What problem does it solve? When a task matches no existing playbook—such as a large migration across many call sites, an ambitious multi-part change, or work a human reviews after stepping away—ad-hoc execution produces unverifiable results and no decision trail. This Skill designs a rigorous, auditable workflow before any code is written. ## Core Features & Use Cases - Workflow Design: Frames the task with a falsifiable definition of done, quantified scope, and a rigor level scaled to risk, then decomposes the work into atomic, independently-landable units sequenced riskiest-first. - Hypothesis Loop: Runs each unit as an experiment—state a hypothesis, make the smallest change, verify against the predicate on the real artifact, and keep or revert based on evidence. - Audit Trail: Logs every decision and unit in a canonical TSV via the show-me-your-work skill, with evidence links a reviewer can re-run, so the human can trust the work after stepping away. - Use Case: Migrating an API across dozens of call sites: the Skill builds a verification harness from the pre-change baseline, sequences the migration units, verifies each one, and commits a decision trail alongside the diff for PR review. ## Quick Start Ask the AI to use $figure-it-out to plan and execute your large migration with a verifiable audit trail.
