Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.361 de skill-uri din 2.397 de depozite · actualizat acum 38 de minute
49.361 de skill-uri
- add-pdf-viewermicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for native PDF control workflows. Handles HTTPS and file URI PDF viewing with @microsoft/power-apps-native-pdf-viewer 0.2.9+.DocumenteFără avertismente★ 1,1 K↓ —
- deploy-to-vercelvercel-labs/agent-skillsDeploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".OficialDevOpsFără avertismente★ 33,6 K↓ —
- mcp-server-builderalirezarezvani/claude-skillsUse when exposing an API as an MCP server or scaffolding a new MCP server in Python or TypeScript, before hand-writing tool wrappers. Generates tools from OpenAPI with openapi_to_mcp.py and validates them with mcp_validator.py.RedactareFără avertismente★ 29,3 K↓ —
- run-without-youalirezarezvani/claude-skillsUse when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates cron with cron_validator.py and builds the deployment with deployment_builder.py.DevOpsFără avertismente★ 29,3 K↓ —
- ui-design-systemalirezarezvani/claude-skillsUse when building a design system: tokens, component docs, responsive scales or developer handoff. Generates tokens with design_token_generator.py.DesignFără avertismente★ 29,3 K↓ —
- mcp-mocked-markeralibaba/skill-upMCP mocked marker smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 K↓ —
- bamadaveebbelaar/bamaBuild any Mac app. Start here to pick the next skill for a native macOS app.AlteleFără avertismente★ 1,6 K↓ —
- app-icondaveebbelaar/bamaLiquid Glass macOS app icon made as an Icon Composer file (Icon/AppIcon.icon, JSON plus SVG layers), compiled with actool, and reviewed in every look with ictool. Use when the user wants an app icon, a better icon, or a Dock icon.AlteleFără avertismente★ 1,6 K↓ —
- design-kitdaveebbelaar/bamaCustom design system for a macOS SwiftUI app with its own parts, not Apple's, covering three token layers, type, an icon set, every part in every state, custom window chrome, a parts gallery, and checks. Use when the user wants the app to have its own look and feel, a brand, or custom buttons, rows, and sidebars, when design-from-app has measured a reference app, or when the user asks for a design system or component library.DesignFără avertismente★ 1,6 K↓ —
- improve-loopdaveebbelaar/bamaAutonomous loop that works through docs/STORIES.md one story at a time for a macOS app, building, snapshotting, comparing against reference screenshots, fixing, and committing, until a milestone is done. Use when the user says "keep going", "work through the backlog", "make it match the reference", or wants an unattended improvement loop.AlteleFără avertismente★ 1,6 K↓ —
- ophis-swaphashgraph-online/awesome-codex-pluginsUse when the user wants to swap, trade, buy, sell, or convert tokens onchain, get a best-execution swap quote, compare a swap against DEX aggregators, or read wallet balances, token prices, gas, or fee-rebate tiers. Drives Ophis, an intent-based DEX (a CoW Protocol deployment) that is MEV-protected, gasless for the trader, and keyless. Supports Ethereum, Optimism, Base, Arbitrum, Polygon, BNB, Gnosis, Unichain, Avalanche, Plasma, Ink, and Linea.DevOpsFără avertismente★ 1,5 K↓ —
- git-worktree-manageralirezarezvani/claude-skillsUse when running several branches or agents in parallel on one repo. Creates worktrees with isolated ports and env via worktree_manager.py and removes stale ones with worktree_cleanup.py.InginerieFără avertismente★ 29,3 K↓ —
- signup-flow-croalirezarezvani/claude-skillsUse when signup, registration or trial-start conversion is low or a signup flow is being designed. Finds the drop-off step with funnel_drop_analyzer.py and removes friction field by field.MarketingFără avertismente★ 29,3 K↓ —
- sno-mem-claudesno-ai/sno-stationUse Sno memory from Claude through four explicit commands.ProductivitateFără avertismente★ 1 K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivitateFără avertismente★ 1 K↓ —
- hf-cloud-sagemaker-production-defaultshuggingface/skillsCreate a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.OficialDevOpsFără avertismente★ 11,3 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- django-tddhashgraph-online/awesome-codex-pluginsDjango testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.TestareFără avertismente★ 1,5 K↓ —
- x-marketinghashgraph-online/awesome-codex-pluginsPlan, draft, audit, and publish posts and threads for X (Twitter). Use when the user wants to write a single tweet or an auto-numbered thread, build a long-form tweetstorm, remove AI tells from a draft, reverse-engineer the hook from a viral tweet, draft a reply or quote tweet, or plan a week of X content. Tweets and threads publish via the Publora API, which auto-splits long content into a numbered thread. User provides notes or a tweet URL, the skill drafts, the user approves, then it publishes.MarketingFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- minutes-debriefsilverstein/minutesPost-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- code-review-assistantalibaba/skill-upTriggered when the user submits code or requests a code review. Automatically analyzes code quality, identifies potential bugs, security vulnerabilities, and performance issues, and provides improvement suggestions. Trigger phrases include "take a look at this code", "review this", "is there a problem with this function".InginerieFără avertismente★ 1,4 K↓ —
- commit-craftNoualirezarezvani/claude-skillsTurn a mix of changes into clean, reviewable commits with good messages, blocking staged secrets and .env files. Use whenever the user says commit this, wants to split work into commits, write a commit message, or is about to push.InginerieFără avertismente★ 29,3 K↓ —
- minutes-mcp-recallsilverstein/minutesRoute meeting-recall questions to the right Minutes MCP tool.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
chatcut-video-editor
ChatCut-Inc/agent-plugin
De la autor
用 ChatCut 通过自然语言完成视频剪辑和素材生成,制作口播、Vlog、解说与产品介绍视频。支持精剪、字幕、转场、配乐和 MG 动画,保留可继续手动调整的多轨道时间线,并可导出成片。
Instalare
npx skills add ChatCut-Inc/agent-plugin --skill chatcut-video-editor -a claude-code
Se instalează în .claude/skills/chatcut-video-editor/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Fișiere (3)
- SKILL.md
- agents/openai.yaml
- references/macos-install.md