A collection of agent skills that inject team-specific context into coding agents at session start, improving collaboration and adherence to conventions.

An interview-driven meta system prompt and installable skill that scaffolds a CEO-orchestrated sub-agent architecture with a document system and session lifecycle for autonomous agent-run projects.

A governance skill pack that gives AI coding agents a constitution, review loop, and shell-command guardrails for multi-agent and solo workflows.

Scientific research engine with adversarial review, tree search, and serendipity detection. Use when: exploring hypotheses, validating findings against literature, running computational experiments with quality gates, or hunting for unexpected discoveries. Do NOT use for simple Q&A, code editing, or non-research tasks.

Scientific research engine with agentic tree search. Infinite loops until discovery, rigorous tracking, adversarial review, serendipity preserved.