Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Claude Code config health check + plugin sync. Use when: auditing .claude/ structure, checking naming, verifying hook setup, detecting plugin version drift, syncing installed assets. Not for: skill quality (use skill-health-check), code review (use codex-code-review). Output: health report + fix recommendations.
Install plugin hooks into project .claude/ for persistent use without plugin loaded
Install plugin runner scripts into project .claude/scripts/ for persistent use without plugin loaded
Interactive Q&A to gather run context before executing a ResearchOps tree node step. Use when a node is about to be run to collect key context the agent will need (e.g. dataset path, design doc, hyperparameters).
Reduce token waste by batching tool calls and avoiding narration between sequential operations
Agent teams that run growth experiments and build their own playbook. GROWS loop: generate hypothesis, run experiment, observe signal, weigh verdict, stack playbook. 18 pre-built squads covering the full AARRR funnel. Your agents stop guessing and start learning.
Use when adding or editing QA skills in seed-skills/ or getting them onto the live qaskills.sh catalog, e.g. "add N new skills", "create a seed skill for X", "seed the database", "the skill page is empty", "skill 404s on the site".
Fast Rust-based headless browser automation CLI with Node.js fallback for AI agents, featuring navigation, clicking, typing, snapshots, and structured commands optimized for agent workflows.
Comprehensive evaluation patterns for AI agents including multi-turn conversation testing, LLM-as-judge frameworks, benchmark suites, regression detection, and systematic eval pipelines for measuring agent quality and safety.
Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.