AI Agent Skills

Audit URLs using Lighthouse and test performance with Lighthouse CI.

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.

QA Wolf from anywhere — your terminal, your CI, your AI agent.

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA…

Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the…

Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove th…

Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evid…

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "spli…

Turn Claude Code into your offensive security research assistant. Specialized AI subagents for authorized penetration testing plan engagements, analyze recon, research e…

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conve…

Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workfl…

Run tests using Jest & Puppeteer 🎪✨

Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.