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.
9,277 skills from 267 repositories · updated 14 minutes ago
593 skills
- azure-deploymicrosoft/skillsExecute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.OfficialDevOpsNo warnings★ 3.1K↓ —
- skill-creatormicrosoft/skillsGuide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.OfficialDevOpsNo warnings★ 3.1K↓ —
- appinsights-instrumentationmicrosoft/skillsGuidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.OfficialDevOpsNo warnings★ 3.1K↓ —
- finetuningmicrosoft/skillsFine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).OfficialDevOpsNo warnings★ 3.1K↓ —
- azure-search-documents-pymicrosoft/skillsAzure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".OfficialDevOpsNo warnings★ 3.1K↓ —
- vercel-deployopenai/skillsDeploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".OfficialDevOpsNo warnings★ 28.2K↓ —Also in 1 other repo
- deploy-modelmicrosoft/skillsUnified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).OfficialDevOpsNo warnings★ 3.1K↓ —
- capacitymicrosoft/skillsDiscovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.OfficialDevOpsNo warnings★ 3.1K↓ —
- gh-fix-ciopenai/skillsUse when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.OfficialDevOpsNo warnings★ 28.2K↓ —Also in 1 other repo
- turnstile-spincloudflare/skillsSet up, repair, or migrate to Cloudflare Turnstile bot verification in an existing frontend and backend, including server-side Siteverify.OfficialDevOpsNo warnings★ 3.1K↓ —
- arize-instrumentationgithub/awesome-copilotAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.DevOpsReview first★ 40.3K↓ —
- eas-workflowsexpo/skillsHelps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.OfficialDevOpsNo warnings★ 3K↓ —
- dstack-presetsdstackai/dstackCreate and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Use together with the dstack skill, and only when the user explicitly asks to create a preset or manage existing presets, not for deploying or serving a model.DevOpsNo warnings★ 2.3K↓ —
- release-itwondelai/skillsBuild production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "deployment pipeline", "chaos engineering", "retry storm", "health checks", "my service keeps crashing", "prevent cascading failures", or "make it resilient". Also trigger when designing resilient microservices, planning zero-downtime deployments, or capacity-planning for peak load. Covers stability patterns, capacity planning, deploy/release decoupling, and observability. For data systems, see ddia-systems. For system architecture, see system-design.DevOpsNo warnings★ 2.5K↓ —Also in 2 other repos
- running-github-actions-efficientlykajisho5/ffmpeg-skillCut GitHub Actions minutes and wall-clock time without losing coverage — the OS billing multiplier (macOS 10x / Windows 2x / Linux 1x), trigger hygiene that stops push+pull_request double-firing, concurrency that cancels superseded runs, dependency caching keyed on lockfiles, matrix discipline, and auditing scheduled crons that bill 24/7. Use when CI is burning included minutes, when runs feel slow, when setting up a new repo's workflows, or when reviewing an existing workflow for waste.DevOpsNo warnings★ 2K↓ —
- azure-servicebus-pymicrosoft/skillsAzure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns. Triggers: "service bus", "ServiceBusClient", "queue", "topic", "subscription", "message broker".OfficialDevOpsNo warnings★ 3.1K↓ —
- vercela5c-ai/babysitterVercel deployment, edge functions, environment configuration, and preview deployments.DevOpsNo warnings★ 1.9K↓ —
- nextjsa5c-ai/babysitterNext.js specific patterns including App Router, React Server Components, Server Actions, streaming, caching, and Vercel deployment.DevOpsNo warnings★ 1.9K↓ —
- houdinia5c-ai/babysitterHoudini Engine skill for procedural assets and HDA deployment.DevOpsNo warnings★ 1.9K↓ —
- remixa5c-ai/babysitterRemix patterns including loaders, actions, nested routing, progressive enhancement, and deployment strategies.DevOpsNo warnings★ 1.9K↓ —
- yamla5c-ai/babysitterYAML configuration for CI/CD, Docker Compose, and Kubernetes.DevOpsNo warnings★ 1.9K↓ —
- fix-failing-pipelinesa5c-ai/babysitterThis skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging branch of the babysitter repo.DevOpsNo warnings★ 1.9K↓ —
- atlasa5c-ai/babysitterAtlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)DevOpsNo warnings★ 1.9K↓ —
- netlifya5c-ai/babysitterNetlify deployment, functions, forms, and edge handlers.DevOpsNo warnings★ 1.9K↓ —