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.
29,651 skills from 1,220 repositories · updated 16 minutes ago
29,649 skills
- mcp-release-qagithub/awesome-copilotVerify an MCP server before release by exercising a real protocol session, comparing runtime capabilities with source and documentation, testing failure paths, and recording reproducible evidence. Use when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path.TestingNo warnings★ 40.4K↓ —
- microsoft-docsgithub/awesome-copilotQuery official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.DevOpsNo warnings★ 40.4K↓ —
- generate-imagegithub/awesome-copilotGenerate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.MediaNo warnings★ 40.4K↓ —
- gdpr-compliantgithub/awesome-copilotApply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.LegalNo warnings★ 40.4K↓ —
- dotnet-upgradegithub/awesome-copilotReady-to-use prompts for comprehensive .NET framework upgrade analysis and executionOtherNo warnings★ 40.4K↓ —
- copilot-spacesgithub/awesome-copilotUse Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.PlanningNo warnings★ 40.4K↓ —
- csharp-mstestgithub/awesome-copilotGet best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven testsTestingNo warnings★ 40.4K↓ —
- create-readmegithub/awesome-copilotCreate a README.md file for the projectOtherNo warnings★ 40.4K↓ —
- azure-pricinggithub/awesome-copilotFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.DevOpsNo warnings★ 40.4K↓ —
- arize-datasetgithub/awesome-copilotCreates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.TestingNo warnings★ 40.4K↓ —
- ssma-consolegithub/awesome-copilotUse when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migrationDataNo warnings★ 40.4K↓ —
- signal-writegithub/awesome-copilotEmit structured agent signals — hands-up, blocked, done, checkpoint, partnership. Signals are written as JSON to .signals/ for dashboard consumption and noted in the journal for persistence.WritingNo warnings★ 40.4K↓ —
- scoutqa-testgithub/awesome-copilotThis skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibility audits, e-commerce flows, and user flow validation using ScoutQA CLI. Use this skill proactively after implementing web application features to verify they work correctly.TestingNo warnings★ 40.4K↓ —
- phoenix-tracinggithub/awesome-copilotOpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.DevOpsNo warnings★ 40.4K↓ —
- pinecone-raggithub/awesome-copilotBuild production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.DataNo 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↓ —
- java-upgradegithub/awesome-copilotUpgrade a Java project to a newer JDK (11 to 17, 17 to 21, 21 to 25) and adopt the new language and library features. Detects the current Java version from the build files, then loads only the matching per-version guide. Use when the user asks to upgrade Java, modernize Java code, or adopt records, sealed classes, pattern matching, virtual threads or other new Java features. For automated end-to-end upgrades see the modernize-java plugin.EngineeringNo warnings★ 40.4K↓ —
- doublecheckgithub/awesome-copilotThree-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.EngineeringNo warnings★ 40.4K↓ —
- msstore-cligithub/awesome-copilotMicrosoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.EngineeringNo warnings★ 40.4K↓ —
- msgraph-sdkgithub/awesome-copilotIntegrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.EngineeringNo warnings★ 40.4K↓ —
- game-enginegithub/awesome-copilotExpert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.MediaNo warnings★ 40.4K↓ —
- google-cloud-solution-guided-gke-ai-migrationgoogle/skillsGuides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.OfficialDevOpsNo warnings★ 21.5K↓ —
- create-llmsgithub/awesome-copilotCreate an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/PlanningNo warnings★ 40.4K↓ —
- copilot-sdkgithub/awesome-copilotBuild agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.OtherNo warnings★ 40.4K↓ —
bigquery-troubleshooting
google/skills
OfficialDataUpdated 22 hours ago
From the author
Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).
Install
npx skills add google/skills --skill bigquery-troubleshooting -a claude-code
Installs to .claude/skills/bigquery-troubleshooting/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyUses the networkLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance100
Maintenance100
Licence100
Adoption67
Files (8)
- SKILL.md
- references/attribution.md
- references/cost_compute_capacity.md
- references/cost_compute_ondemand.md
- references/cost_storage.md
- references/performance_config_changed.md
- references/performance_resource_contention.md
- references/query_plan_execution_graph.md