Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Comprehensive cost tracking and optimization for production Claude deployments. Covers Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selection, context editing, effort parameter), and cost prediction. Use when tracking costs, optimizing token usage, measuring efficiency, calculating ROI, reducing production expenses, or implementing cost-effective Claude integrations.
Check and configure feature flag infrastructure using OpenFeature with pluggable providers. Use when adding feature flag infrastructure to a new project, setting up the OpenFeature SDK with a provider (GOFF, flagd, LaunchDarkly), auditing existing feature flag configuration, configuring relay proxy infrastructure, or adding feature flag test helpers. Natural triggers: "set up feature flags", "add openfeature", "configure launchdarkly".
CoPaw operations assistant. Use when the user mentions copaw operations, unresponsive services, disconnected channels, MCP failures, model call failures, cron not running, Docker deployment, reload, restart, or reset recovery. Prioritize status checks and fault triage; for high-impact actions such as restart, reload, reset, or configuration changes, explain to the user before executing.
AWS Cloud Operations assistant for multi-account organizations. Inspect and manage AWS accounts across an entire AWS Organization — health events, end-of-support analysis, account coverage, and cross-account setup. Use when the user mentions AWS health events, RDS, EKS, or ElastiCache end-of-support, security posture review or security scorecard, account coverage probe, multi-account setup, or types /corgiro <mode>. Each mode is documented in modes/<name>/MODE.md.
Comprehensive guide for Dependency-Track - Software Composition Analysis (SCA) and SBOM management platform. USE WHEN deploying Dependency-Track, integrating with CI/CD pipelines, configuring vulnerability scanning, managing SBOMs, setting up policy compliance, troubleshooting installation issues, or working with the REST API.
Maintain mcp_flutter releases, CHANGELOG, version pins, docs, and CI. Use when cutting a release, editing CHANGELOG.md, bumping VERSION, running release-please, sync-skills, check-contracts, or updating install/docs for npx skills and flutter-mcp-toolkit init.
Use fnos-cli to authorize and manage files, photos, apps, Docker, downloads, logs, monitoring, network, storage, users and Baidu Netdisk on fnOS devices. Use when the user mentions fnOS, Feiniu OS or a mainland China device; not for international devices or the Media API.
GitOps deployment workflows with ArgoCD and Flux. Use this skill whenever the user mentions GitOps, ArgoCD, Flux, Flagger, Argo Rollouts, or continuous deployment to Kubernetes. Triggers include setting up ArgoCD or Flux from scratch, designing Git repository structures (monorepo vs polyrepo, app-of-apps), deploying to multiple clusters with ApplicationSets, managing secrets in Git (SOPS, Sealed Secrets, External Secrets Operator), implementing canary or blue-green deployments, troubleshooting sync or reconciliation issues, working with OCI artifacts, and comparing ArgoCD vs Flux.
Diagnose and fix failing GitHub Checks on PR work by default: fetch evidence, write ephemeral ci-fails report, apply fixes, verify locally. Run automatically — do not wait for user to ask. Never merge without authorize merge. Companion to /heyeddi fails.
Publish a single-page HTML document to the public web instantly via ht-ml.app, an agent-first hosting API with no accounts or signup. Use this skill whenever the user wants to share, host, deploy, publish, or get a public link/URL for a web page, HTML file, prototype, demo, diagram, slide deck, status report, code review, or landing page — even if they don't mention ht-ml.app by name, and even when they just have something to show someone but no place to put it. Covers creating a site, updating its HTML, uploading referenced assets (images/video), optional password protection, and 20 ready-made page templates for when the user has no HTML of their own.
Manage CloudRobo model training tasks and simulation reinforcement learning (SimRL) tasks — create pretrain (TRAIN_FROM_SCRATCH) and finetune (MODEL_TUNING) tasks with FFT/SFT/LORA/QLORA/DEEPSPEED methods; manage the full task lifecycle (create/read/update/delete/stop/restart/resume/draft); save and resubmit draft configs; count tasks by status; monitor execution stages, resource usage, training logs, signed URLs, and events; diagnose failures. SimRL tasks (simulation reinforcement learning) are managed via the same CLI with a --sim-rl flag and cover the same CRUD + lifecycle + monitoring surface (except resume, which is train-only). Triggers include: model training, fine-tuning, pretraining, training task, training stages, resource usage, training logs, training events, draft task, restart training, stop training, resume training, task stats, simulation reinforcement learning, SimRL, 仿真强化学习, 模型训练, 模型微调, 训练任务, 训练阶段, 资源使用, 训练日志, 训练事件, 草稿任务, 重启训练, 克隆训练, 停止训练, 续训训练, 任务统计.
Configures and operates the Kubernetes Pod Security Admission (PSA) controller that enforces Pod Security Standards: namespace enforce/audit/warn labels, cluster-wide defaults via AdmissionConfiguration, exemptions for usernames, runtime classes and namespaces, version pinning, and troubleshooting pods the controller rejected. Use when wiring PSA up on a cluster, setting cluster-wide default enforcement, exempting system namespaces, debugging why a pod was rejected or why enforcement is not firing, or reading PSA audit and warning output. Keywords: Pod Security Admission, PSA, admission controller, AdmissionConfiguration, pod-security.kubernetes.io labels, enforce audit warn, exemptions, kube-apiserver. Do not use for choosing which security profile a workload needs - use implementing-kubernetes-pod-security-standards.
Transform infrastructure documentation, runbooks, and operational knowledge into reusable Claude Code skills. Convert Proxmox configs, Docker setups, Kubernetes deployments, and cloud infrastructure patterns into structured, actionable skills.
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
Run this repository's local CI parity commands and `pnpm run ci:local` jobs. Use when validating a change against the same job shapes used in GitHub Actions, choosing the smallest local CI job for a package, workflow, E2E, Metro, devtools, bundle-size, or build-and-test change.
Generate interactive HTML mockups from a description, iterate on them, and deploy to GitHub Pages or Vercel for sharing. Use this skill when the user wants to create a mockup, prototype, UI exploration, or design comparison, or when they want to deploy or share one.
Build an app destined for openapps.xyz (an oApp): the zero-secrets discipline, why every capability must be steward-owned ("if Bounded can't do it, you can't do it"), how to call out unsupported capabilities honestly, the x402 relay fallback for services Bounded doesn't natively provide, how to request a capability Bounded lacks, and the lifecycle: private bounded.page development, completed Open publication at the exact workload app-id host, and explicit Commence for the oApps slug, listing, token, and Gauntlet. Use whenever a user says the app will launch on openapps.xyz (oapps.fun redirects there), become an oApp, be community-owned / token-governed, or "outlive its creator". Part of the Bounded skill family; the mechanics live in bounded-backend / bounded-onchain.
Use available Polygres MCP tools or the Polygres CLI to authenticate, operate standard or synchronized projects, import data, apply migrations, configure retrieval, manage Runtime keys and durable operations, and check readiness. Use the CLI for explicit command-line work and as the documented fallback for operations outside the MCP catalog.
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
ArgoCD CLI interaction for cafehyna-hub cluster. USE WHEN managing ArgoCD applications OR applicationsets OR syncing OR deploying OR checking app status OR managing clusters/repos/projects via argocd CLI at argocd.cafehyna.com.br or localhost:8080.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.