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.
28.750 de skill-uri din 1.176 de depozite · actualizat acum 13 minute
28.748 de skill-uri
- 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↓ —
- 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★ 41,6 K↓ —
- embedding-strategieswshobson/agentsSelect 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.PlanificareFără avertismente★ 41,6 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★ 41,6 K↓ —
- pptx-slide-specificationwshobson/agentsUse when authoring or repairing a coordinate-explicit JSON specification for an editable PPTX deck.DocumenteFără avertismente★ 41,6 K↓ —
- macos-golden-gate-designgithub/awesome-copilotDesign, implement, review, or refactor native macOS 27 Golden Gate interfaces in SwiftUI or AppKit. Use when a Mac app must match Apple's current macOS 27 UI kit and restrained Liquid Glass language: integrated windows, full-height sidebars, native toolbars, flat lists, tables, and forms, clear pane boundaries, accessible materials, and removal of unnecessary nested cards, framed panels, or glassmorphism. Also use for Figma macOS 27 design-to-code work and audits of interfaces that feel too boxed.DesignFără avertismente★ 40,4 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↓ —
- gtm-operating-cadencegithub/awesome-copilotDesign meeting rhythms, metric reporting, quarterly planning, and decision-making velocity for scaling companies. Use when decisions are slow, planning is broken, the company is growing but alignment is worse, or leadership meetings consume all time without producing decisions.DesignFără avertismente★ 40,4 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↓ —
- power-platform-architectgithub/awesome-copilotUse this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.PlanificareFără avertismente★ 40,4 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★ 41,6 K↓ —
- team-composition-analysiswshobson/agentsDesign optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones.DesignFără avertismente★ 41,6 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★ 41,6 K↓ —
- offerssickn33/agentic-awesome-skillsWhen the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.DesignFără avertismente★ 48,4 K↓ —
- microservices-patternswshobson/agentsDesign microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.DesignFără avertismente★ 41,6 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↓ —
- react-state-managementwshobson/agentsMaster modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.InginerieFără avertismente★ 41,6 K↓ —
- memory-safety-patternswshobson/agentsImplement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.ProductivitateFără avertismente★ 41,6 K↓ —
- agentic-workflowsgithub/awesome-copilotRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.DesignFără avertismente★ 40,4 K↓ —
- langchain-architecturewshobson/agentsDesign 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.PlanificareFără avertismente★ 41,6 K↓ —
- arize-prompt-optimizationgithub/awesome-copilotOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.InginerieFără avertismente★ 40,4 K↓ —
- python-testing-patternswshobson/agentsImplement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.TestareFără avertismente★ 41,6 K↓ —
cosmosdb-datamodeling
github/awesome-copilot
DevOpsActualizat acum 19 ore
De la autor
Step-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" file
Instalare
npx skills add github/awesome-copilot --skill cosmosdb-datamodeling -a claude-code
Se instalează în .claude/skills/cosmosdb-datamodeling/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție71
Fișiere (1)
- SKILL.md