Automate the end-to-end PRD lifecycle across multiple PRDs with deterministic phase transitions.
npx skills add https://github.com/buvis/home --skill run-autopilot
Please help me install this Agent Skill. Skill: run-autopilot Source: https://github.com/buvis/home/tree/main/.claude/skills/run-autopilot Command: npx skills add https://github.com/buvis/home --skill run-autopilot
Orchestrates the end-to-end PRD lifecycle automatically, reducing manual overhead and enabling faster iteration by coordinating catchup, planning, work, review, rework, blind review, doubt review, and completion across multiple PRDs.
Invoke /run-autopilot to begin the end-to-end PRD lifecycle automation for your current backlog.
High-intent search queries and answers about installing and using this skill.
Automating the PRD lifecycle across multiple requirements is done by orchestrating phases like catchup, planning, work, review, and rework autonomously. The Skill coordinates these deterministic transitions while tracking progress in a local state store.
You can manage state locally by tracking per-PRD progress, phase status, and batch progress in a local state store. This stateful execution supports dev, local, and autopilot environments to maintain deterministic workflow transitions.
Autonomous decision logging records auto-fix decisions, research-backed outcomes, and user-deferrable items during execution. These records are aggregated into batch reports and deferred logs for batch-end governance and review.
When ambiguity or blockers occur during PRD execution, the workflow triggers safety pauses and supports external stop-hook integration. This prevents autonomous operations from proceeding without necessary user input or resolution.
Automated PRD orchestration supports blind review and doubt review phases as part of its deterministic lifecycle. These phases are integrated alongside catchup, planning, work, rework, and completion to ensure comprehensive product requirement validation.
Handling batch-end reporting for multiple PRDs is managed by aggregating per-PRD outcomes into batch reports and deferred logs. This provides comprehensive governance over autonomous decisions made throughout the execution lifecycle.
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