Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Alibaba Cloud MaxCompute Cost Analysis Skill. Analyze MaxCompute pay-as-you-go costs including billing, storage metrics, and compute metrics. Triggers: "maxcompute cost", "odps cost", "maxcompute billing", "maxcompute费用", "成本分析", "费用分析", "存储用量", "计算用量", "费用突增", "SQL签名", "SQL signature", "重复SQL", "扫描量最大", "daily billing details", "每日账单明细", "按计费项", "billing by fee item".
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform. Do NOT use for deploying to Vercel, Netlify, or Cloudflare (use their respective skills).
Provides comprehensive guidance for Spring Cloud Alibaba including Nacos, Sentinel, RocketMQ, and Alibaba Cloud integration. Use when the user asks about Spring Cloud Alibaba, needs to use Alibaba Cloud services, implement service discovery with Nacos, or work with Spring Cloud Alibaba components.
Expert knowledge for Azure Virtual Machines development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when choosing VM/disk/GPU SKUs, configuring NVMe/Ultra disks, using Trusted Launch, or running Oracle/HPC workloads, and for other Azure Virtual Machines development tasks. Not for Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), Azure Data Science Virtual Machines (use azure-data-science-vm), or Azure DevTest Labs (use azure-devtest-labs).
Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud
This skill should be used when the user asks to “build my game”, “run my Phaser game”, “start dev server”, “deploy my game”, “fix build errors”, “configure Vite for Phaser”, “game won't build”, “TypeScript errors in Phaser”, “publish to itch.io”, or needs to compile, run, troubleshoot, or deploy a Phaser 4 project.
Use when a user wants to wire an OpenTelemetry collector into a Managed ClickStack service on ClickHouse Cloud, either by deploying a new local collector (Docker run or Docker Compose) or by configuring their own existing collector, then send rich synthetic telemetry and verify it is visible in ClickStack.
Create Domo Code Engine packages from CLI workflows with deterministic payload contracts, automatic function parameter datatype mapping, and manifest packagesMapping follow-up guidance. Use when an agent must create a new package/versioned package container rather than only invoke an existing function from app runtime code.
Update Domo Code Engine packages through CLI-driven versioned lifecycle workflows with compatibility checks, datatype contract safeguards, and manifest mapping drift synchronization. Use when an agent must update package code or create a new package version and keep app mappings aligned.
Provides an access guide for the Huawei Cloud Graph Database GES service. Covers Cypher queries, GQL queries, schema/label management, summary info queries, graph data editing, and more. Use this skill when users want to operate the Huawei Cloud graph database GES service via terminal.
Plan and execute a migration from the mem0 open-source/self-hosted SDK (local `Memory` class) to the mem0 Platform/hosted SDK (`MemoryClient`). Trigger when a developer wants to move mem0 to the hosted API, for example: “migrate my mem0 setup to the platform”, “switch from self-hosted mem0 to MemoryClient”, “use my mem0 API key instead of a local Qdrant”, or “replace my local vector store + embedder config with the platform”, even without the word “migrate”. Covers Python (`Memory` to `MemoryClient`) and TypeScript (`mem0ai/oss` to `mem0ai`). Produces a reviewable plan, then executes it after approval. Touches only the mem0 integration. Do NOT trigger when adding mem0 to a project that has none (use `mem0-integrate`) or answering SDK usage questions (use `mem0`).
Use when troubleshooting Linux server performance or stability issues — CPU saturation, high load, scheduling delay, memory pressure, OOM events, high RSS, page cache / shared memory growth, memory cgroup residue, Java heap issues, disk IO saturation or latency, packet loss, network jitter, or a server that is slow, stuck, or unstable. Performs diagnosis and surfaces recommendations; does not apply fixes automatically.
Startup-tailored AWS architecture advice that adjusts recommendations to the company's stage (pre-revenue through Series B+), team size, runway, and available credits. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. For AI-agent runtime selection or agentic architecture recommendations specifically, use agent-advisor. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS, Azure-to-AWS, or Heroku-to-AWS (see the migration skills: `gcp-to-aws`, `azure-to-aws`, `heroku-to-aws`, `llm-to-bedrock`).
Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).
Expert knowledge for Azure Communication Services development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when building ACS calling, chat, SMS, email, Teams interop, or PSTN/Direct Routing solutions, and for other Azure Communication Services development tasks. Not for Azure Notification Hubs (use azure-notification-hubs), Azure SignalR Service (use azure-signalr-service), Azure Web PubSub (use azure-web-pubsub), or Azure AI Bot Service (use azure-bot-service)
Expert knowledge for Azure Database for MySQL development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when planning MySQL Flexible Server tiers, HA/DR, automated deployments, backups/replication, or secure app connectivity, and for other Azure Database for MySQL development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), or Azure Database for PostgreSQL (use azure-database-postgresql)
Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation. Use when the user mentions CI/CD, GitHub Actions, Jenkins, GitLab CI, deployment, or automation, or when the task involves CI/CD Fundamentals, Pipeline Design, Workflow Basics, or Docker Build and Push
Comprehensive skill for working with Azure DevOps REST API across all services, including Boards (work items, queries, backlogs), Repos (Git, pull requests, commits), Pipelines (builds, releases, deployments), Test Plans, Artifacts, organizations, projects, security, extensions, and more. Use when implementing Azure DevOps integrations, automating DevOps workflows, or building applications that interact with Azure DevOps services
CI/CD pipelines, deployment strategy, and infrastructure. Use when setting up GitHub Actions workflows, choosing deployment platforms, configuring production environments, securing pipelines with OIDC, optimizing build performance, building container images, measuring DORA metrics, or setting up Docker multi-stage builds.
Platform-specific Docker considerations for Windows, Linux, and macOS. PROACTIVELY activate for: (1) Docker Desktop on Windows (WSL2 vs Hyper-V backends), (2) Docker Desktop on macOS (Apple Silicon, Rosetta, virtiofs), (3) native Docker Engine on Linux, (4) rootless Docker setup, (5) cross-platform image building (--platform, buildx, multi-arch manifests), (6) ARM64 vs x86_64 image selection, (7) volume performance differences (bind mount vs named volume across platforms), (8) Docker Desktop resource tuning per OS. Provides: per-platform setup steps, multi-arch build recipes, rootless setup, performance-tuning checklist, and known platform-specific gotchas.
Configure passwordless SSH login to Huawei Cloud ECS instances using COC (Cloud Operations Center). Automates IAM agency authorization, SSH key pair generation, COC script deployment to one or many target ECS instances (batch), SSH connection testing, and automatic security cleanup after 60 seconds (removing keys from both local and remote). 触发词: 免密登录, COC SSH, ECS key login, SSH key deployment, passwordless SSH
Interact with the JFrog Platform via the JFrog CLI, JFrog MCP server, and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, sast, or any JFrog product name. Do NOT use this skill to install, add, remove, list, or manage MCP servers.
Cloud security attack methodology covering AWS, Azure, and GCP. Includes credential harvesting (IMDS, ~/.aws, env vars, leaked CI secrets, instance roles), enumeration with cloud-specific tools (pacu, ScoutSuite, Prowler, ROADtools, gcp_enum), privilege escalation paths (IAM PassRole, AssumeRole chains, Lambda/Functions privilege flips, Azure Owner-on-self, GCP serviceAccountTokenCreator), persistence techniques (IAM user/key creation, AAD app registration, GCP svc account key creation, EventBridge/Logic Apps backdoors), data exfiltration (S3/Blob/GCS, snapshot share, RDS/CosmosDB/Cloud SQL exfil), cloud-native lateral movement (cross-account assume, Azure AD multi-tenant, GCP project hierarchy), serverless attacks (Lambda env vars, layer hijack, Step Functions), Kubernetes-on-cloud (EKS/AKS/GKE-specific paths to node and AWS metadata), and CSPM evasion (CloudTrail blind spots, GuardDuty mute, Sentinel rule shaping). Use when the engagement scope is cloud accounts, when you've stolen cloud credentials, or when assessing cloud posture.
Use when services need public URL for redirects or CORS. Use when WEB_URL or similar has trailing slash issues. Use when user reports "redirect goes to wrong URL", "CORS error", or "trailing slash problem". Also use when user says "add domain", "set up domain", "bind domain", "create domain", or "manage domains" for a Zeabur service. Also use when domain creation fails with "WONDER_MESH_SERVER_REQUIRES_GATEWAY" or a domain is stuck in PROVISIONING on a Wonder Mesh server.
This skill should be used when the user asks to "migrate to Buildkite", "convert pipelines from Jenkins", "convert GitHub Actions workflows", "convert CircleCI config", "convert Bitbucket Pipelines", "convert GitLab CI", "migrate CI/CD to Buildkite", "switch from Jenkins to Buildkite", "move from GitHub Actions", "plan a CI migration", "convert my CI config", "bk pipeline convert", or "what's the Buildkite equivalent of". Also use when the user mentions migration planning, CI conversion, pipeline conversion, converting workflows, or asks about translating CI/CD configuration from another provider to Buildkite.
Canonical template files for Keboola Python components — Dockerfile, pyproject.toml, push.yml, build_n_test.sh, docker-compose.yml, pre-commit-config.yaml, and config-schema.md. Load this whenever creating or modifying any of these files in a component, or when checking whether non-source files are aligned with the official cookiecutter template. Any deviation from these templates must have an explicit reason. Internal utility — usually invoked via Task from develop-component or migrate-to-uv, but should be consulted any time one of these files is being touched.
Expert in Kanidm modern identity management system specializing in user/group management, OAuth2/OIDC, LDAP, RADIUS, SSH key management, WebAuthn, and MFA. Deep expertise in secure authentication flows, credential policies, access control, and platform integrations. Use when implementing identity management, SSO, authentication systems, or securing access to infrastructure
Designs and audits macOS launchd watchdogs: LaunchAgent/LaunchDaemon setup, plist edits, scheduled self-healing, repeated notifications, apps reopening after quit, crash/repair loops, Script Editor alerts, stop/disable/restart, cooldown/backoff, notification throttling, alert decisions, schedule readback, WatchPaths/FSEvents event triggers. Supports periodic observers. launchd daemons, persistent tasks, startup launch, background monitoring, scheduled self-healing, notification-source troubleshooting, event-driven monitoring.
Expert knowledge for Azure Event Hubs development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when working with Kafka clients, Flink/Spark, geo-replication, Entra ID/RBAC authentication, Event Hubs Capture/Avro, or other Azure Event Hubs development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Grid (use azure-event-grid), Azure Notification Hubs (use azure-notification-hubs), or Azure Web PubSub (use azure-web-pubsub).
Expert knowledge for Azure SQL Managed Instance development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when planning MI networking, migrations, HA/DR, backup and restore, Entra-integrated security, or other Azure SQL Managed Instance development tasks. Not for Azure SQL Database (use azure-sql-database), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), or Azure Virtual Machines (use azure-virtual-machines).
Huawei Cloud SWR enterprise instance management skill using hcloud CLI. Use this skill when the user wants to: (1) manage SWR enterprise instances - create/list/show/delete/update configuration, (2) manage instance namespaces - create/list/show/update/delete with security scanning settings, (3) manage instance registries (sync targets) - create/list/show/update/delete, (4) manage instance repositories - list/show/delete/update, (5) manage instance artifacts (image versions) - list/show/delete/scan, (6) manage instance credentials - long-term and temporary, (7) manage instance endpoints - internal/public access, (8) manage instance domains - add/list/show/delete/update, (9) check instance statistics and job status. Trigger: user mentions "SWR enterprise instance", "SWR 企业实例", "SWR 企业版", "企业仓库实例", "SWR instance", "SWR 专业版", "swr.ee", "instance namespace", "instance registry", "instance repository", "instance artifact", "instance credential", "instance endpoint", "instance domain", "企业仓库", "实例管理", "同步目标仓库", "sync target"
Monitor Nx Cloud CI pipeline status and handle self-healing fixes automatically. Use when user says "watch CI", "monitor pipeline", "check CI status", "fix CI failures", or "self-heal CI". Requires Nx Cloud connection. Do NOT use for local task execution (use nx-run-tasks) or general CI debugging outside Nx Cloud.
Provides comprehensive guidance for Spring Cloud microservices including service discovery, configuration management, load balancing, circuit breakers, API gateways, and distributed tracing. Use when the user asks about Spring Cloud, needs to build microservices, implement service discovery, or work with Spring Cloud components.
Create, edit, deploy, and interact with agents on TerminalUse. Use when user mentions "tu", "terminaluse", "deploy agent", "create agent", "edit agent", "update agent", "add skills", "agent task", "filesystem", or wants to build/modify/test/run an agent.
Expert-level Terraform infrastructure as code, modules, state management, and production best practices. Use when the user mentions infrastructure as code, devops, or automation, or when the task involves Terraform Basics, Resource Management, Modules, or State Management.
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.