AI Engineering

A passive observation sub-skill that scans session history to infer workflow patterns when triggered. It detects entry patterns, phases, branching, tools, pain points, and exit behavior, producing a structured workflow model for bundle generation.

Prepares accountable executive decisions, information triage, briefing, calendar choices, organizational sensing, and institutional memory without assuming authority. Use for chief of staff tasks like gatekeeping, decision memos, executive briefing, and strategic time allocation.

Design or refactor CLI tools for AI agent consumption with patterns for non-interactive execution, machine-readable output, idempotent operations, and progressive help discovery.

A structured product review framework that helps decide whether a product direction should continue, be verified, or be reframed, using UX3 dimensions (User, Evidence, Business). Ideal for AI-assisted product decision-making with human-in-the-loop.