What problem does it solve? Complex multi-step tasks lose progress when conversation context is lost, and AI self-assessment of "done" is unreliable. This Skill moves execution state into persistent files under .plans/, turning completion into checkable, evidence-backed criteria instead of guesswork. ## Core Features & Use Cases - Plan建档 (Plan Creation): Generates plan.md (goals, completion criteria, guardrails, work items with status) and checklist.md (self-review checklist) in .plans/{date}-{slug}/ before work begins. - Evidence-Bound Progress Tracking: Work items can only be marked complete with verifiable evidence (command output, file:line references, test results); unverified changes stay in an explicit "changed but unverified" state. - Self-Review Gate: After completion, every checklist item including guardrails is verified with real runs; P0 failures block delivery with up to 3 fix rounds. - Use Case: When asked to fix a timeout bug across multiple files, the Skill creates a plan with guardrails (e.g., "no retry on non-idempotent endpoints"), tracks each work item with evidence, supports cross-session resumption, and runs a final self-review before handoff to acceptance verification. ## Quick Start Ask the AI to create a plan and track progress for your multi-file task, saying something like "create a plan document and track progress for this refactoring task".