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.
45,604 skills from 2,205 repositories · updated 8 hours ago
45,602 skills
- premium-frontend-uigithub/awesome-copilotA comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.DesignNo warnings★ 40.4K↓ —
- gke-manifest-generationgoogle/skillsGenerates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).OfficialSecurityNo warnings★ 21.6K↓ —
- squirrelsickn33/agentic-awesome-skillsFull-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.TestingNo warnings★ 48.5K↓ —
- sponsor-findergithub/awesome-copilotFind which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").EngineeringNo warnings★ 40.4K↓ —
- rhino3d-scriptsgithub/awesome-copilotAuthoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling tasks; build command macros; manipulate Rhino geometry, layers, blocks, or document objects; pick objects from the viewport; control redraw and undo; or load and run scripts from the Rhino Script Editor. Covers `rhinoscriptsyntax`, `scriptcontext`, the `Rhino.*` RhinoCommon namespaces (`Rhino.Geometry`, `Rhino.DocObjects`, `Rhino.Input`, `Rhino.UI`, `Rhino.Display`, `Rhino.FileIO`), and the Rhino 8 unified Script Editor.DesignNo warnings★ 40.4K↓ —
- bigquery-troubleshootinggoogle/skillsProvides 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).OfficialDataNo warnings★ 21.6K↓ —
- security-reviewgithub/awesome-copilotAI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.SecurityNo warnings★ 40.4K↓ —
- nature-dataYuan1z0825/nature-skillsDraft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.PlanningNo warnings★ 50.5K↓ —
- 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" fileDevOpsNo warnings★ 40.4K↓ —
- taaskysickn33/agentic-awesome-skillsNegotiate terms with another person or their agent through the hosted Taasky MCP server: meeting times, prices, dates. The human confirms every accept, reject or withdraw.OtherNo warnings★ 48.5K↓ —
- csharp-docsgithub/awesome-copilotEnsure that C# types are documented with XML comments and follow best practices for documentation.OtherNo warnings★ 40.4K↓ —
- qdrant-search-qualitygithub/awesome-copilotDiagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.MarketingNo warnings★ 40.4K↓ —
- arize-evaluatorgithub/awesome-copilotHandles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.ProductivityNo warnings★ 40.4K↓ —
- gen-specs-as-issuesgithub/awesome-copilotThis workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.PlanningNo warnings★ 40.4K↓ —
- ai-team-orchestrationgithub/awesome-copilotBootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.TestingNo warnings★ 40.4K↓ —
- bigquery-bigframesgoogle/skillsGenerates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.OfficialDataNo warnings★ 21.6K↓ —
- cloud-build-basicsgoogle/skillsTeaches the fundamentals of Cloud Build on Google Cloud. Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures.OfficialPlanningNo warnings★ 21.6K↓ —
- 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↓ —
- gke-observabilitygoogle/skillsConfigures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection, and to troubleshoot Managed Service for Prometheus (GMP) issues such as missing metrics, unhealthy scrape targets, PodMonitoring misconfiguration, rule/alert evaluation failures, and monitoring permission errors. Don't use to configure local application logging frameworks or external APMs outside GKE.OfficialDevOpsNo warnings★ 21.6K↓ —
- gke-multitenancygoogle/skillsPlans and configures multi-tenancy on GKE. Covers namespace isolation, RBAC planning for teams, resource quotas, LimitRanges, network isolation, and cost allocation. Use when designing GKE multi-tenancy, configuring GKE namespaces, setting up resource quotas, or isolating GKE teams. Don't use for single-tenant cluster configuration or general deployment instructions (use gke-basics or gke-app-onboarding instead).OfficialDevOpsNo warnings★ 21.6K↓ —
- ima-sdk-client-sidegoogle/skillsSupports Interactive Media Ads (IMA) SDK. Use this skill for client-side ad insertion when you are requesting video ads for websites, apps, TVs or other platforms using VAST or VMAP. Do not use for Dynamic Ad Insertion (DAI), SSAI, or SGAI.OfficialMediaNo warnings★ 21.6K↓ —
- daily-prepgithub/awesome-copilotPrepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.ProductivityNo warnings★ 40.4K↓ —
- gke-node-notreadygoogle/skillsDiagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't use for pod-level application failures (use gke-workload-troubleshooting), autoscaler scale-up/scale-down decisions (use gke-cluster-autoscaler), or non-GKE compute.OfficialOtherNo warnings★ 21.6K↓ —
- csharp-nunitgithub/awesome-copilotGet best practices for NUnit unit testing, including data-driven testsTestingNo warnings★ 40.4K↓ —
fabric-lakehouse
github/awesome-copilot
EngineeringUpdated 2 days ago
From the author
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
Install
npx skills add github/awesome-copilot --skill fabric-lakehouse -a claude-code
Installs to .claude/skills/fabric-lakehouse/ · 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 onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (3)
- SKILL.md
- references/getdata.md
- references/pyspark.md