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.
5.396 de skill-uri din 133 de depozite · actualizat acum 41 de minute
507 skill-uri
- saga-orchestrationwshobson/agentsImplement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where compensation steps never complete.InginerieFără avertismente★ 41,4 K↓ —
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.InginerieFără avertismente★ 48,2 K↓ —
- dittosickn33/agentic-awesome-skillsUse when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions.InginerieFără avertismente★ 48,2 K↓ —
- grounded-vaultwshobson/agentsUse when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code they describe. Teaches the raw/wiki/archive layout, per-claim provenance links, and git fingerprints for zero-token staleness checks.InginerieFără avertismente★ 41,4 K↓ —
- binary-analysis-patternswshobson/agentsMaster binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.InginerieFără avertismente★ 41,4 K↓ —
- yes-mdsickn33/agentic-awesome-skills6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.InginerieFără avertismente★ 48,2 K↓ —
- changelog-automationwshobson/agentsAutomate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.InginerieFără avertismente★ 41,4 K↓ —
- mmx-clisickn33/agentic-awesome-skillsUse mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.InginerieFără avertismente★ 48,2 K↓ —
- python-resource-managementwshobson/agentsPython resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.InginerieFără avertismente★ 41,4 K↓ —
- radare2sickn33/agentic-awesome-skillsDrive the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching (r2/rabin2/rasm2/radiff2) without a GUI.InginerieFără avertismente★ 48,2 K↓ —
- debugging-strategieswshobson/agentsMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.InginerieFără avertismente★ 41,4 K↓ —
- varlocksickn33/agentic-awesome-skillsSecure-by-default environment variable management for Claude Code sessions.InginerieFără avertismente★ 48,2 K↓ —
- anywritesickn33/agentic-awesome-skillsCompiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.InginerieFără avertismente★ 48,2 K↓ —
- blockrunsickn33/agentic-awesome-skillsBlockRun works with Claude Code and Google Antigravity.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↓ —
- dispatchsickn33/agentic-awesome-skillsDelegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessionsInginerieFără avertismente★ 48,2 K↓ —
- python-error-handlingwshobson/agentsPython error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.InginerieFără avertismente★ 41,4 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↓ —
- review-agent-setupwshobson/agentsConfigure human-in-the-loop gating for AI agent review actions in Claude Code. Use when setting up a project where an agent may post PR reviews, comments, merges, or edit CI configuration, and you want a cryptographically auditable approval trail with Cedar-enforced gates.InginerieFără avertismente★ 41,4 K↓ —
- sveltekitsickn33/agentic-awesome-skillsBuild full-stack web applications with SvelteKit — file-based routing, SSR, SSG, API routes, and form actions in one framework.InginerieFără avertismente★ 48,2 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↓ —
- langgraphsickn33/agentic-awesome-skillsExpert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.InginerieFără avertismente★ 48,2 K↓ —
- hf-memsickn33/agentic-awesome-skillsHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face HubInginerieFără avertismente★ 48,2 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↓ —