Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Generate a package.xml (and optionally destructiveChanges.xml / Pre / Post) from a source directory, a component list, or org introspection. Trigger on “generate a package.xml from this folder,” “create a manifest for these classes,” “I need a deploy manifest,” or “destructiveChanges.xml for deletions.” Encodes wildcard-versus-explicit-member rules per metadata type. Do not trigger for deploy (platform-metadata-deploy), delete (platform-destructive-deploy), or retrieve (platform-metadata-retrieve).
MUST USE this skill for ANY sandbox request — including simply getting a sandbox's details, status, license type, or pending-activation state by name or ID. TRIGGER when the user: types "sandbox -help"/"sandbox help"; mentions a sandbox ID (07E prefix); asks to list or show sandboxes; asks for the details, status, license type, or config of a sandbox by name or ID; activates or discards a completed refresh; deletes a sandbox; verifies activation or deletion; creates or refreshes a sandbox. DO NOT TRIGGER when: the user wants to clone a sandbox.
Interact with Grafana Cloud k6 (GCk6) — manage load tests, test runs, scripts, projects, schedules, env vars, fetch metrics or logs, and run scripts locally — using the `gcx` CLI (or direct curl when gcx is unavailable). Use this skill whenever the user mentions a k6 cloud test or run, asks to list/edit/create/start/abort k6 load tests, wants to fetch logs or metrics for a test run, manage k6 project limits or schedules, run a k6 script locally or via k6 cloud run, or needs to call any `/cloud/v6/`, `/cloud/v5/`, or k6-app Loki endpoint against a Grafana Cloud stack. Trigger even when the user doesn't explicitly say "gcx" or "API" — phrases like "why did my k6 test fail", "show me logs for run X", "bump VUh limit on project Y", or "update my k6 script" all qualify.
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code (use generating-apex), building LWC components (use generating-lwc-components), creating metadata definitions (use generating-custom-object or generating-custom-field), or querying org data (use handling-sf-data).
Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.
Docker containerization for .NET 10 applications. Covers multi-stage builds, .NET container images, non-root user configuration, health checks, and .dockerignore. Load this skill when containerizing an application with a Dockerfile, optimizing image size, setting up Docker Compose for local development, or when the user mentions "Docker", "Dockerfile", "container", "docker-compose", "image", "multi-stage", "non-root", ".dockerignore", or "container health check". For Dockerfile-less SDK publishing (`dotnet publish /t:PublishContainer`), load the container-publish skill instead.
Zero-config Postgres for Netlify apps via @netlify/database — querying data from Functions/Edge Functions, writing schema migrations, setting up Drizzle ORM, local dev with netlify dev, database branches for deploy previews, and migrating an existing Postgres project onto Netlify. Use when adding a database, building a contact form or CRUD API, writing SQL migrations, wiring up Drizzle, running netlify database commands, testing with a local Postgres, or switching from Neon/Supabase/RDS to Netlify Database.
CI/CD pipelines for .NET applications. Covers GitHub Actions and Azure DevOps YAML pipelines with build, test, publish, and deploy stages. Load this skill when setting up continuous integration, automated testing, deployment workflows, or when the user mentions "CI/CD", "pipeline", "GitHub Actions", "Azure DevOps", "workflow", "deploy", "build pipeline", "publish", "NuGet push", "release", or "continuous integration".
Observability overview and glue for .NET 10: how the pieces fit together, plus the cross-cutting parts owned here - ASP.NET health check endpoints (/health), correlation IDs, and log-level strategy. For deep Serilog setup load `serilog`; for traces and metrics load `opentelemetry`. Load this skill when setting up observability from scratch, wiring health check endpoints or correlation IDs, or when the user says "logging", "observability", "monitoring setup", "liveness", "readiness", or "ILogger".
OpenTelemetry observability for .NET 10 applications. Covers traces, metrics, and logs using the OpenTelemetry SDK with OTLP export. Includes custom ActivitySource, IMeterFactory metrics, resource configuration, and Aspire Dashboard integration. Load this skill when setting up distributed tracing, custom metrics, OTLP export, or when the user mentions "OpenTelemetry", "OTLP", "traces", "spans", "Activity", "ActivitySource", "metrics", "IMeterFactory", "Meter", "Counter", "Histogram", "Gauge", "telemetry", "observability", "distributed tracing", "OTEL", or "Aspire Dashboard".
.NET Aspire for cloud-native orchestration. Covers AppHost configuration, service defaults, resource configuration, service discovery, and the Aspire dashboard. Load this skill when setting up local development orchestration, service discovery, or Aspire-managed infrastructure, or when the user mentions "Aspire", "AppHost", "service defaults", "service discovery", "orchestration", "Aspire dashboard", "AddProject", "WithReference", or "cloud-native .NET".
Dockerfile-less containerization using the .NET 10 SDK container publishing feature. Covers MSBuild properties, chiseled images, multi-arch builds, and registry publishing — all without writing a Dockerfile. Load this skill when the user wants to containerize without a Dockerfile, or mentions "dotnet publish container", "PublishContainer", "ContainerRepository", "ContainerFamily", "chiseled", "distroless", "container publish", "SDK container", "no Dockerfile", or "containerize without Docker".
Build and deploy a paid API that other agents can pay to use via x402. Use when you or the user want to monetize an API, make money, earn money, offer a service, sell a service to other agents, charge for endpoints, create a paid endpoint, or set up a paid service. Covers "make money by offering an endpoint", "sell a service", "monetize your data", "create a paid API".
Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't use for pod-level application failures (use gke-workload-troubleshooting), autoscaler scale-up/scale-down decisions (use gke-cluster-autoscaler), or non-GKE compute.
Bootstrap Trigger.dev into an existing project from scratch: authenticate the CLI, install @trigger.dev/sdk and @trigger.dev/build, write trigger.config.ts with the project ref and task dirs, scaffold a /trigger directory with a first task, wire tsconfig and .gitignore, set TRIGGER_SECRET_KEY, and run the dev server. Load this when a project has no trigger.config.ts yet and the user asks to "add Trigger.dev", "set up Trigger.dev", "initialize Trigger.dev", or get a first task running, including in a monorepo. Once the project is set up and you are writing task code, switch to the trigger-tasks skill.
Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands, data models, field namespaces, time alignment, entity/smartscape patterns, metric discovery, and performance/cost optimization (filter early, bucket filters, short time ranges, field selection, sampling, cardinality). Trigger: "write/build/fix a DQL query", "DQL syntax", "query logs/spans/metrics", "create a timeseries", "optimize my DQL", "make my query faster/cheaper", "reduce DQL cost/consumption/scanned data", "keep DQL cost under control". Do NOT use to explain an existing query or answer product questions. For MONITORING a tenant's ACTUAL query consumption/billing (how much queries cost, who scanned most, cost trends) use dt-platform-costs — this tunes the query text, not billing data.
Create a change management request with impact analysis and rollback plan. Use when proposing a system or process change that needs approval, preparing a change record for CAB review, documenting risk and rollback steps before a deployment, or planning stakeholder communications for a rollout.
Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions.
Manage Celigo integrations — the named containers that group flows, APIs, Tools, connections, scripts, and settings so a body of automation is organized, secured, and evolved as one unit. Covers plain integrations vs Integration Apps, parent/child hierarchies, cloning with connection remap, moving resources between integrations, notifications, aliases, and Integration Lifecycle Management (ILM) revisions/snapshots/pulls/reverts across environments. Use when creating, organizing, cloning, promoting, or versioning integrations, or deciding whether new work belongs in an existing integration or its own
Manage Celigo API tokens (the accesstoken resource) — bearer credentials that authenticate inbound programmatic calls into integrator.io's REST API, custom APIs, and MCP servers. Covers personal access tokens (PATs) versus account-level API tokens, least-privilege scoping versus full access, the revoke-before-delete lifecycle, auto-purge expiry, and keeping token secrets out of chat. Use when creating, scoping, rotating, revoking, or deleting API tokens or PATs, or when distinguishing an integrator.io API token from a connection's OAuth access token
Manage Celigo on-premise agents — lightweight software you install on a host inside your own network that opens a secure OUTBOUND tunnel to integrator.io, letting the platform reach private systems (on-prem databases, file shares, internal apps) without opening inbound firewall ports. An on-premise agent is a connectivity resource on the `/agents` page — not a stack (compute) and not an AI agent (LLM processing). Use when connecting to a system behind a firewall, installing or pairing an agent, rotating its access token, or diagnosing agent-offline flow failures
Configure Celigo stacks — pointers to your own compute environment (a self-hosted `server` or an AWS `lambda`) where Celigo runs extension code (script hooks and connector wrappers) instead of on its hosted JavaScript runtime. A stack stores the address and credentials of that runtime, not the code itself. Use when deciding whether you need a stack, choosing between `server` and `lambda` types, creating or updating a stack, or pointing a hook or wrapper at one via `_stackId`
Query Coralogix infrastructure resources with the `cx infra` CLI: resource types, filterable attributes, resource lists, health, raw data and configuration changes. Use when the user asks to "show resource types", "list infrastructure resources", "what resources of this kind are monitored", "is this resource healthy", "why is this resource critical", "which health policy is failing", "when did this resource go critical", "get raw resource data", "find resources by name", "filter resources by service or environment", "critical hosts in a region", "what can I filter resources by", "resources in this cluster or namespace", "which resources changed recently", "what changed in this resource", "configuration drift", "did anything change before the incident", "what was this config last week", or wants to explore infrastructure resources.
Guide a user end to end through setting up Chrome Web Store API release automation in any repository. Use when asked to walk someone through OAuth/CWS credential setup, refresh token creation, local/CI secret setup, version-based publish automation, and submission status checks.
Manages existing Elastic Cloud Serverless projects: list, get, update, delete, reset credentials, resume, and load saved credentials. Connects to existing projects by resolving endpoints and acquiring scoped Elasticsearch API keys. Use for day-2 operations on serverless projects, connecting to an existing project, loading or resetting project credentials, or looking up project details.
Deploy validated metadata to a Production Salesforce org without re-running tests. TRIGGER when the user wants to deploy to production, says 'quick deploy', 'promote', 'ship to prod', or has just validated and wants to push the change live. REQUIRES a recent `sf project deploy validate` job ID (≤10 days old, ≤3 days for --use-most-recent). DO NOT TRIGGER for sandbox/scratch deploys (use platform-metadata-deploy) or unvalidated deploys (use platform-deploy-validate first).
Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.
Execute the destructiveChanges.xml delete-and-deploy workflow against a Salesforce org. TRIGGER when the user asks to delete/remove a custom object, field, Apex class, flow, or any metadata component FROM an org, or to perform a 'destructive deploy' / removal as part of a release. Validates first and gates production with explicit confirmation. DO NOT TRIGGER for local file deletion (use Bash), or for net-new deploys (use platform-metadata-deploy).
Creates Elastic Cloud Serverless projects (Elasticsearch, Observability, or Security) via the REST API, saves credentials to file, and bootstraps a scoped Elasticsearch API key. Use when creating a new serverless project, provisioning a search or observability environment, or spinning up a new Elastic Cloud project
Log querying, filtering, pattern analysis, and error rate calculation. Use when searching application or infrastructure logs, analyzing error patterns, or correlating log data. Trigger: "show error logs", "search logs for keyword", "log error rate", "recent errors", "logs from last hour", "find log entries", "top error messages", "log patterns", "parse JSON logs", "logs by process group", "log trends over time", "log entry counts per minute". Do NOT use for explaining existing queries, product documentation questions, distributed tracing or span analysis (use dt-obs-tracing).
Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as sys_query_history, sys_query_text, sys_connection_log, sys_query_detail, and sys_session_history. Applies when turning on S3 Tables log publishing for a cluster or namespace, confirming publishing status and locating the S3 Tables namespace, querying non-realtime data from Redshift system tables off-cluster at scale, or building dashboards for Redshift monitoring and auditing, especially for historical or high-volume system-table data beyond the in-cluster SYS_ view retention window. Trigger phrases: publish redshift system table log to s3 tables, enable-logging s3 tables, describe redshift logging status, query redshift system tables in athena or redshift, redshift log exports to iceberg.
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.