronizzate ogni giorno da skills.sh;
- la vista «Di tendenza», basata sulle installazioni guadagnate negli ultimi 7 giorni;
- i filtri per argomento e per agente e una ricerca, con al massimo 100 skill per vista.
Le descrizioni sono quelle scritte dagli autori, in inglese, e non vengono tradotte.
Come leggere l'audit
Lo stato dell'audit viene dagli audit pubblicati da skills.sh e ha quattro valori: «Superato», «Avvisi», «Non superato» e «Non verificata». Un audit superato è un buon segnale, ma non una garanzia: una skill può eseguire script sul tuo computer, quindi leggi il codice nel repository su GitHub prima di installarla. Diffida delle skill che chiedono accessi non necessari al loro scopo.
Come aggiungere una skill
Trovata la skill che ti serve, controlla con quali agenti è compatibile, apri il repository e leggi il file SKILL.md per capire cosa fa. Poi copia il comando con il pulsante dedicato e lancialo nella cartella del progetto o nella configurazione del tuo agente. Dopo l'installazione, prova la skill su un compito semplice e verifica che l'agente la usi come previsto.
Da dove vengono i numeri
Le installazioni sono contate da skills.sh, non da noi: servono a capire cosa usano gli altri sviluppatori, non a giudicare la qualità. Il codice di ogni skill sta nel suo repository. Per scegliere l'agente a cui aggiungerle, consulta la pagina degli agenti di programmazione.