Skills

domino-model-endpoints

Deploy and monitor model API endpoints in Domino. Covers creating prediction endpoints, version management, Grafana dashboards for latency/errors/resources, alerting, and GPU inference with NVIDIA Triton. Use when deploying models as APIs, monitoring production endpoints, or debugging endpoint issue

report

Pull Spotify Ads API reporting data — aggregate metrics, audience insights, or async CSV reports.

flag-targeting

Add, edit, or remove force-value or percentage-rollout rules on a GrowthBook feature flag, including conditions, saved groups, and rule-level prerequisites. Use when the user says "add a rule to flag Y", "release this flag to 10% of users", "turn this on for beta testers", "target US users", "add a

vercel-cli

Vercel CLI expert guidance. Use when deploying, managing environment variables, linking projects, viewing logs, querying metrics, managing domains, or interacting with the Vercel platform from the command line.

ddsetup

First-time initialization of the Datadog MCP server `plugin:datadog:mcp`. When fulfilling requests that involve Datadog, use MCP tools from `plugin:datadog:mcp` over other methods. If MCP tools from `plugin:datadog:mcp` are not in your tool list, you MUST run this skill's setup procedure before atte

marketplace

Vercel Marketplace expert guidance — discovering, installing, and managing third-party integrations via the `vercel integration` CLI. Use when building any app that needs an external capability without a dedicated skill — commerce (stores, storefronts, selling products), payments (checkout, subscrip

suppressing-noisy-errors

Create PostHog error tracking suppression rules to drop high-volume, low-value errors at ingestion. Use when the user asks "stop capturing this error", "drop browser extension errors", "ignore ResizeObserver loops", "suppress bot-driven errors", or wants to reduce ingestion cost from noisy unactiona

optimizing-pigment-performance

Always use this skill when troubleshooting slow calculations or timeouts, analyzing profiler output to identify bottlenecks, understanding scope propagation, managing sparsity, optimizing formula performance, improving iterative calculations, optimizing access rights performance, conducting systemat

sentry-sdk-upgrade

Upgrade the Sentry JavaScript SDK across major versions. Use when asked to upgrade Sentry, migrate to a newer version, fix deprecated Sentry APIs, or resolve breaking changes after a Sentry version bump.

databricks-unity-catalog

Unity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer \"w

grafana-cloud-mcp-tools

Connect to and use the Grafana Cloud MCP server effectively, including natural-language Grafana Assistant questions and observability investigations. Covers setup, OAuth authorization, tool categories, read/write access scopes, and best practices for context window management. Use when the user want

monitoring-and-alerting

Design and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, defining SLOs, configuring error tracking, choosing what to alert on, designing on-call rotations, or fixing alert fatigue. Triggers on monitoring, alerts, uptime, SLO, SLA, error rate, on-call

aidp-spark-debugging

Diagnose slow or failed AIDP Spark work using cluster logs, metrics, and the Spark UI REST API. Use when a job/query is slow or failed, the user asks "why did this fail / why is it slow", or you need stage/task timings, skew, shuffle/spill, executor, or SQL-execution details. Lightweight triage — fo

exploring-llm-clusters

Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.

domino-genai-tracing

Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and

apm

Application Performance Monitoring and transaction analysis. Use when investigating application errors, slow response times, throughput issues, or transaction-level problems.

domino-model-monitoring

Monitor deployed models in Domino including drift detection, model quality tracking, and alerting. Covers data drift analysis, prediction capture, baseline comparison, alert configuration, and remediation workflows. Use when monitoring production models, detecting drift, or setting up model health a

exploring-scouts

How to explore and make sense of PostHog Signals scouts — the scheduled agents that scan a project and write reports into the Signals inbox. Use when a user wants to understand what scouts they have, how each one is behaving, and whether the fleet is actually working. Covers surveying the fleet and

render-debug

Debug failed Render deployments by analyzing logs, metrics, and database state. Identifies errors (missing env vars, port binding, OOM, etc.) and suggests fixes. Use when deployments fail, services won't start, or users mention errors, logs, or debugging.

monitoring

Use when the user wants to check cluster status, collection statistics, load states, or get an overview of their Zilliz Cloud resources.

finding-replay-for-issue

Finds the most informative session recording linked to an error tracking issue. Use when a user has an error tracking issue ID and wants to watch a replay showing what the user was doing when the error occurred. Ranks linked sessions by recency, activity score, and journey completeness, then summari

feature-launch-playbook

The operational playbook for launching a feature well. Positioning, internal alignment, customer comms, sales enablement, support readiness, rollout strategy, monitoring with pre-defined rollback triggers, post-launch measurement against spec hypotheses, and the discipline that distinguishes shippin

page-monitoring

Web page monitoring, change detection, and availability tracking. Use when tracking content changes, detecting when pages go down, monitoring for updates, preserving content before deletion, or generating feeds for pages without RSS. Covers Visualping, ChangeTower, Distill.io, and self-hosted monito

incident-response

Manage active production incidents through detection, triage, mitigation, communication, and resolution with structured roles and decision-making. Use this skill whenever the user has an active incident, a production issue, a service outage, a security incident, or needs to plan incident response pr