Worktrunk release workflow. Use when user asks to "do a release", "release a new version", "cut a release", or wants to publish a new version to crates.io and GitHub.

Author and review freeCodeCamp /news tutorials. Use when writing an fCC tutorial, a Hashnode draft, or a dual-submit checklist. It does not set kit house voice (that's `docs-writing-style`).

Execute and monitor Harness pipeline runs via MCP tools. Find pipelines, provide runtime inputs, trigger executions, monitor progress, handle approvals, retry failures, and abort running or stuck executions. Use when asked to run a pipeline, execute a deployment, trigger a build, start a pipeline, deploy a service, check execution status, approve a pipeline, or abort/stop/interrupt executions. Trigger phrases: run pipeline, execute pipeline, deploy, start build, trigger pipeline, check execution, approve deployment, retry failed pipeline, abort execution, stop pipeline, interrupt execution, kill stuck pipeline.

Analyze pull request impact on Harness pipelines via MCP. Assess PR pipeline impact by identifying which pipelines, services, and environments are affected by code changes. Perform security-focused PR reviews checking for secrets, vulnerabilities, and compliance. Track PRs from merge through deployment to production verification. Use when asked to analyze PR impact, review PR security, or track a PR to production. Trigger phrases: PR impact, pull request analysis, PR security review, PR to production, merge impact, deployment tracking, code change impact, PR pipeline, which pipelines affected.

Generate audit reports and compliance trails using Harness audit trail data via MCP v2 tools. Track user actions, resource changes, authentication events, and access patterns across accounts, organizations, and projects. Use when asked to audit activity, generate compliance reports, investigate security incidents, review user actions, check change logs, or produce SOC2/GDPR/HIPAA audit evidence. Trigger phrases: audit report, audit trail, compliance audit, user activity log, change log, access audit, security investigation, who changed what, audit events.

Thin compatibility entrypoint for creating a new Harness FME experiment. Invokes manage-experiments' Create experiment flow directly - same scope, parent/environment resolution, hypothesis, metrics, treatments, window, and rule - and returns the created experiment id plus verification. Use when asked to create an experiment, set up an A/B test, or design a new experiment. Do NOT use for updating, pausing, resuming, completing, archiving, or deleting an experiment (manage-experiments), or for explaining results (review-experiment-results). Trigger phrases: create experiment, set up an A/B test, design an experiment, launch a test, new experiment for X.

Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.

Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.

Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.

Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.

Choose real starting numbers for active-stage and queue-stage WIP limits in a human-agent workflow, rather than a universal formula or people-divided-by-two. Interviews you on workflow, human-agent topology, agent autonomy, shared constraints and replenishment evidence; computes candidate limits and cross-checks them with Little's Law; returns one starting configuration translated into board and agent pull policies. Use when agents write much of the code and existing WIP limits no longer describe the system. For the prior question of whether flow metrics would help you at all, use flow-metrics-self-assessment. If the question is broad — AI pilots with no clear return, or "where do we start" — run ai-activity-to-impact first; it finds the constraint and routes here.

Find out whether your AI work is producing business traction or AI Theater, using evidence from what you have actually shipped rather than self-report. Places the organisation on behavioural ladders across strategic focus, execution model, team integration and pragmatic mindset, names the binding constraint, and ends in one 2-4 week experiment. Use when there is a lot of AI activity and no defensible line to a business outcome, before an AI budget or steering-committee conversation, or when someone asks how the AI programme is going and the honest answer is a list of pilots. If the question is broad — AI pilots with no clear return, or "where do we start" — run ai-activity-to-impact first; it triages and routes here.

MLflow 3 GenAI agent evaluation. Use when writing mlflow.genai.evaluate() code, creating @scorer functions, using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), building eval datasets from traces, setting up trace ingestion and production monitoring, aligning judges with MemAlign from domain expert feedback, or running optimize_prompts() with GEPA for automated prompt improvement.

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, organizing workflows into folders, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns. IMPORTANT — Always consult this skill before calling any n8n-mcp tool — it prevents common mistakes like wrong nodeType formats, incorrect parameter structures, and inefficient tool usage. If the user mentions n8n, workflows, nodes, or automation and you have n8n MCP tools available, use this skill first.

Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.

Video editing with ffmpeg including cutting, trimming, concatenating segments, and re-encoding. Use when working with video files (.mp4, .mkv, .avi) for: removing segments, joining clips, extracting portions, or any video manipulation task.

Write a TECH.md spec for a significant Warp feature after researching the current codebase and implementation constraints. Use when the user asks for a technical spec, implementation plan, or architecture doc tied to a product spec.

Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.

Automate database backup processes with scheduling, compression, and encryption. Supports PostgreSQL (pg_dump), MySQL (mysqldump), MongoDB (mongodump), and SQLite. Generates production-ready backup scripts with retention policies and restore procedures. Trigger: "automate database backups", "schedule backups", "create backup script", "disaster recovery". Use when working with automating database backups. Trigger with 'automating', 'database', 'backups'.