Skills.

Give your AI a better way to work.

A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.

Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.

Category: Cloud & infra

2,361 results · page 31 of 79

  • agentsSkillCloud & infra

    Use when designing, deploying, or debugging a Butterbase Agent (declarative LLM/tool graph), registering an MCP server for tool use, or wiring access controls and rate limits. Agents are first-class app resources defined by a `graph_spec` and invoked over `/v1/<app_id>/agents/<name>/runs`.

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • deploy-frontendSkillCloud & infra

    Use when deploying a frontend (React, Next.js, or static HTML) to a live URL on Butterbase, or when troubleshooting deployment issues like MIME type errors or blank pages

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • function-devSkillCloud & infra

    Use when developing, deploying, or debugging Butterbase serverless functions, or when the user needs to add backend logic like webhooks, scheduled jobs, or custom API endpoints

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journeySkillCloud & infra

    Use when the user says "build an app", "let's start", "help me build", "I have an idea for", "ship it", or otherwise signals they want to go from idea to deployed Butterbase app. Orchestrates the full guided journey (idea → plan → preflight → build → deploy → optional hackathon submit) by reading do

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-deploySkillCloud & infra

    Use as the deploy-verification stage of the Butterbase journey, after journey-frontend (or after any build stage if there is no frontend). Smoke-tests the deployed app — hits the live URL, invokes any deployed functions, checks auth round-trip. Writes results to docs/butterbase/04-build-log.md. Bloc

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-durableSkillCloud & infra

    Use as the durable-objects build stage of the Butterbase journey. Implements the Durable section of 02-plan.md by delegating to durable-objects. Calls manage_durable_objects (deploy). Skipped if the plan has no per-key stateful actors (chat rooms, multiplayer, rate limiters).

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-frontendSkillCloud & infra

    Use as the frontend build stage of the Butterbase journey. Implements the Frontend section of 02-plan.md by delegating to deploy-frontend. Scaffolds (if needed) and deploys via create_frontend_deployment + manage_frontend (start_deployment). Sets VITE_API_URL and VITE_APP_ID env. Skipped if the plan

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-functionsSkillCloud & infra

    Use as the functions build stage of the Butterbase journey. Implements the Functions section of 02-plan.md by delegating to function-dev for each function. Calls deploy_function per function; smokes each with invoke_function. Skipped if the plan has no functions.

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-submitSkillCloud & infra

    Use as the final stage of the Butterbase journey when hackathon_mode is true and journey-deploy has passed. Resolves which hackathon to submit to (asking the user when multiple are open), walks every field in the hackathon's returned field_schema with the user one at a time, then calls prep_and_subm

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • journey-substrateSkillCloud & infra

    Use as the optional substrate-linking stage of the Butterbase journey, after deploy and before submit. Asks whether to connect the deployed app to the owner's substrate (so functions get ctx.substrate). Skipped by default in hackathon mode.

    Ready to connect★ 533

    github.com/butterbase-ai/butterbase-skills533 stars

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  • azure-patternsSkillCloud & infra

    Azure Functions, Cosmos DB modeling, Service Bus patterns, Bicep templates

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • canary-deploy-patternsSkillCloud & infra

    Traffic splitting, health checks, automated rollback, progressive delivery, and canary analysis for safe deployments.

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • ci-cd-pipelineSkillCloud & infra

    GitHub Actions workflow patterns, matrix builds, caching strategies, deployment pipelines, artifact management, and rollback procedures.

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • concurrency-securitySkillCloud & infra

    TOCTOU prevention, distributed locking, idempotency keys, race condition detection for Node.js and serverless environments.

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • docker-opsSkillCloud & infra

    Dockerfile best practices, multi-stage builds, docker-compose, container networking, volume management, and image optimization.

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • kubernetes-patternsSkillCloud & infra

    Pod design patterns, sidecar containers, init containers, config management, rolling updates, and resource limits.

    Ready to connect★ 531

    github.com/vibeeval/vibecosystem531 stars

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  • hosting-artifactsSkillCloud & infra

    Publish a demo video, screenshot, contact sheet, or log bundle to the shared `agent-artifacts` R2 bucket and link it from a PR body, issue, or Linear ticket. Use when an artifact has to leave the machine so a reviewer on GitHub can see it — a `.webm` too large for git, a still you would otherwise co

    Ready to connect★ 520

    github.com/dxos/dxos518 stars

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  • moonSkillCloud & infra

    This skill should be used when the user asks to "configure moon", "set up moonrepo", "create moon tasks", "run moon commands", "configure moon workspace", "add moon project", "moon ci setup", "moon docker", "moon query", "migrate to moon v2", or mentions moon.yml, .moon/workspace.yml, .moon/toolchai

    Ready to connect★ 520

    github.com/dxos/dxos518 stars

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  • submit-prSkillCloud & infra

    Create and submit a pull request from the current branch — sync with main, format/lint/test, commit all changes, push, monitor the Check workflow, and surface the Composer PR deploy URL. Use when the user asks to open, submit, or raise a PR, including stacking a PR on another open PR (`gh stack`). T

    Ready to connect★ 520

    github.com/dxos/dxos518 stars

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  • building-ci-pipelinesSkillCloud & infra

    Constructs secure, efficient CI/CD pipelines with supply chain security (SLSA), monorepo optimization, caching strategies, and parallelization patterns for GitHub Actions, GitLab CI, and Argo Workflows. Use when setting up automated testing, building, or deployment workflows.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • deploying-applicationsSkillCloud & infra

    Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • evaluating-llmsSkillCloud & infra

    Evaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • implementing-gitopsSkillCloud & infra

    Implement GitOps continuous delivery for Kubernetes using ArgoCD or Flux. Use for automated deployments with Git as single source of truth, pull-based delivery, drift detection, multi-cluster management, and progressive rollouts.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • implementing-service-meshSkillCloud & infra

    Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security,

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • load-balancing-patternsSkillCloud & infra

    When distributing traffic across multiple servers or regions, use this skill to select and configure the appropriate load balancing solution (L4/L7, cloud-managed, self-managed, or Kubernetes ingress) with proper health checks and session management.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • managing-configurationSkillCloud & infra

    Guide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotenc

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • managing-dnsSkillCloud & infra

    Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DN

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • managing-vulnerabilitiesSkillCloud & infra

    Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • model-servingSkillCloud & infra

    LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and str

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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  • optimizing-costsSkillCloud & infra

    Optimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.

    Ready to connect★ 518

    github.com/ancoleman/ai-design-components518 stars

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What is a skill?

A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.

54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.

Install one and every AI you use gets it

Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.

Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.

See how to connect your AI