Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Test environment provisioning, infrastructure as code for testing, Docker/Kubernetes for test environments, service virtualization, and cost optimization. Use when managing test infrastructure, ensuring environment parity, or optimizing testing costs.
Use when providing DDEV URLs, accessing TYPO3 backend in browser, performing any ddev command (e.g. start, stop, restart, describe, exec), setting up DDEV for TYPO3 extension development, or testing across multiple TYPO3 versions. Triggers on: ddev URLs, backend URLs, local development, docker environment, PHP version management, multi-version testing.
Select, integrate, and operate multi-model video-generation gateways — hosted inference aggregators such as fal.ai, Replicate, and WaveSpeed that expose many third-party video (and video-adjacent audio) models behind one account, one API surface, and one bill. Use when deciding whether to route video generation through a gateway versus a direct model-provider API; when comparing gateways on catalog, async/queue job design, webhooks, pricing, schema discovery, and version pinning; and when operating gateway workloads in production — spend controls, retries, cross-gateway failover, content-safety differences, data retention, and commercial-rights passthrough of the underlying model. Not for direct model-provider APIs, local/self-hosted inference, model training/fine-tuning, or image-only gateway use.
Alibaba Cloud EMAS APM (mobile Application Performance Monitoring) issue troubleshooting skill. Covers the 4 read-only OpenAPIs exposed by the `aliyun emas-appmonitor` plugin: `get-issues` / `get-issue` / `get-errors` / `get-error`. Capabilities: Top-N aggregation, sample stack drill-down and dimension breakdowns for 6 issue types (crash / anr / lag / custom / memory_leak / memory_alloc), combined with the user's source code (Java / Kotlin / Objective-C / Swift / ArkTS / Dart / C# / JS) to produce root cause analysis and fix suggestions. Client coverage: native Android / iOS / HarmonyOS, Flutter, Unity (bundled to android / iphoneos / harmony; H5 is out of scope). Triggers: analyze app crash, troubleshoot ANR, APM crash investigation, list top issues, "what is this digestHash", iOS ANR Top 5, Android memory leak analysis, Flutter custom exception stacks, pull lag samples, emas appmonitor usage, sort issues by error rate, map stack to source, appKey problem, EMAS APM issue analysis, analyze APM issues.
Alibaba Cloud PolarDB-X Distributed Database AI Assistant. Use for PolarDB-X cluster management, topology inspection, performance diagnostics, SQL optimization, data distribution analysis, elastic scaling diagnostics, connection/session analysis, security audit, backup/restore, parameter tuning, and other O&M operations. Triggers: "PolarDB-X", "distributed database", "pxc-", "DN/CN nodes", "data sharding", "PolarDB-X diagnostics", "PolarDB-X performance", "PolarDB-X slow SQL", "YaoChi Agent", "PolarDB-X topology", "PolarDB-X backup", "PolarDB-X security audit", "PolarDB-X scaling"
Brings Azure Monitor, Application Insights, and Log Analytics telemetry into Fabric as Eventhouse external delta tables and correlates it with business data. Use to onboard observability data, judge whether latency or availability affected revenue, or build a Real-Time dashboard and Operations Agent over it.
Use when launching OCI compute instances, troubleshooting out-of-capacity or boot failures, optimizing compute costs, or handling instance lifecycle. Covers shape selection, capacity planning, service limits, and production incident resolution.
Docker, Kubernetes, and AWS ECS/Fargate patterns. Triggers on: Dockerfile, docker-compose, kubernetes, k8s, helm, pod, deployment, service, ingress, container, image, ecs, fargate, task definition, ecs service, awsvpc, FARGATE_SPOT, ALB, ecs vs kubernetes.
Manages Fabric deployment pipelines for ALM promotion across dev, test, and prod stages, including stage creation, workspace assignment, selective forward or backward deploys, operation polling, stage role assignments, and the pipeline and workspace permissions each action requires. For Git sync use git-integration-operations-cli.
Docker entry point — provides comprehensive guidance for Docker concepts, architecture, and basic operations. Covers what Docker is, container vs VM comparison, Docker architecture (Client-Server, daemon, registry), installation guidance for Linux/Mac/Windows, and first-container walkthrough. Includes Docker object model (Image/Container/Registry/Engine), CLI basics, and the Docker ecosystem overview. Use when the user asks about Docker basics, needs to understand Docker concepts, is new to Docker, or wants containerization fundamentals. 使用场景：Docker 入门、什么是 Docker、容器概念、Docker vs VM、Docker 安装、docker 基础命令、container basics、Docker 架构。
Use when configuring backups, restoring sites, encrypting backup files, scheduling automated backups, or planning disaster recovery. Prevents data loss from missing backups, failed restores, and unencrypted sensitive data. Covers bench backup, bench restore, backup encryption, S3/remote storage, scheduled backups, disaster recovery procedures. Keywords: backup, restore, encryption, S3, scheduled backup, disaster recovery, bench backup, bench restore, how to backup, restore database, backup failed, data recovery, automated backup.
Manage GitLab CI/CD runners — list, assign, unassign, inspect recent jobs and managers, pause/unpause via update, and delete runners at project, group, or instance level. Use when viewing runner status, assigning runners to projects, checking what jobs a runner handled, seeing manager processes, temporarily pausing a runner, or removing a decommissioned runner. Triggers on runner, glab runner, list runners, assign runner, unassign runner, runner jobs, runner managers, pause runner, unpause runner, delete runner, CI runner.
ADF + Azure ML and analytics integrations. PROACTIVELY activate for: (1) Azure ML batch endpoints invoked from ADF, (2) Azure OpenAI Batch API pipeline patterns, (3) ADF ML scoring orchestration, (4) SQL to Storage archival pipelines, (5) AI Services integration via REST connector, (6) Databricks notebook execution from ADF, (7) Data Flow feature engineering, (8) Synapse / Fabric integration from ADF, (9) Cognitive Search indexer triggers, (10) Power BI dataset refresh via REST. Provides: REST connector recipes, Databricks linked service setup, Data Flow templates, and end-to-end ML scoring pipelines.
Alibaba Cloud ECS Patch Management Skill. Use for scanning and installing OS patches on ECS instances via OOS (Operation Orchestration Service). Triggers: "patch management", "scan patches", "install patches", "OS update", "security patches", "ACS-ECS-BulkyApplyPatchBaseline", "oos patch", "系统补丁扫描", "系统补丁安装".
Use when the user wants Terraform HCL for Alibaba Cloud (Alicloud) infrastructure — new project or extending an existing one. Covers VPC, ECS, ApsaraDB RDS, OSS, SLB / ALB, Function Compute v3, ACK, and any other `alicloud_*` resource via the provider's own documentation fetched at generation time. For AWS → Alicloud migration or importing existing resources into state, use a different skill. Triggers: "write terraform for alicloud", "generate alibaba cloud terraform", "alicloud HCL", "create alibaba cloud vpc/ecs/rds", "生成阿里云 Terraform", "阿里云 HCL", "用 Terraform 部署阿里云", "alicloud provider", "aliyun/alicloud", "terraform-provider-alicloud".
Use when scaffolding a new Frappe app, configuring app settings, building assets, running tests, deploying, updating, or publishing to marketplace. Prevents broken app structure from incorrect scaffolding, missing setup.py fields, and failed builds. Covers bench new-app, app directory structure, setup.py/pyproject.toml, hooks.py config, bench build, bench run-tests, app publishing. Keywords: app lifecycle, new-app, scaffolding, setup.py, pyproject.toml, hooks.py, bench build, app publishing, marketplace, create app, publish app, app structure, how to start new app, app directory layout.
Use when upgrading Frappe/ERPNext between major versions (v14 to v15, v15 to v16), troubleshooting failed migrations, or planning rollback. Prevents broken upgrades from skipped patches, incompatible customizations, and missing pre-upgrade checks. Covers version upgrade paths, bench update, migrate command, patch troubleshooting, rollback procedures, breaking changes per version. Keywords: upgrade, migration, v14, v15, v16, bench update, bench migrate, rollback, patches, breaking changes, update failed, bench update error, migration error, patches failing, rollback after upgrade.
Database specialist covering PostgreSQL, MongoDB, Redis, Oracle, and cloud database platforms (Neon, Supabase, Firestore). Use for schema design, query optimization, indexing strategies, data modeling, or cloud database selection. Cloud vendor guide absorbed from moai-platform-database-cloud.
Runs Docker Bench for Security, the open-source CIS Docker Benchmark audit script, across host configuration, daemon settings, images, and runtime configuration, then interprets pass/fail/warn output and remediates the common failures. Use when auditing Docker hosts for CIS compliance, scheduling recurring container assessments, or validating runtime hardening controls after a change. Keywords: docker-bench-security, CIS Docker Benchmark, audit script, pass fail warn, host configuration, remediation. Do not use for applying the daemon hardening itself - use hardening-docker-daemon-configuration.
Verify and configure SAP AI Core credentials, retrieve auth tokens, and manage resource groups. WHEN: user wants to check if AI Core is set up, configure credentials, get a Bearer token, fix authentication errors, run a setup health check, or list, create, update, or delete resource groups. DO NOT USE FOR: managing deployments — use `aicore-lifecycle-management`; listing foundation models — use `genai-hub-foundation-models`.
Manage SAP AI Core lifecycle resources: scenarios, executables, configurations, and deployments. WHEN: user wants to list or inspect scenarios or executables, create or list configurations, create or list or stop or delete or patch deployments, get deployment logs, or remove duplicate LLM deployments. DO NOT USE FOR: listing foundation models or getting inference examples — use `genai-hub-foundation-models`; managing resource groups, secrets, or GitOps resources — use `aicore-admin-resources`.
Azure AKS Agentic CLI - AI-powered troubleshooting and insights tool for Azure Kubernetes Service. Use when diagnosing AKS cluster issues, getting cluster health insights, troubleshooting networking/storage/security problems, or analyzing cluster configuration with natural language queries.
This skill should be used when the user asks to "deploy to Locaweb Cloud", "set up GitHub Actions deployment workflows", "create a preview environment", "add a production environment", "tear down an environment", "configure a custom domain", "connect to the database", "check deployment logs", "scale the VM", "recover from snapshots", "disaster recovery", "what is the app URL", "what is the deployed URL", "where is my app", or asks about architecture decisions (monolith vs microservices, vertical vs horizontal scaling), platform constraints (Postgres only, single container, port 80), managing secrets and environment variables, Dockerfile requirements, database migrations, or performing operations and troubleshooting on live infrastructure (SSH access, container logs, health checks).
This skill should be used when the user asks to "rotate SSH keys", "regenerate SSH keys", "replace SSH keys", "renew SSH keys", or when the agent needs SSH access to a deployed VM for troubleshooting (logs, debugging, database access) but discovers the expected SSH key file is missing from the local disk (e.g. `~/.ssh/<repo-name>` does not exist). Also use when the user mentions "lost SSH key", "SSH key not found", "can't SSH into server", "permission denied SSH", "moved to a new computer", or "cloned repo on another machine".
Guidance for deploying Docker in production environments. Covers Docker Swarm (init, join, stack deploy, service scaling, rolling updates), Kubernetes migration (kompose conversion, Helm charts, differences), resource quotas and limits, zero-downtime deployment patterns, monitoring with cAdvisor + Prometheus + Grafana, Docker with systemd, and production hardening. Use when the user asks about production Docker, swarm, stack deploy, K8s migration, zero-downtime, container monitoring, or needs to deploy Docker in production. 使用场景：生产部署、docker swarm、docker stack、K8s迁移、零停机部署、容器监控、生产环境。
Use when working with Frappe Cloud, Press API, provisioning sites, or managing benches on Frappe Cloud infrastructure. Prevents failed deployments from misconfigured cloud settings and API misuse. Covers Frappe Cloud dashboard, Press API, site provisioning, bench management, environment variables, cloud-specific limitations. Keywords: Frappe Cloud, Press, cloud API, site provisioning, bench management, FC, frappecloud, Frappe Cloud deploy, FC hosting, cloud setup, managed hosting.
Use when configuring scheduler events and background jobs in Frappe/ERPNext v14/v15/v16. Covers scheduler_events in hooks.py, frappe.enqueue() for async jobs, queue configuration, job deduplication, error handling, and monitoring. Keywords: scheduler, background job, cron, RQ worker, job queue, async task, frappe.enqueue, scheduled task, cron syntax, how often does it run, background job example, enqueue example.
Hostinger Hosting API for website management, order listing, datacenter selection, domain verification, free subdomains, databases, subdomains, parked domains, Node.js applications, and WordPress installs. Use when creating websites, listing hosting orders, choosing datacenters, verifying domain ownership, managing MySQL databases, adding subdomains or parked domains, deploying Node.js apps, or installing WordPress.
Set up and troubleshoot Pydantic Logfire frontend observability and session replays in JavaScript/TypeScript browser applications. Use for browser errors, RUM, Web Vitals, replay recording, privacy controls, or reducing browser telemetry volume. Supports browser entrypoints, React/Vite, and the client side of Next.js; use logfire-instrumentation for server-side telemetry.
OpenTelemetry Weaver registry authoring, codegen, and CI enforcement. Use when adopting Weaver, authoring or reviewing a registry (manifest, attributes, metrics, spans, events), writing Jinja2 templates against the resolved schema, migrating hand-maintained telemetry constants, wiring `weaver registry check`/`generate`/`diff` into CI, or choosing a Weaver version for a semantic-conventions release.
Build integrations with Rocket.net's WordPress hosting API. Manage sites, domains, backups, plugins, themes, CDN cache, FTP accounts, and more programmatically. Use when: building WordPress hosting management tools, automating site deployment, creating reseller portals, managing multiple WordPress sites, integrating with Rocket.net hosting services, automating backup workflows, or building custom control panels.
Deploy GPU workloads to RunPod serverless and pods - vLLM endpoints, A100/H100 setup, scale-to-zero, cost optimization. Use when: deploy to RunPod, GPU serverless, vLLM endpoint, scale to zero, A100 deployment, H100 setup, serverless handler, GPU cost optimization.
Scans container images, filesystems, and SBOMs for known CVEs with Anchore Grype, matching Syft-generated SBOM packages against NVD, GitHub Advisories, and OS-specific feeds with configurable severity thresholds and failure gates. Use when Grype or Syft is the chosen toolchain, when scanning an existing SBOM rather than an image, or when gating a build on severity. Keywords: Grype, Syft, SBOM, NVD, GitHub Advisory, --fail-on, severity threshold. Do not use when the toolchain is Trivy - use scanning-docker-images-with-trivy.
Deploy and manage serverless applications on Volcengine veFaaS through the `vefaas` CLI. Use when the user has chosen veFaaS or is working with existing veFaaS resources: deploy web apps, static sites, or MCP servers to veFaaS, manage applications and functions (pull/push code, release, rollback, invoke, logs), configure environment variables, manage sandboxes and gateways, inspect veFaaS projects, troubleshoot vefaas CLI/auth/framework/gateway issues, call veFaaS OpenAPI, or look up veFaaS docs and SDK usage. Also trigger on Chinese prompts mentioning 函数服务、veFaaS、vefaas、沙箱实例. If the user wants to deploy to Volcengine without choosing ECS / VKE / veFaaS, prefer `volcengine-prepare` or `volcengine-deploy` skill when installed; otherwise this skill handles the veFaaS deployment directly after checking that veFaaS fits.
Expert guidance for Docker image building — docker build CLI, buildx for multi-platform builds, BuildKit features (secret mounts, cache mounts, SSH forwarding, inline cache), Docker Build Cloud for accelerated cloud builds, layer caching strategies (--cache-from, --cache-to, GHA cache, registry cache), and CI/CD build optimization. Use when the user asks about docker build, buildx, multi-platform, multi-arch, linux/arm64, BuildKit, Build Cloud, Docker build acceleration, or build optimization. 使用场景：docker build、buildx、多平台构建、multi-platform、linux/arm64、BuildKit、Docker Build Cloud、构建加速、build optimization。
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.