Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Alibaba Cloud Tablestore (OTS) read-only operations skill. Use for querying Tablestore instances and data tables via Aliyun CLI. Triggers: "tablestore", "ots", "表格存储", "list instance", "describe instance", "list table", "describe table", "aliyun otsutil"
Guides developers through Enonic CLI commands for sandbox management, project scaffolding, local development, app deployment, and CI/CD pipeline generation. Use when creating Enonic XP sandboxes, starting or stopping local instances, scaffolding projects from starters, running dev mode with hot-reload, deploying apps, or generating CI/CD workflows for Enonic apps. Don't use for writing XP application code (controllers, content types), querying via Guillotine or lib-content APIs, configuring non-Enonic environments, or Docker/Kubernetes deployment of XP.
Orchestrates comprehensive GitHub API access across all services. Intelligently routes API operations to specialized resource files covering authentication, repositories, issues/PRs, workflows, security, and more. Use when implementing GitHub integrations, automating operations, or building applications that interact with GitHub.
This skill should be used when users need to interact with GitHub via the gh CLI. It covers repository management (create, delete, clone, fork), CI/CD workflows (GitHub Actions), Issues, Pull Requests, Releases, and other GitHub operations. Triggers on requests mentioning GitHub, repos, PRs, issues, actions, or workflows.
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that requires gathering logs and system information from multiple nodes.
Guide for the Infisical Kubernetes Operator — syncing secrets from Infisical into Kubernetes Secrets and ConfigMaps, pushing secrets from Kubernetes to Infisical, and managing dynamic secret leases in-cluster. Covers the v1beta1 CRDs (InfisicalConnection, InfisicalAuth, InfisicalStaticSecret) and the legacy v1alpha1 CRDs (InfisicalSecret, InfisicalDynamicSecret, InfisicalPushSecret), Helm installation cluster-wide or namespace-scoped, all 7 operator auth methods, sources and targets, creationPolicy Owner vs Orphan, refreshInterval, the secrets.infisical.com/auto-reload annotation for automatic Deployment rollouts, and Go templating of rendered secrets. Use this skill when someone asks about: Infisical Kubernetes Operator, InfisicalSecret CRD, InfisicalStaticSecret, syncing Infisical secrets into a Kubernetes Secret, auto-reloading pods on secret change, pushing Kubernetes secrets to Infisical, or 'how do I get Infisical secrets into my Kubernetes cluster'. Not for self-hosting Infisical on Kubernetes (infisical-self-host) — that is a different Helm chart — nor for rendering secrets to files (infisical-agent).
Huawei Ascend NPU npu-smi command reference. Use for device queries (health, temperature, power, memory, processes, ECC), configuration (thresholds, modes, fan), firmware upgrades (MCU, bootloader, VRD), virtualization (vNPU), and certificate management.
Query and handle security risk events from Alibaba Cloud Data Security Center. Supports viewing the list of unprocessed risk events and performing manual handling operations on risk events. Trigger words: "Data Security Center", "security risk events", "DSC", "risk handling", "DescribeRiskRules", "PreHandleAuditRisk"
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing
Use this skill to enumerate host↔DPU DOCA comch (formerly Comm Channel) servers and connections via the shipped doca_comm_channel_admin binary — listing comch-capable devices and decoding the per-device server / connection table (server name, PID, in-use / max, PCIe address). The shipped binary is a SINGLE-SHOT SCAN-AND-PRINT tool with no registered arguments — NO list / inspect / drain / restart subcommands; one inventory pass over every comch-capable doca_dev on this side. Channel reset / drain / restart go to doca-comch (program side), doca-setup / doca-hardware-safety (driver reload), or BFB / RShim — NOT to this binary. Trigger on phrasings like “list comch servers”, “which channels are active on this BlueField”, or “verify admin tool sees same channel as program.” Refuse and route elsewhere for the comch programming API, library install, protocol design, channel reset, or general orientation.
Purchase a Huawei Cloud X instance server and one-click deploy the SQLBot intelligent query application. Tech stack: Python 3.8+, Huawei Cloud SDK, COC (Cloud Operations Center) deployment. Key capabilities: AK/SK authentication, X instance creation, automatic security group configuration, and automatic SQLBot deployment. Use cases: Users who need to quickly deploy the SQLBot intelligent query application on Huawei Cloud X instance servers. Trigger words: “deploy sqlbot”, “install sqlbot”, “sqlbot deploy”, “one-click deploy sqlbot”, “x-instance deploy sqlbot”, “部署sqlbot”, “安装sqlbot”, “sqlbot部署”, “一键部署sqlbot”, “x实例部署sqlbot”.
Integrates CodeQL and Semgrep SAST scanning into GitHub Actions, covering scans on pull requests/pushes, rule tuning to cut false positives, SARIF upload to GitHub Advanced Security, and merge-blocking quality gates for high-severity findings. Use when adding automated code vulnerability detection to CI, enforcing consistent SAST org-wide, or producing SOC 2/PCI DSS/NIST SSDF compliance evidence.
Optimizes Magento 2 caching strategies for enterprise performance. Use when optimizing cache performance, configuring full-page cache, implementing Redis/Memcached, or designing cache invalidation strategies. Masters FPC, application cache, and distributed caching solutions.
This skill provides guidance for working with the Modal cloud platform. Read this skill before answering any questions about Modal, reading any Modal docs, inspecting the `modal` SDK, or interacting with any code that imports the `modal` SDK in Python, Go, or JavaScript, even for simple tasks you already know how to do. This skill should also trigger when the user needs to run Python code with vertical or horizontal scalability (e.g. batch jobs), needs access to GPUs (e.g. AI workloads including training and inference) or needs to run untrusted processes in a sandbox, since Modal serves these use cases well.
OpenTelemetry release version lookup for SDKs across languages and for the Collector (core, contrib, distributions, builder/OCB), the declarative configuration schema, semantic conventions, and Weaver. Use when choosing the latest compatible released OpenTelemetry SDK, package, or component version, when asked what the latest release of one of these is, and when locating setup docs or examples. Not for Collector build manifests or upgrade-risk assessment.
Every Trigger.dev management endpoint, plus offline FTS over runs, span-cost rollups, and zombie-schedule detection no other tool gives you. Trigger phrases: `trigger.dev failed runs`, `trigger.dev cost rollup`, `trigger.dev schedule health`, `audit trigger.dev env vars`, `watch trigger.dev failures`, `use trigger-dev`, `run trigger-dev`.
Information security expertise for cybersecurity frameworks (NIST, ISO 27001), security architecture, incident response, vulnerability management, identity management, and cloud security. Use when designing security programs, responding to incidents, or assessing vulnerabilities.
Alibaba Cloud STAROps Agent AIOps diagnostic skill. Use this skill to help users diagnose service errors, analyze root causes, query workspace/service topology, inspect APM metrics, and troubleshoot incidents through the STAROps Agent. Triggers: "排查根因", "根因分析", "服务报错", "服务异常", "APM 服务", "workspace 服务", "STAROps", "AIOps 诊断", "链路追踪", "告警分析".
Migrate workloads from Heroku to AWS. Triggers on: migrate from Heroku, Heroku to AWS, move off Heroku, migrate Heroku app, migrate Heroku Postgres to RDS, migrate Heroku Redis to ElastiCache, migrate Heroku Kafka to MSK, migrate dynos to Elastic Beanstalk, migrate dynos to Fargate, Heroku migration, move from Heroku to AWS, migrate Heroku Private Space, Heroku to Elastic Beanstalk, Heroku to ECS, Heroku to Fargate, leave Heroku, migrate off Heroku platform, what-if workshop, reprice Heroku migration, compare migration scenarios, workshop mode. Runs a 6-phase process: discover Heroku resources live via the authenticated Heroku CLI (read-only, consent-gated) and/or from Terraform files, Procfile/app.json, and optional billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. After Estimate, an optional what-if workshop can reprice region/HA/compute/Graviton scenarios without re-discovery. Clarify must finish before Design, Estimate, or Generate. Uses a flat resource model (no clustering or dependency graphs) with deterministic mapping tables for core services (Dynos → Elastic Beanstalk by default, Postgres → RDS/Aurora, Redis → ElastiCache, Kafka → MSK) and a fast-path table for 13+ common add-ons. Cedar/Fir generation detection is detect-only in v1. Pipeline/Review Apps are detect-only. Do not use for: GCP migrations to AWS (see gcp-to-aws), Azure migrations to AWS (see azure-to-aws), AWS-to-Heroku reverse migration, general AWS architecture advice without migration intent, Heroku-to-Heroku refactoring, or multi-cloud deployments that do not involve migrating off Heroku.
Runtime diagnosis for Olares apps and the system via olares-cli — find the root cause when an app won't install or start, crashes, cannot pull an image, is `running` but unreachable, or is slow; includes doctor images and thirdleveldomain. Use for diagnosing catalog and dev app failures, not for authoring or editing charts.
Infrastructure as code with OpenTofu (open-source Terraform fork) and Pulumi. Covers OpenTofu HCL syntax, providers, resources, data sources, modules, state management with remote backends, workspaces, importing existing infrastructure, plan/apply workflow, variable management, output values, provisioners, and state encryption (OpenTofu-exclusive). Includes Pulumi TypeScript/Python SDKs, stack management, component resources, config/secrets, state backends, policy as code, and automation API. Common patterns for multi-environment setups, module composition, CI/CD integration, drift detection, and secret management. Use when writing or reviewing HCL configurations, managing cloud infrastructure state, migrating from Terraform to OpenTofu, building Pulumi programs in TypeScript or Python, setting up multi-environment IaC pipelines, or implementing state encryption.
Use when deploying object storage (S3-compatible) to Zeabur. Use when user needs MinIO, RustFS, or S3-compatible storage. Use when user says "object storage", "file storage", "S3", "MinIO", "RustFS", "upload files", "store files", "blob storage", or "OSS". Also use when integrating object storage with an existing service.
Alibaba Cloud Milvus full-stack Skill for two planes: control-plane instance management via aliyun CLI, and data-plane Milvus operations via pymilvus. Use when users want to create, inspect, scale, configure, network-enable, or whitelist Alibaba Cloud Milvus instances; or connect to Milvus and perform collection management, vector insert/search, hybrid search, full-text search, index management, partition/database management, or RBAC with Python.
Designs git workflows covering branching strategies, trunk-based development, stacked changes, conventional commits, CI/CD pipelines, and repository hygiene. Use when setting up branching models, writing commit messages, configuring GitHub Actions, managing stacked PRs, cleaning stale branches, creating issue templates, or recovering lost commits.
Manage Huawei Cloud APIG (API Gateway, dedicated instances) via hcloud CLI: instance lifecycle (create/list/delete), API groups, API create/update/delete, publish/offline, request throttling policies, signature keys, access control (ACL) policies, and public ingress EIP binding, plus read-only diagnosis of public access (eip_address vs sl_domain), the instance -> group -> API -> publish chain, and policy effectiveness. Delete operations require explicit user confirmation; instance creation is a 5-15 minute async operation that must be polled until status == Running. Triggers include: APIG, API gateway, API 分组, API 管理, 流控策略, throttling, 签名密钥, signature key, 访问控制, ACL 策略, access control, publish API, 发布 API, 下线 API, 实例管理, 公网访问, ingress EIP, 策略生效诊断, API 网关排障.
Huawei Cloud RDS (Relational Database Service) full-scenario intelligent service covering all database engines (MySQL, PostgreSQL, SQL Server, MariaDB, GaussDB for MySQL, TaurusDB). Provides six capability domains: (1) Basic intelligent Q&A for RDS product features, best practices, and specifications; (2) SQL statement performance optimization with slow log analysis, top SQL, execution plan guidance, and index recommendations; (3) Database instance daily O&M including health inspection, restart, flavor resize, disk expansion, primary-standby switchover, and read replica management; (4) Online fault localization and troubleshooting via error logs, replication status, connection diagnostics, and recovery time window; (5) Parameter tuning with parameter group management, modification suggestions, and performance parameter adjustment guidance; (6) Backup and recovery guidance including backup policy management, manual backup creation, restore to new/existing instance, and point-in-time recovery. Uses CLI→SDK→API three-level fallback for maximum compatibility. All mutating operations require explicit user confirmation. Triggers include: “RDS,” “关系型数据库,” “数据库实例,” “慢SQL,” “SQL优化,” “数据库运维,” “数据库故障,” “故障排查,” “参数调优,” “备份恢复,” “数据库巡检,” “RDS诊断,” “数据库诊断,” “DBA,” “数据库性能,” “主从延迟,” “连接数,” “数据库备份,” “数据恢复,” “RDS智能服务,” “database instance,” “RDS troubleshooting,” “slow query,” “SQL performance,” “database backup,” “parameter tuning,” “RDS ops,” “database diagnose.”
Set up end-to-end Change Data Capture (CDC) pipelines on Confluent Cloud using Debezium source connectors, Flink for transformation, and Tableflow for data lake integration. Supports JSON_SR, Avro, and Protobuf formats. Handles schemaless topics (plain JSON without SR) and multi-event topics. This skill handles the complete workflow from database to Iceberg/Delta tables. Use this skill when users want to capture database changes and materialize them into Iceberg or Delta Lake tables via Confluent Cloud Tableflow. Trigger phrases include "CDC to Tableflow", "database to Iceberg", "database to Delta Lake", "stream database changes to data lake", "set up Tableflow pipeline", "schemaless topic to Tableflow", or "multi-event topic to Iceberg". Do NOT trigger for general CDC, Debezium, or database replication requests that do not involve Tableflow or Iceberg/Delta Lake as the destination.
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.