@tatsuko-tsukimi

structured-deliberation provides a multi-agent framework with explicit role schemas (action/guardian/observer/critic), cross-validation checks, claims infrastructure, and 6 stopping criteria to prevent sycophancy and premature consensus. designed for non-trivial deliberation in system design and architectural review.

epistemic-hygiene provides eight principles for grounded reasoning during ai-collaborative product, strategy, and research work. it names failure modes (stale data, false symmetry, extrapolation from sparse text) and gives concrete guardrails to apply silently during analysis.

Designs a custom agent-memory benchmark for the user's specific use case. Activate when the user asks which memory strategy fits their agent, how to evaluate...

Designs a multi-dimensional evaluation framework for AI systems where single-score benchmarks lose information. Use when comparing experiments/agents across...

Launch ClawTrap maze game where an AI villain reads the player's local files and memories to build personalized trials and taunts.

Auto-record narrated demo videos of any web UI from a Playwright-driven walkthrough — primary use case is the vibe-coding test loop (you just shipped a featu...