Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Manage Huawei Cloud ModelArts dedicated resource pools (专属资源池) and node pools through full lifecycle operations via hcloud CLI. Covers 53 operations across 10 functional domains: resource pool management, pool nodes, node pool management, network resources, tag management, plugin management, jobs/tasks, scheduled events, OS configuration, and resource flavor/event queries. Includes BSS on-demand pricing inquiry before chargeable operations (create/expand) to inform users of costs. All write operations require user confirmation. Triggers include: "资源池", "专属资源池", "resource pool", "创建资源池", "查询资源池", "删除资源池", "更新资源池", "资源池监控", "资源池节点", "pool node", "节点池", "node pool", "资源池网络", "pool network", "资源池标签", "pool tags", "插件", "plugin", "工作负载", "workload", "定时事件", "scheduled event", "OS配置", "规格列表", "ModelArts resource pool", "manage resource pool", "询价", "pricing", "按需价格", "价格查询".
Audit Infrastructure-as-Code for security misconfigurations before it ships — Terraform (.tf/.tfvars/.hcl), CloudFormation/SAM (YAML/JSON), Kubernetes & Helm manifests, and Docker / Docker Compose. Reads the IaC offline and reports each misconfiguration at file:line with a severity (P0–P3) and a corrected snippet. A dependency-free scanner does the high-recall first pass; the model adds blast-radius and cross-resource judgment. No cloud credentials, no terraform apply, no pip install. Trigger when reviewing a Terraform plan before apply, auditing K8s/Helm manifests or a Dockerfile before deploy, checking CloudFormation for public S3 buckets or open security groups, doing a pre-deployment or compliance (SOC-2 / PCI-DSS / ISO-27001) security review, or when the user asks "audit this Terraform", "is this S3 bucket public?", "is this security group open to the internet?", "is this container running as root?", "what's the blast radius if this infra is wrong?", or "run an IaC security scan".
Call hosted LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, open-weights models) through the Lightning AI models API / LLM gateway - chat, streaming, multi-turn conversations, images, and model metadata; plus the teamspace model checkpoint registry. Use when the user wants to run inference through lightning.ai, compare gateway models, or manage model artifacts on the platform.
Build cross-domain production evidence from readiness, migration, recovery, capacity/cost, and incident learning into launch or operational decisions. Do not use this skill for a single specialist's risk packet and launch gate; use `production-readiness` for that readiness review.
Creates Prowler Attack Paths openCypher queries using the Cartography schema as the source of truth for node labels, properties, and relationships. Covers Prowler-specific additions (Internet node, ProwlerFinding, internal isolation labels), $provider_uid scoping, and list-property item nodes with typed `HAS_*` edges that run efficiently on both Neo4j and Amazon Neptune sinks. Trigger: When creating or updating Attack Paths queries.
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
Debug, develop, and operate apps hosted on Railway (railway.com) from the CLI — list projects/services, tail and filter build/deploy/HTTP logs, read metrics, inspect and set variables, deploy from the current directory, redeploy / restart / roll back, run local commands with the service's env, SSH into containers, and open a DB shell. Uses an available authenticated Railway connector or CLI; repository deployment policy determines the release route. Optional bundled scripts (`scripts/preflight.sh`, `scripts/debug.sh`, `scripts/smoke.sh`) are Onsager-specific wrappers — other repos can ignore them or fork. Triggers include "deploy to railway", "railway deploy this", "railway logs", "tail railway logs", "why is my railway service crashing", "why did the build fail on railway", "railway 500s", "railway latency", "show railway http logs", "redeploy on railway", "restart my railway service", "roll back railway", "set a railway env var", "list railway variables", "railway metrics", "is my railway service healthy", "connect to my railway postgres", "ssh into railway", "run this locally with railway env", "list railway projects/services/deployments", and (Onsager-specific) "check railway", "preflight", "smoke test", "is the deploy healthy".
Prepare one stable GitLab release runbook from an exact tag-to-head inventory, with SemVer rationale, release notes, announcement, illustration prompt, and exactly bound manual glab commands. Use when the user asks to prepare a stable release from an exact release MR. Russian discovery terms: подготовить релиз.
Scaffold a new Rust+Node.js hybrid monorepo with pnpm workspaces, Cargo workspace, CI workflows, and publish infrastructure. Use when: (1) starting a new project from scratch, (2) adding missing infrastructure to an existing repo, (3) figuring out the canonical project structure for a Rust+Node.js tool. Triggers on "bootstrap", "scaffold", "new project", "set up project", or "init" in a Rust+Node.js context.
Create Sentry alerts using the workflow engine API. Use when asked to create alerts, set up notifications, configure issue priority alerts, or build workflow automations. Supports email, Slack, PagerDuty, Discord, and other notification actions.
Design, implement, review, or repair CI/CD pipelines, release artifacts, environment promotion, deployment rollout, verification, and rollback workflows. Use when software delivery or release safety is a primary part of the task. Do not use merely to run an existing local build or to deploy without explicit authorization for the target environment
Retrieve detailed Linux system information including OS distribution, kernel version, CPU model and core count, memory usage, and uptime. Use when the user asks about system specs, hardware details, RAM, processor info, kernel version, or needs a host inventory summary.
Deploy autonomous AI agents on the Teneo Network using the Teneo Agent SDK (Go). Mint a gasless NFT identity, define commands and pricing, and earn USDC per query through x402 micropayments. Supports EnhancedAgent, SimpleOpenAIAgent, and OpenAIAgent.
Use this skill to gate CI on Jetpack Compose stability — catch when a composable becomes unskippable/unrestartable or a parameter goes stable → unstable, before it ships and tanks recomposition. Covers the Compose Stability Analyzer Gradle plugin's `stabilityDump` (write a `.stability` baseline) and `stabilityCheck` (compare current compilation against it, fail on regression) tasks, the `composeStabilityAnalyzer { stabilityValidation { … } }` DSL (`failOnStabilityChange`, `ignoreNonRegressiveChanges`, `ignored*` lists, `allowMissingBaseline`, `stabilityConfigurationFiles`), the `@IgnoreStabilityReport` annotation, committing `app/stability/app.stability` as a team baseline, the deliberate baseline-update workflow, and GitHub Actions wiring (`needs: build`, since the analysis reads compiled output). Use when the user mentions "stabilityCheck", "stabilityDump", "compose stability analyzer", "stability baseline", "@IgnoreStabilityReport", "composeStabilityAnalyzer", or "fail the build on stability changes".
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required — returns a preview URL and a claimable deployment link.
Use when the user wants to manage their VPS servers and the AI agents running inside them — connecting, deploying, monitoring, restarting, and operating remote hosts and their agents. Triggers on VPS, server management, remote host, SSH into server, manage my servers, agents on the server.
WordPress CI/CD and release engineering review guidance. Use when reviewing GitHub Actions, deployment pipelines, Composer/npm build steps, plugin/theme packaging, release automation, secrets handling, SVN deploy flows for WordPress.org, staged rollouts, rollback plans, or when user mentions CI, CD, release pipeline, GitHub Actions, deployment workflow, build artifact, plugin zip, or release engineering. Helps review build reproducibility, packaging correctness, secret boundaries, deployment safety, rollback readiness, and WordPress-specific release pitfalls.
WordPress WP-CLI and operations review guidance. Use when reviewing WP-CLI commands, search-replace plans, multisite operations, cron or cache maintenance, deployment scripts, operational runbooks, CLI automation, or when user mentions "WP-CLI", "search-replace", "multisite ops", "wp cron", "wp db", "deployment script", "maintenance task", "CLI command", or "ops review". Helps review command safety, environment targeting, multisite scope, automation reliability, and operational blast radius in WordPress codebases and runbooks.
Analyze and troubleshoot Alibaba Cloud AnalyticDB (ADB) Spark applications—execution monitoring, failure diagnosis, performance anomaly detection, and cross-application comparison. Use this Skill when users need to: 1. Check the execution status of AnalyticsDB Spark applications (running, succeeded, failed, etc.). 2. Analyze root causes of failed AnalyticsDB Spark applications (e.g., OOM, data skew, dependency errors, permission issues). 3. Identify Spark applications with abnormal execution duration by statistical analysis. 4. Compare similar Spark applications to pinpoint performance anomalies or detect SQL execution plan differences. Also applicable for "why did my Spark job fail", "which Spark app is running slow", "compare two Spark runs", etc.
Query SAG (Smart Access Gateway / 智能接入网关) configurations and perform status inspections via Alibaba Cloud OpenAPI. Generates inspection report files. Use when the user mentions SAG, smart access gateway, 智能接入网关, or asks to check SAG instance status, query SAG configs, inspect SAG health, troubleshoot SAG connectivity, perform SAG device inspections, 网关巡检, 查询SAG配置, SAG状态巡检, or SAG健康检查.
Use when managing Alibaba Cloud AIContent (AiContent) via OpenAPI/SDK, including the user needs AI content generation or content workflow operations in Alibaba Cloud, including listing assets, creating/updating generation configurations, checking task status, or troubleshooting failed content jobs.
Use when managing and troubleshoot Alibaba Cloud ALB (Application Load Balancer), including the user asks to inspect, create, change, or debug ALB instances, listeners, server groups, rules, certificates, ACLs, security policies, or health checks in Alibaba Cloud.
Use when managing Alibaba Cloud ESA — deploy HTML/static sites via Pages, manage Edge Routines (ER) for serverless edge functions, use Edge KV for distributed key-value storage, configure Origin Rules for CDN proxy and origin routing, handle site management, DNS records, cache rules, and query traffic analytics via OpenAPI/SDK. Use when working with ESA, edge deployment, edge functions, Pages, ER, KV storage, DNS, cache, origin rules, CDN proxy, site configuration, traffic analytics, bandwidth trends, or top-N rankings.
Use when managing Alibaba Cloud ApsaraVideo for Media Processing (MPS/MTS) resources and workflows via OpenAPI/SDK, including media ingest and metadata tasks, transcoding/snapshot jobs, pipeline/template/workflow operations, and MPS job troubleshooting.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
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.