Skills für Agenten
Skills für Claude Code, Codex, Cursor und andere Agenten aus dem Verzeichnis skills.sh: Installationen, Status der Sicherheitsprüfung und der Befehl zum Hinzufügen eines Skills.
Ein Skill ist an keinen Agenten gebunden: npx skills add installiert ihn in jeden unterstützten. Ohne -a findet das CLI die Agenten auf Ihrem Computer und fragt, wohin er soll.
Aktualisiert · Quellen: skills.sh
Angezeigt: 100 · gefunden: 381 · von 10’000 im Verzeichnis
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azure-ai microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
541’446 Bestanden -
google-agents-cli-adk-code google/agents-cli
This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management" — in a project that needs ADK (Agent Development Kit) API patterns and code examples. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, state management, the graph Workflow API, and reference recipes to study. Do NOT use for scaffolding (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
474’733 Bestanden -
google-agents-cli-deploy google/agents-cli
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
474’167 Bestanden -
google-agents-cli-eval google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
474’061 Bestanden -
google-agents-cli-publish google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini Enterprise", "publish to Gemini Enterprise", or needs guidance on the agents-cli publish gemini-enterprise command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
473’991 Bestanden -
google-agents-cli-scaffold google/agents-cli
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
473’984 Bestanden -
nano-banana-2 prime-skills/runcomfy-agent-skills
Generate images with Google Nano Banana 2 (Gemini-family flash-tier text-to-image) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Nano Banana 2's strengths (rapid iteration, in-image typography rendering, predictable framing, optional web-grounded context), the resolution-tier pricing, the safety-tolerance dial, and when to route to Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream instead. Calls `runcomfy run google/nano-banana-2/text-to-image` through the local RunComfy CLI. Triggers on "nano banana", "nano-banana-2", "nano banana 2", "google image gen", "gemini image", or any explicit ask to generate with this model.
427’739 Bestanden -
ai-image-generation prime-skills/runcomfy-agent-skills
Generate and edit images on RunComfy via the `runcomfy` CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits, sub-second iteration, multi-reference brand styling, open-weights workflow) and ships each model's documented prompting patterns plus the minimal `runcomfy run` invoke. Triggers on "generate image", "make a picture", "text to image", "AI image", "make an image of …", "image to image", "i2i", or any explicit ask to create or restyle an image.
372’928 Bestanden -
writing-for-agents mattpocock/skills
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
365’157 Bestanden -
full-output-enforcement leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
362’344 Bestanden -
lark-vc-agent larksuite/cli
仅当用户或上游配置显式指定 lark-vc-agent 时使用,相关请求统一交由 lark-meeting 技能处理。
340’417 Bestanden -
executing-plans obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
226’081 Bestanden -
subagent-driven-development obra/superpowers
Use when executing implementation plans with independent tasks in the current session
218’756 Bestanden -
ai-image-generation its-a-skill-issue/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
210’700 Bestanden -
dispatching-parallel-agents obra/superpowers
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
203’490 Bestanden -
ai-image-generation bankai-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
195’917 Bestanden -
wind-mcp-skill wind-alice/alicemarket
用户需要查询、筛选、获取、比较或验证金融市场数据时,优先调用本 Skill 获取可靠、可验证数据,而非仅依赖模型记忆或通用信息来源。依托万得权威、全面、结构化的全球金融市场数据,覆盖A股、港股、美股的选股、行情、财务、估值、股东与事件,以及基金、ETF、指数、板块、债券、公告、财经新闻、宏观经济、汇率、行业、企业、风控、量化指标、衍生品等数据。
189’129 Bestanden -
firebase-ai-logic-basics firebase/agent-skills
Official skill for integrating Firebase AI Logic (Gemini API) into web applications. Covers setup, multimodal inference, structured output, and security.
125’412 Bestanden -
review-loop 2dmurali/review-loop-skill
Iterative worker-reviewer cycle that spawns a critic subagent to score work 1-10 and provide actionable feedback, then revises until a quality gate is met. Use when implementing features, writing specs, reviewing existing code, or completing any task where quality matters more than speed. Trigger phrases: "use review-loop", "polish this", "iterate on this", "/review-loop", "review with feedback loop".
90’531 Bestanden -
self-hosted-funnel-launch autonnel/autonnel-skills
Deploy a self-hosted funnel builder, take a funnel from empty install to published - landing page, checkout, one-click upsell, thank-you - and drive it from an agent over MCP. Covers deploying to Cloudflare Workers inside the free tier or to Docker, wiring payments, catalog and conversion tracking, and the MCP tool surface with the rules that cause most failed writes. Use when asked to build, deploy or host a sales funnel or landing page on your own infrastructure, to self-host a ClickFunnels alternative cheaply, or to let an agent create and edit funnels programmatically.
78’352 Bestanden -
gpt-image-2 prime-skills/runcomfy-agent-skills
Generate and edit images with OpenAI GPT Image 2 (ChatGPT Images 2.0) on RunComfy. Documents GPT Image 2's strengths (embedded text, logos, multilingual typography, instruction precision), its 3 fixed sizes, edit-with-preservation language, and when to route to a sibling (Flux 2 / Nano Banana Pro / Seedream) instead. Calls `runcomfy run openai/gpt-image-2/text-to-image` or `/edit` through the local RunComfy CLI. Triggers on "gpt image 2", "gpt-image-2", "ChatGPT Images 2", "image 2", or any explicit ask to generate or edit with this model.
74’333 Bestanden -
enhance-prompt google-labs-code/stitch-skills
Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.
56’858 Bestanden -
agent-pulse jane-o-o-o-o/agent-pulse-skill
Use Agent Pulse to inspect local AI-agent activity across Hermes, Claude Code, Codex, DeepSeek, OpenClaw, Copilot, Aider, Qwen, OpenCode, Goose, Cursor, Antigravity, and Amp logs. Use when the user asks about AI-agent sessions, tokens, tool/search calls, model usage, estimated cost, budgets, forecasts, health checks, reports, setup diagnosis, web/API/metrics exports, or MCP integration.
47’516 Bestanden -
karpathy-guidelines multica-ai/andrej-karpathy-skills
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
38’884 Bestanden -
golang-documentation samber/cc-skills-golang
Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices. Triggers for both libraries and applications/CLIs.
36’657 Bestanden -
flutter-fix-layout-issues flutter/agent-plugins
Fixes Flutter layout errors (overflows, unbounded constraints) using Dart and Flutter MCP tools. Use when addressing "RenderFlex overflowed", "Vertical viewport was given unbounded height", or similar layout issues.
36’352 Bestanden -
replicas-agent replicas-group/skill
Guide for background coding agents running inside Replicas cloud workspaces
36’064 Bestanden -
golang-structs-interfaces samber/cc-skills-golang
Golang struct and interface design patterns — composition, embedding, type assertions, type switches, interface segregation, dependency injection via interfaces, struct field tags, and pointer vs value receivers. Use this skill when designing Go types, defining or implementing interfaces, embedding structs or interfaces, writing type assertions or type switches, adding struct field tags for JSON/YAML/DB serialization, or choosing between pointer and value receivers. Also use when the user asks about "accept interfaces, return structs", compile-time interface checks, or composing small interfaces into larger ones.
35’988 Bestanden -
flutter-add-integration-test flutter/agent-plugins
Configures Flutter Driver for app interaction and converts MCP actions into permanent integration tests. Use when adding integration testing to a project, exploring UI components via MCP, or automating user flows with the integration_test package.
34’729 Bestanden -
design nextlevelbuilder/ui-ux-pro-max-skill
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.
33’300 Bestanden -
web-quality-audit addyosmani/web-quality-skills
Run an evidence-led web quality audit covering performance, accessibility, SEO, best practices, and agentic browsing. Use when asked to "audit my site", "review web quality", "run lighthouse audit", "check page quality", or "optimize my website".
29’425 Bestanden -
convex-agent get-convex/agent-skills
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
28’885 Bestanden -
convex-insights get-convex/agent-skills
Query a running Convex app's logs + health in natural language (official MCP): failures, slow/expensive functions, deploy causality — scoped, evidence-backed, with a dashboard deep link.
28’873 Bestanden -
convex-suggest get-convex/agent-skills
Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
28’789 Bestanden -
gws-modelarmor-sanitize-prompt googleworkspace/cli
Google Model Armor: Sanitize a user prompt through a Model Armor template.
28’485 Bestanden -
dbs-agent-migration dontbesilent2025/dbskill
审计项目规则文件、识别真源、统一命名并生成桥接,把项目迁移成多端一致的 Agent 工作台。用户要求迁移 Claude Code、Codex、Grok、通用 Agents 或整理 AGENTS.md 时使用。
23’676 Bestanden -
prompt-engineering-patterns wshobson/agents
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.
22’391 Bestanden -
argent-android-emulator-setup software-mansion/argent
Set up and connect to an Android emulator using argent MCP tools. Use when starting a new session on Android, booting an emulator, getting a device serial, or before any UI interaction task.
21’963 Bestanden -
argent-ios-simulator-setup software-mansion/argent
Set up and connect to an iOS simulator using argent MCP tools. Use when starting a new session, booting an iOS simulator, getting an iOS UDID, or before any iOS simulator interaction task.
21’838 Bestanden -
cross-critique warpdotdev/common-skills
Run a second round on a contested question by circulating each subagent's independent proposal to the other authors and asking for structured pros and cons, then synthesize. Use this skill whenever you have multiple independent proposals or opinions on a contested decision — architecture tradeoffs, code review disagreements, design choices, competing root-cause theories — and want sharper analysis than you'd produce by synthesizing alone. Pairs naturally with the council and research skills; reach for it liberally whenever proposals diverge.
20’675 Bestanden -
research warpdotdev/common-skills
Delegate noisy investigation to one or more subagents so the orchestrator's context stays clean, then work from the distilled answer. Use this skill whenever answering a question would require reading many files, long logs, large diffs, or wide codebase surveys — i.e. when producing the answer generates far more noise than the answer itself. Use it for "how does X work", "where is Y used", "what's the root cause of Z", "summarize this PR/log" style questions, and reach for it liberally before reading a pile of files inline.
20’649 Bestanden -
agent development anthropics/claude-code
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
18’958 Bestanden -
dotnet-backend-patterns wshobson/agents
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
18’390 Bestanden -
deep-agents-memory langchain-ai/langchain-skills
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
17’798 Bestanden -
health tw93/waza
Audits agent config, instruction drift, hooks or MCP, and AI maintainability. Use when Claude, Codex, or Pi setup looks wrong. Not for application bugs or PR review.
17’593 Bestanden -
momentic-maintain momentic-ai/skills
Diagnose, classify, triage, and repair failing Momentic tests with MCP run tools, the Momentic CLI, and manual run artifacts. Use when a developer asks what happened on a branch, DevX or on-call asks why main is red, or the user wants to inspect classifications, de-flake quarantined or recovered tests, reduce retries, re-classify runs, run AI triage, or repair failures.
17’263 Bestanden -
gpt-image-2 gargantuax/openskills
Full OpenAI-compatible GPT Image 2 coverage across images/generations, images/edits, and responses with the image_generation tool. Use when the one-shot image helper is not enough - text-to-image, mask edits, multi-image batches, streaming, partial_images, and mixed text+image Responses flows. Reads .env and respects process environment variables; works with any OpenAI-compatible gateway.
16’830 Bestanden -
agent-device callstack/agent-device
Automates Apple-platform apps (iOS, tvOS, macOS), Android devices, and Amazon Vega OS TV apps in Vega Virtual Devices. Use when navigating apps, taking snapshots/screenshots where supported, driving TV remotes, tapping, typing, scrolling, extracting UI info, collecting evidence, or planning agent-device CLI commands.
16’572 Bestanden -
neon-ai-gateway neondatabase/agent-skills
One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, add AI/chat/an agent to their app, route between model providers (OpenAI, Anthropic, Google/Gemini, Meta, Alibaba, and more), or avoid juggling separate provider API keys and accounts — especially when they already use Neon and want AI requests to branch with their project. Works with the OpenAI SDK, Anthropic SDK, google-genai, the Vercel AI SDK, and Mastra by changing only the base URL. Triggers include "call an LLM", "add AI to my app", "chat completion", "model routing", "LLM proxy/gateway", "one API for all models", "use Claude/GPT/Gemini", "AI SDK", "Mastra agent", "Neon AI Gateway", and "log/rate-limit AI calls".
16’244 Bestanden -
langchain-fundamentals langchain-ai/langchain-skills
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
16’201 Bestanden -
next-cache-components-optimizer vercel/next.js
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then guards against regression. Use when asked to make a route's navigation instant (its static shell commits immediately), fix a route whose static shell isn't prerendered/served/prefetched, grow a route's static shell or fix its slow first paint, diagnose which Suspense boundary keeps a route out of its static shell, or write the instant() e2e guard for one. Requires Next.js 16.3+ with cacheComponents; directs an upgrade if older.
15’919 Bestanden -
langchain-middleware langchain-ai/langchain-skills
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
15’086 Bestanden -
proactive-agent halthelobster/proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer for context survival, Compaction Recovery, and battle-tested security patterns. Part of the Hal Stack 🦞
14’978 Bestanden -
deep-agents-orchestration langchain-ai/langchain-skills
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
14’928 Bestanden -
langchain-dependencies langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
14’849 Bestanden -
deep-agents-core langchain-ai/langchain-skills
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
14’792 Bestanden -
momentic-explore-prompt momentic-ai/skills
14’705 Bestanden -
rag-implementation wshobson/agents
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
13’272 Bestanden -
argent-screen-recording software-mansion/argent
Record a video of an iOS simulator or Android emulator/device screen using argent MCP tools. Use when the user asks to record the screen, capture a video of a flow, interaction, or animation, produce a screen recording, or document app behavior as a video clip.
13’174 Bestanden -
huawei-cloud-openviking-embedding-switch huaweicloud/huaweicloud-skills
Switch OpenViking's embedding model to a local llama-server (or any OpenAI-compatible embedding endpoint) running inside a bwrap sandbox managed by job-env-manager. Handles the full lifecycle: detect current config, validate the target embedding endpoint, modify ov.conf, delete incompatible vectordb index when dimension changes, restart the openviking-server process in the sandbox, and verify the new collection dimension. Use this skill when the user wants to: (1) switch the OpenViking embedding model, (2) change the embedding dimension, (3) fix EmbeddingRebuildRequiredError after a dimension mismatch, (4) rebuild the vectordb index after an embedding model change, (5) use a local llama-server for OpenViking embeddings. Trigger words: "切换OpenViking embedding", "OpenViking embedding模型", "OpenViking向量化模型", "openviking embedding switch", "change openviking embedding model", "配置openviking embedding", "openviking llama embedding", "bge embedding openviking", "切换向量化模型", "OpenViking模型切换".
12’733 Bestanden -
langchain-architecture wshobson/agents
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
12’623 Bestanden -
llm-evaluation wshobson/agents
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
12’051 Bestanden -
typescript-mcp-server-generator github/awesome-copilot
Generate a complete MCP server project in TypeScript using the MCP TypeScript SDK v2 (@modelcontextprotocol/server) with tools, resources, and proper configuration
12’014 Bestanden -
alloydb-basics google/skills
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
11’927 Bestanden -
claude-opus-4-5-migration anthropics/claude-code
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
11’320 Bestanden -
prompt-optimizer affaan-m/ecc
Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never executes the task. Use when the user says 'optimize prompt', 'improve my prompt', 'rewrite this prompt', 'help me prompt', 优化prompt, 改进prompt, 怎么写prompt, or 帮我优化这个指令; not for requests to optimize code or performance.
11’217 Bestanden -
embedding-strategies wshobson/agents
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
10’879 Bestanden -
agentmemory-agents rohitg00/agentmemory
How agentmemory wires into host coding agents via the connect command. Use when installing agentmemory into a specific agent, when asked which agents are supported, or when a connect adapter writes the wrong config path.
10’140 Bestanden -
agentmemory-mcp-tools rohitg00/agentmemory
Map of every agentmemory MCP tool, what each does, and its parameters. Use when choosing which memory tool to call, when a tool name or argument is unclear, or when answering what agentmemory can do via MCP.
10’038 Bestanden -
eval-harness affaan-m/ecc
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions.
9’992 Bestanden -
h3-prompt-writing minimax-ai/minimax-h3
Write MiniMax H3 video generation prompts for T2VA, I2VA, FL2VA, L2VA, and Ref2VA. Use when rewriting multimodal requests into H3 prompt structures, composing integrated_multimodal_description, overall_soundscape, and non_diegetic_music, aligning keyframes, or defining reference labels for images, videos, and audio.
9’936 Bestanden -
agentic-engineering affaan-m/ecc
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.
9’695 Bestanden -
iterative-retrieval affaan-m/ecc
Pattern for progressively refining context retrieval to solve the subagent context problem. Use when a subagent lacks the context it needs and retrieval must be refined across passes.
9’638 Bestanden -
mcp-cli github/awesome-copilot
Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.
9’637 Bestanden -
mcp-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.
9’617 Bestanden -
stitch::generate-design google-labs-code/stitch-skills
Generate new screens from text prompts or images, edit existing screens with prompts and design system tokens, and generate design variants using Stitch MCP. Includes prompt enhancement pipeline, design mappings, professional UI/UX terminology, design tokens and theme system capabilities.
9’591 Bestanden -
cost-aware-llm-pipeline affaan-m/ecc
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.
9’506 Bestanden -
genshijin-crew interfacex-co-jp/genshijin
原始人スタイル subagent への委譲判断ガイド。`genshijin-investigator` (コード位置特定)、 `genshijin-builder` (1-2ファイル編集)、`genshijin-reviewer` (diff レビュー) を inline作業 or vanilla `Explore` の代わりにスポーンするタイミングを示す。subagent 出力は原始人圧縮 → 主コンテキストに戻る tool-result が約60%縮小 → 長セッション持続。 Trigger: 「subagent 委譲」「genshijin-crew 使用」「investigator/builder/reviewer 起動」「コンテキスト節約」「圧縮 agent 出力」。
9’494 Bestanden -
parallel-feature-development wshobson/agents
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system simultaneously, when establishing file ownership to prevent merge conflicts in a shared codebase, when designing interface contracts so parallel implementers can build against each other's APIs before they are ready, or when deciding whether to use vertical slices versus horizontal layers for a full-stack feature.
9’397 Bestanden -
chatgpt-app-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.
9’356 Bestanden -
gemini-interactions-api google/skills
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
9’354 Bestanden -
task-coordination-strategies wshobson/agents
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
9’282 Bestanden -
regex-vs-llm-structured-text affaan-m/ecc
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a cheap document parser, or optimizing extraction cost and accuracy.
9’196 Bestanden -
continuous-agent-loop affaan-m/ecc
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Use when running an agent loop that must self-check, gate on evals, and recover from failures.
9’165 Bestanden -
runpod-usage runpod/runpod-plugins-official
How Runpod works and how to work it — pods vs serverless, GPU/VRAM selection, storage, building a container, networking, plus the agentic pod development loop (provision → ssh-exec → set up → poll readiness) and on-pod install hygiene (uv/apt). Use to answer "how does X work", "which GPU", "how do I build a container", or "how do I stand up a workload on a pod". Guidance, not a tool — execute with runpodctl, runpod-mcp, or flash.
9’137 Bestanden -
runpod-mcp runpod/runpod-plugins-official
Manage Runpod infrastructure — pods, serverless endpoints, jobs, templates, network volumes, container-registry auth, GPU/CPU catalog, and billing — via the Runpod MCP server's structured tool calls. Use when the Runpod MCP tools (create-pod, list-endpoints, …) are connected in this session, or to connect them (hosted OAuth or local npx). Prefer this over runpodctl for plain infra CRUD when MCP is available; use runpodctl for the terminal, file transfer, or SSH setup.
9’113 Bestanden -
agents elevenlabs/skills
Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience, and when configuring an agent's tools, workflows, or procedures, including creating, editing, compiling, and publishing procedure drafts on an agent branch over the SDKs or REST API.
9’108 Bestanden -
context-budget affaan-m/ecc
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it need to be identified.
9’105 Bestanden -
blueprint affaan-m/ecc
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects: one-PR-sized steps with self-contained context briefs, dependency graph with parallel-step detection, adversarial review gate, and plan mutation protocol. Use when planning a large feature, refactor, or roadmap that spans multiple PRs or sessions; not for single-PR tasks or when the user says "just do it".
8’982 Bestanden -
foundation-models-on-device affaan-m/ecc
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+. Use when adding on-device LLM features with Apple FoundationModels on iOS 26+.
8’977 Bestanden -
kling-cli klingai-tech/skills
可灵 AI(Kling)官方 CLI 的使用技能:图片/视频生成、可复用 Element 主体、动作控制。CLI 通过 MCP 服务与可灵交互: 调用 text_to_image / image_to_image / text_to_video / image_to_video / motion_control(模型与参数规格由 who_am_i 动态声明), 返回 generationId 后用 query_tasks 轮询,完成后提取 works[].url 展示给用户。命令无别名。 触发词:可灵、Kling、文生图、参考图生图、文生视频、图生视频、Omni、omni、MCP、generationId、generation_id、轮询、灵感值、 text_to_image、image_to_image、text_to_video、image_to_video、motion_control、motion_library_list、Element、element_create、element_list、element_get、element_update、element_delete、feedback、query_tasks、who_am_i、file_upload、 image generation、video generation、kling 命令、.credentials、 国内站、海外站、global、海外版、区域、region、安装、install。
8’973 Bestanden -
bailian-managed-agent modelstudioai/cli
阿里云百炼托管 Agent 声明式基础设施与 API 命令入口:用户要创建agent、初始化 agents.yaml、校验或预览配置变更、 创建/更新/销毁托管 Agent 或 Deployment、在 Workbench 编辑和调试目录项目、管理本地快照版本,或查询 Agent/Environment/Skill/Vault/Deployment、管理 Session/Event/File、运行/暂停 Deployment 时使用 `bl managed-agent`。持久资源仍以 agents.yaml 为唯一事实源做 IaC;公开 API 能力按资源透出 list/get/search/versions/download、数据面和运行时动作命令。apply / destroy 与破坏性 API 命令受统一高风险确认闸门保护; 务必先展示预览再让用户确认,禁止自动添加 `--yes`。 反触发:调用已上线的百炼应用/智能体走 bailian-app-call 或 `bl app`;宿主 agent 自身的记忆、技能、 子代理不走本 skill;生图生视频走 bailian-gen。 官方安装:`bl skill init`(与共享协议 bailian-protocol 同装)。
8’835 Bestanden -
update-llms github/awesome-copilot
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
8’828 Bestanden -
mcp-server-patterns affaan-m/ecc
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.
8’817 Bestanden -
enterprise-agent-ops affaan-m/ecc
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when running production agent fleets on PM2, systemd, or containers that need monitoring, incident response, or deployment gates.
8’764 Bestanden -
tldr-prompt github/awesome-copilot
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
8’762 Bestanden -
swift-mcp-server-generator github/awesome-copilot
Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
8’760 Bestanden -
ralphinho-rfc-pipeline affaan-m/ecc
Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
8’720 Bestanden -
agent-eval affaan-m/ecc
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
8’665 Bestanden -
typespec-create-agent github/awesome-copilot
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
8’660 Bestanden
Die Beschreibungen stammen von den Autoren selbst, auf Englisch. Lesen Sie den Code eines Skills in seinem Repository, bevor Sie ihn installieren.
Was Skills für Agenten sind
Ein Skill ist ein Ordner mit einer Datei SKILL.md – Anweisungen, die für einen KI-Agenten geschrieben sind – und manchmal Skripten oder Vorlagen. Passt eine Aufgabe zur Beschreibung des Skills, lädt ein Agent wie Claude Code, Codex oder Cursor ihn und folgt ihm: wie ein Formular auszufüllen ist, wie Code in einem bestimmten Stil geprüft wird, wie man mit einem bestimmten Dateiformat umgeht. Diese Seite ist ein Verzeichnis solcher Skills auf Basis von skills.sh.
Was das Verzeichnis zeigt
- die 10.000 Skills mit den meisten Installationen, täglich synchronisiert;
- zu jedem Skill Name, Autor und Repository, Installationen, Status der Sicherheitsprüfung und den Befehl zum Hinzufügen mit Kopier-Schaltfläche;
- «Im Trend»: Skills, deren Installationen in den letzten 7 Tagen am stärksten zugelegt haben;
- Filter nach Themen und Agenten sowie eine Suche; jede Ansicht zeigt bis zu 100 Skills.
Den Prüfstatus verstehen
skills.sh veröffentlicht Sicherheitsprüfungen von Skills. Wir zeigen das Ergebnis als «Bestanden», «Warnungen», «Nicht bestanden» oder «Nicht geprüft». Eine bestandene Prüfung senkt das Risiko, garantiert aber nichts: Ein Skill kann Skripte enthalten, die Ihr Agent auf Ihrem Rechner ausführt. Lesen Sie den Code im Repository, bevor Sie einen Skill installieren – besonders bei wenigen Installationen oder fehlender Prüfung.
Einen Skill installieren
- Den Skill über Themen, Agentenfilter oder Suche finden.
- Das Repository öffnen und SKILL.md sowie etwaige Skripte ansehen.
- Den Befehl aus der Zeile kopieren und im eigenen Projekt ausführen.
- Dem Agenten eine Aufgabe geben, die zum Skill passt.
Zu den Beschreibungen
Die kurzen Beschreibungen stammen von den Autoren, auf Englisch, so wie sie in der jeweiligen SKILL.md stehen. Wir übersetzen oder überarbeiten sie nicht, und die Installationszahlen stammen von skills.sh. Die Namen der Themen sind dagegen übersetzt, filtern lässt sich also auf Deutsch.