مهارات الوكلاء
مهارات لـ Claude Code وCodex وCursor ووكلاء آخرين من دليل skills.sh: عدد التثبيتات، وحالة التدقيق الأمني، والأمر لإضافة المهارة.
المهارة غير مرتبطة بوكيل واحد: يثبّتها الأمر npx skills add في أي وكيل مدعوم. بدون -a تكتشف الأداة الوكلاء المثبّتين على جهازك وتسألك أين تضيفها.
تاريخ التحديث · المصادر: skills.sh
المعروض: 100 · النتائج: ٣٨١ · من أصل ١٠٬٠٠٠ في الدليل
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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.
٥٤١٬٤٤٦ ناجح -
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).
٤٧٤٬٧٣٣ ناجح -
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).
٤٧٤٬١٦٧ ناجح -
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).
٤٧٤٬٠٦١ ناجح -
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).
٤٧٣٬٩٩١ ناجح -
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).
٤٧٣٬٩٨٤ ناجح -
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.
٤٢٧٬٧٣٩ ناجح -
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.
٣٧٢٬٩٢٨ ناجح -
writing-for-agents mattpocock/skills
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
٣٦٥٬١٥٧ ناجح -
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.
٣٦٢٬٣٤٤ ناجح -
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。
٣٤٠٬٤١٧ ناجح -
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
٢٢٦٬٠٨١ ناجح -
subagent-driven-development obra/superpowers
Use when executing implementation plans with independent tasks in the current session
٢١٨٬٧٥٦ ناجح -
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
٢١٠٬٧٠٠ ناجح -
dispatching-parallel-agents obra/superpowers
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
٢٠٣٬٤٩٠ ناجح -
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
١٩٥٬٩١٧ ناجح -
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。
١٨٩٬١٢٩ ناجح -
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.
١٢٥٬٤١٢ ناجح -
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".
٩٠٬٥٣١ ناجح -
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.
٧٨٬٣٥٢ ناجح -
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.
٧٤٬٣٣٣ ناجح -
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.
٥٦٬٨٥٨ ناجح -
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.
٤٧٬٥١٦ ناجح -
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.
٣٨٬٨٨٤ ناجح -
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.
٣٦٬٦٥٧ ناجح -
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.
٣٦٬٣٥٢ ناجح -
replicas-agent replicas-group/skill
Guide for background coding agents running inside Replicas cloud workspaces
٣٦٬٠٦٤ ناجح -
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.
٣٥٬٩٨٨ ناجح -
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.
٣٤٬٧٢٩ ناجح -
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.
٣٣٬٣٠٠ ناجح -
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".
٢٩٬٤٢٥ ناجح -
convex-agent get-convex/agent-skills
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
٢٨٬٨٨٥ ناجح -
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.
٢٨٬٨٧٣ ناجح -
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.
٢٨٬٧٨٩ ناجح -
gws-modelarmor-sanitize-prompt googleworkspace/cli
Google Model Armor: Sanitize a user prompt through a Model Armor template.
٢٨٬٤٨٥ ناجح -
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。
٢٣٬٦٧٦ ناجح -
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.
٢٢٬٣٩١ ناجح -
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.
٢١٬٩٦٣ ناجح -
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.
٢١٬٨٣٨ ناجح -
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.
٢٠٬٦٧٥ ناجح -
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.
٢٠٬٦٤٩ ناجح -
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.
١٨٬٩٥٨ ناجح -
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.
١٨٬٣٩٠ ناجح -
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.
١٧٬٧٩٨ ناجح -
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.
١٧٬٥٩٣ ناجح -
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.
١٧٬٢٦٣ ناجح -
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.
١٦٬٨٣٠ ناجح -
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.
١٦٬٥٧٢ ناجح -
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".
١٦٬٢٤٤ ناجح -
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.
١٦٬٢٠١ ناجح -
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.
١٥٬٩١٩ ناجح -
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.
١٥٬٠٨٦ ناجح -
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 🦞
١٤٬٩٧٨ ناجح -
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.
١٤٬٩٢٨ ناجح -
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.
١٤٬٨٤٩ ناجح -
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.
١٤٬٧٩٢ ناجح -
momentic-explore-prompt momentic-ai/skills
١٤٬٧٠٥ ناجح -
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.
١٣٬٢٧٢ ناجح -
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.
١٣٬١٧٤ ناجح -
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".
١٢٬٧٣٣ ناجح -
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.
١٢٬٦٢٣ ناجح -
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.
١٢٬٠٥١ ناجح -
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
١٢٬٠١٤ ناجح -
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.
١١٬٩٢٧ ناجح -
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.
١١٬٣٢٠ ناجح -
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.
١١٬٢١٧ ناجح -
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.
١٠٬٨٧٩ ناجح -
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.
١٠٬١٤٠ ناجح -
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.
١٠٬٠٣٨ ناجح -
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.
٩٬٩٩٢ ناجح -
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.
٩٬٩٣٦ ناجح -
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.
٩٬٦٩٥ ناجح -
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.
٩٬٦٣٨ ناجح -
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.
٩٬٦٣٧ ناجح -
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.
٩٬٦١٧ ناجح -
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.
٩٬٥٩١ ناجح -
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.
٩٬٥٠٦ ناجح -
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」。
٩٬٤٩٤ ناجح -
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.
٩٬٣٩٧ ناجح -
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.
٩٬٣٥٦ ناجح -
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.
٩٬٣٥٤ ناجح -
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.
٩٬٢٨٢ ناجح -
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.
٩٬١٩٦ ناجح -
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.
٩٬١٦٥ ناجح -
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.
٩٬١٣٧ ناجح -
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.
٩٬١١٣ ناجح -
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.
٩٬١٠٨ ناجح -
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.
٩٬١٠٥ ناجح -
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".
٨٬٩٨٢ ناجح -
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+.
٨٬٩٧٧ ناجح -
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。
٨٬٩٧٣ ناجح -
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)。
٨٬٨٣٥ ناجح -
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/
٨٬٨٢٨ ناجح -
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.
٨٬٨١٧ ناجح -
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.
٨٬٧٦٤ ناجح -
tldr-prompt github/awesome-copilot
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
٨٬٧٦٢ ناجح -
swift-mcp-server-generator github/awesome-copilot
Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
٨٬٧٦٠ ناجح -
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.
٨٬٧٢٠ ناجح -
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.
٨٬٦٦٥ ناجح -
typespec-create-agent github/awesome-copilot
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
٨٬٦٦٠ ناجح
الأوصاف من كتابة المؤلفين أنفسهم وباللغة الإنجليزية. اقرأ شيفرة المهارة في مستودعها قبل تثبيتها.
ما هي مهارات الوكلاء؟
المهارة مجلد فيه ملف SKILL.md وسكربتات اختيارية، يحمله الوكيل عندما تتطابق المهمة مع وصف المهارة. مهارة لكتابة الاختبارات مثلا تعطي الوكيل تعليمات وأدوات جاهزة بدلا من أن تشرحها له في كل مرة. هذه الصفحة تعرض مهارات من دليل skills.sh لوكلاء مثل Claude Code وCodex وCursor وغيرها.
ماذا تعرض كل بطاقة؟
- اسم المهارة والمؤلف والمستودع.
- عدد التثبيتات وفق skills.sh.
- حالة «التدقيق الأمني»: «ناجح»، أو «تحذيرات»، أو «فاشل»، أو «غير مدقَّق».
- أمر إضافة المهارة مع زر «نسخ الأمر».
ما حجم الدليل هنا؟
نعرض أعلى 10,000 مهارة حسب التثبيتات، مع مزامنة يومية. تبويب «الرائجة» يرتب حسب التثبيتات المكتسبة خلال آخر 7 أيام. ويمكنك التصفية حسب الموضوع أو الوكيل أو البحث بالاسم، مع 100 مهارة كحد أقصى في كل عرض.
هل المهارة الناجحة في التدقيق آمنة؟
التدقيق الناجح ليس ضمانا. حالات التدقيق مأخوذة من التدقيقات التي ينشرها skills.sh، والمهارة قد تحتوي سكربتات يشغلها الوكيل على جهازك. اقرأ شيفرة المهارة في مستودعها على GitHub قبل تثبيتها، خاصة إن كانت تنفذ أوامر أو تتصل بالإنترنت.
كيف أقرأ عدد التثبيتات؟
العدد الكبير يعني أن المهارة مستخدمة على نطاق واسع، لا أنها مناسبة لمشروعك أو خالية من المشكلات. أما «الرائجة» فتكشف المهارات الجديدة التي تكتسب اهتماما بسرعة، وقد تكون مفيدة لكنها لم تختبر طويلا بعد. استخدم التصفية حسب الوكيل الذي تعمل به حتى لا تثبت مهارة لا يدعمها.
لماذا الأوصاف بالإنجليزية؟
الأوصاف كتبها المؤلفون أنفسهم بالإنجليزية، ونعرضها كما هي دون ترجمة حتى لا يتغير معناها. عدد التثبيتات أيضا من حساب skills.sh، لا من حسابنا.
كيف أبدأ؟
ابحث عن مهمة تكررها كثيرا مع وكيلك، وابحث عن مهارة لها، واقرأ الشيفرة، ثم انسخ الأمر ونفذه في مشروعك. وللاطلاع على الوكلاء أنفسهم راجع صفحة وكلاء البرمجة.