Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
30,516 skills from 1,302 repositories · updated 6 minutes ago
30,514 skills
- 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".EngineeringNo warnings★ 40.4K↓ —
- phoenix-cligithub/awesome-copilotDebug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.EngineeringNo warnings★ 40.4K↓ —
- unshipsickn33/agentic-awesome-skillsCompare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.DesignNo warnings★ 48.4K↓ —Also in 1 other repo
- nature-social-scienceYuan1z0825/nature-skills社会科学及相邻学科学术写作与选题论证工作台,覆盖选题构思、文献梳理、论证组织、学术表达四大要素。Use for 找论文题目/研究问题、把兴趣或宽泛主题变成可讨论的研究方向、文献综述与领域版图、区分"研究少"与真正未决的知识问题、设计证据路线与主张边界、新颖性审计与"审稿人2"式攻击、博士/论文可行性评估、导师沟通话术、或检查论文中的过度断言与概念混用。也适用于开题报告、研究计划书、学位论文的选题阶段与论证自检。ScienceNo warnings★ 50.4K↓ —
- signed-audit-trails-recipewshobson/agentsStep-by-step cookbook for setting up cryptographically signed audit trails on Claude Code tool calls. Use when explaining, evaluating, or demonstrating the pattern before committing to the protect-mcp runtime hooks. Covers Cedar policy, Ed25519 receipts, offline verification, tamper detection, CI/CD integration, and SLSA composition.DevOpsNo warnings★ 41.6K↓ —
- prometheus-configurationwshobson/agentsSet up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.DevOpsNo warnings★ 41.6K↓ —
- update-specificationgithub/awesome-copilotUpdate an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.PlanningNo warnings★ 40.4K↓ —
- java-prosickn33/agentic-awesome-skillsMaster Java 21+ with modern features like virtual threads, pattern matching, and Spring Boot 3.x. Expert in the latest Java ecosystem including GraalVM, Project Loom, and cloud-native patterns.OtherNo warnings★ 48.4K↓ —
- ckw-designsickn33/agentic-awesome-skillsFrontend design entry point: direction, design system, visual philosophy. Use whenever building or touching the look of any web UI (components, pages, dashboards, React/Vue/HTML-CSS) or when the user says "make this look better", "fix the spacing/layout", or mentions styling, color, type, or polish.DesignNo warnings★ 48.4K↓ —
- ask-mattsickn33/agentic-awesome-skillsAsk which skill or flow fits your situation. A router over the user-invoked skills in this repo.OtherNo warnings★ 48.4K↓ —Also in 1 other repo
- lexsickn33/agentic-awesome-skillsCentralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.LegalNo warnings★ 48.4K↓ —Also in 1 other repo
- falsifysickn33/agentic-awesome-skillsThe scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.ScienceNo warnings★ 48.4K↓ —Also in 1 other repo
- 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.PlanningNo warnings★ 41.6K↓ —
- odwsickn33/agentic-awesome-skillsDynamic multi-agent workflows — plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when the user asks for a "workflow", says "ultracode", or hands you a task spanning many files/items that benefits from parallel agents.PlanningNo warnings★ 48.4K↓ —
- google-cloud-solution-agentic-ai-bidirectional-streaminggoogle/skillsGuides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads. Don't use for simple text-based chat applications or workloads without real-time streaming requirements.OfficialDesignNo warnings★ 21.5K↓ —
- google-cloud-solution-agentic-ai-data-science-workflowgoogle/skillsDesigns a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.OfficialDataNo warnings★ 21.5K↓ —
- 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.DesignNo warnings★ 88.5K↓ —
- google-cloud-solution-build-deploy-agentsgoogle/skillsDesigns, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context.OfficialDevOpsNo warnings★ 21.5K↓ —
- cloud-monitoring-list-time-series-requestgoogle/skillsGenerates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection.OfficialPlanningNo warnings★ 21.5K↓ —
- cloud-logging-cross-project-configurationgoogle/skillsConfigure and troubleshoot Google Cloud cross-project centralized logging and read-time aggregation. Use when: - Setting up log routing from multiple projects/folders/organizations to a central log bucket. - Creating cross-project log sinks and configuring central log buckets. - Troubleshooting cross-project routing. Don't use for single-project basic configurations.OfficialOtherNo warnings★ 21.5K↓ —
- google-cloud-waf-operational-excellencegoogle/skillsGenerates operational guidance for CI/CD deployment pipelines, observability, monitoring, logging, and incident management on Google Cloud based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use when the user asks about operations-related topics like capacity management, change management, incident and problem management, configuration management, deployment automation using infrastructure as code (IaC), or operational health checks for Google Cloud workloads.OfficialDevOpsNo warnings★ 21.5K↓ —
- gke-workload-scalinggoogle/skillsManages scaling for GKE workloads using HPA and VPA. Use when configuring Horizontal Pod Autoscaler (HPA), configuring Vertical Pod Autoscaler (VPA), or applying best practices for GKE workload autoscaling. Do not use for cluster-level autoscaling (Cluster Autoscaler), static cluster sizing, or configuring node-level machine styles directly.OfficialOtherNo warnings★ 21.5K↓ —
- understand-onboardEgonex-AI/Understand-AnythingUse when you need to generate an onboarding guide for new team members joining a projectOtherNo warnings★ 88K↓ —
- assuredworkloads-frameworks-authorgoogle/skillsAuthors custom cloud controls and customized frameworks for Assured Workloads when built-in resources cannot satisfy core requirements. Use when creating or synthesizing custom data boundary resources. Don't use for browsing or mapping existing built-in frameworks (use assuredworkloads-frameworks-navigator instead).OfficialPlanningNo warnings★ 21.5K↓ —
nodejs-backend-patterns
wshobson/agents
From the author
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
Install
npx skills add wshobson/agents --skill nodejs-backend-patterns -a claude-code
Installs to .claude/skills/nodejs-backend-patterns/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 95
Files (3)
- SKILL.md
- references/advanced-patterns.md
- references/details.md