What problem does it solve?
Coordinating long-running, multi-step development work (refactors, tech-debt cleanup, feature implementation) with AI agents is error-prone: plans drift, verification steps get skipped, and progress state gets lost. This Skill turns a development goal into a structured roadmap plus a mission config, then drives the mission-driver engine through a CHECK → REVIEW_PLANS → EXEC_PLANS → DRAFT_PLANS → DEEP_AUDIT loop until the roadmap is done.
Core Features & Use Cases
- Roadmap authoring: Generates a structured roadmap (
docs/backlog/{slug}-roadmap.md) with work items sized to single execution plans, dependency graphs, and a single dynamic state block.
- Mission config generation: Creates and validates
missions/<name>.json (via the draft command or by hand) with stack-agnostic test/build/lint commands for Node, Python, Java, Go, or Rust projects.
- Autonomous loop execution and monitoring: Launches, resumes, and monitors missions via
tools/mission-driver.sh, with a browser dashboard, run-state inspection, graceful interrupt/resume, orphan-process cleanup, and postmortem analysis.
- Use Case: You need to refactor an auth module across 15 files with tests kept green. Describe the goal, let the skill draft the roadmap and mission config, validate with
mission-check.mjs, then run the mission and monitor it at localhost:9300 while the engine drafts plans, executes them, and audits the results.
Quick Start
Ask the AI to create a roadmap and mission for your development goal, then run ./tools/mission-driver.sh run <mission-name> after validating the generated mission config.