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.
14.555 de skill-uri din 421 de depozite · actualizat acum 6 ore
14.555 de skill-uri
- review-and-refactorgithub/awesome-copilotReview and refactor code in your project according to defined instructionsInginerieFără avertismente★ 40,3 K↓ —
- team-communication-protocolswshobson/agentsStructured messaging protocols for agent team communication including message type selection, plan approval, shutdown procedures, and anti-patterns to avoid. Use this skill when establishing communication norms for a newly spawned team, when deciding whether to send a direct message or a broadcast, when a team-lead needs to review and approve an implementer's plan before work begins, when orchestrating a graceful team shutdown after all tasks are complete, or when debugging why teammates are not coordinating correctly at integration points.PlanificareFără avertismente★ 41,6 K↓ —
- web-design-reviewergithub/awesome-copilotThis skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.DesignFără avertismente★ 40,3 K↓ —
- data-quality-frameworkswshobson/agentsImplement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.TestareFără avertismente★ 41,6 K↓ —
- monorepo-managementwshobson/agentsMaster monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.AlteleFără avertismente★ 41,6 K↓ —
- godot-gdscript-patternswshobson/agentsMaster Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.AlteleFără avertismente★ 41,6 K↓ —
- protocol-reverse-engineeringwshobson/agentsMaster network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.InginerieFără avertismente★ 41,6 K↓ —
- async-python-patternswshobson/agentsMaster Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.InginerieFără avertismente★ 41,6 K↓ —
- harness-engineeringgithub/awesome-copilotAdopt repository-level harness engineering for coding agents. Use when a user wants to prevent repeated AI coding-agent mistakes by turning failures into durable instructions, drift checks, regression tests, failure memory, and adoption reports tailored to the target repository.TestareFără avertismente★ 40,3 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★ 41,6 K↓ —
- dataladK-Dense-AI/scientific-agent-skillsRetrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.ȘtiințăFără avertismente★ 54,1 K↓ —
- shellcheck-configurationwshobson/agentsMaster ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.DevOpsFără avertismente★ 41,6 K↓ —
- architecture-patternswshobson/agentsImplement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.PlanificareFără avertismente★ 41,6 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★ 41,6 K↓ —
- vscode-ext-commandsgithub/awesome-copilotGuidelines for contributing commands in VS Code extensions. Indicates naming convention, visibility, localization and other relevant attributes, following VS Code extension development guidelines, libraries and good practicesInginerieFără avertismente★ 40,3 K↓ —
- cosmosdb-datamodelinggithub/awesome-copilotStep-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" fileDevOpsFără avertismente★ 40,3 K↓ —
- conventional-commitgithub/awesome-copilotPrompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.InginerieFără avertismente★ 40,3 K↓ —
- python-design-patternswshobson/agentsPython design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.DesignFără avertismente★ 41,6 K↓ —
- simplify-codebasett-a1i/archifySimplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning.DesignFără avertismente★ 88,1 K↓ —
- deployment-pipeline-designwshobson/agentsDesign multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.DevOpsFără avertismente★ 41,6 K↓ —
- social-evidence-researchwshobson/agentsResearch public discussion on social platforms and keep every report claim tied to the source material that supports it. Use when researching or comparing how a product, event, or topic is discussed across social platforms or supplied social exports, when turning search results into a cited report, or when auditing a social research report for discovery-only evidence, double-counted reposts, misattributed comments, claims that go beyond the sample, or hidden access gaps.ȘtiințăFără avertismente★ 41,6 K↓ —
- nx-workspace-patternswshobson/agentsConfigure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands.AlteleFără avertismente★ 41,6 K↓ —
- mkdocs-translationsgithub/awesome-copilotGenerate a language translation for a mkdocs documentation stack.AlteleFără avertismente★ 40,3 K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.InginerieFără avertismente★ 48,4 K↓ —