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.
5.790 de skill-uri din 150 de depozite · actualizat acum 19 minute
622 de skill-uri
- dispatchsickn33/agentic-awesome-skillsDelegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessionsInginerieFără avertismente★ 48,2 K↓ —
- fp-asyncsickn33/agentic-awesome-skillsPractical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examplesInginerieFără avertismente★ 48,2 K↓ —
- ai-readygithub/awesome-copilotMake any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".InginerieFără avertismente★ 40,3 K↓ —
- fp-reactsickn33/agentic-awesome-skillsPractical patterns for using fp-ts with React - hooks, state, forms, data fetching. Works with React 18/19, Next.js 14/15.InginerieFără avertismente★ 48,2 K↓ —
- python-type-safetywshobson/agentsPython type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.InginerieFără avertismente★ 41,4 K↓ —
- fp-errorssickn33/agentic-awesome-skillsStop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable codeInginerieFără avertismente★ 48,2 K↓ —
- python-anti-patternswshobson/agentsUse this skill when reviewing Python code for common anti-patterns to avoid. Use as a checklist when reviewing code, before finalizing implementations, or when debugging issues that might stem from known bad practices.InginerieFără avertismente★ 41,4 K↓ —
- react-modernizationwshobson/agentsUpgrade React applications to latest versions, migrate from class components to hooks, and adopt concurrent features. Use when modernizing React codebases, migrating to React Hooks, or upgrading to latest React versions.InginerieFără avertismente★ 41,4 K↓ —
- zarr-pythonK-Dense-AI/scientific-agent-skillsStores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.InginerieFără avertismente★ 53,4 K↓ —
- githubsickn33/agentic-awesome-skillsUse the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.InginerieFără avertismente★ 48,2 K↓ —
- python-configurationwshobson/agentsPython configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.InginerieFără avertismente★ 41,4 K↓ —
- fastapi-templateswshobson/agentsCreate production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.InginerieFără avertismente★ 41,4 K↓ —
- rust-async-patternswshobson/agentsMaster Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.InginerieFără avertismente★ 41,4 K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.InginerieFără avertismente★ 48,2 K↓ —
- python-background-jobswshobson/agentsPython background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.InginerieFără avertismente★ 41,4 K↓ —
- python-performance-optimizationwshobson/agentsProfile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.InginerieFără avertismente★ 41,4 K↓ —
- refactorgithub/awesome-copilotSurgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.InginerieFără avertismente★ 40,3 K↓ —
- weather-fetchershanraisshan/claude-code-best-practiceInstructions for fetching current weather temperature data for Dubai, UAE from Open-Meteo APIInginerieFără avertismente★ 67,9 K↓ —
- multi-reviewer-patternswshobson/agentsCoordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.InginerieFără avertismente★ 41,4 K↓ —
- typescript-advanced-typeswshobson/agentsMaster TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.InginerieFără avertismente★ 41,4 K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.InginerieFără avertismente★ 47,8 K↓ —
- grpo-rlvr-trainingwshobson/agentsTrain reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.InginerieFără avertismente★ 41,4 K↓ —
- open-code-review-delegatealibaba/open-code-reviewDelegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.InginerieFără avertismente★ 47,8 K↓ —
- commitsickn33/agentic-awesome-skillsPrepare or create commits using Sentry-style message conventions when the repository requests them; inspect staged scope and honor its protected branch workflow.InginerieFără avertismente★ 48,2 K↓ —