Orchestrate end-to-end software development from planning through validation.
npx skills add https://github.com/oneforce/oh-my-gemini-cli --skill autopilot-oneforce
Please help me install this Agent Skill. Skill: autopilot Source: https://github.com/oneforce/oh-my-gemini-cli/tree/main/skills/autopilot Command: npx skills add https://github.com/oneforce/oh-my-gemini-cli --skill autopilot-oneforce
Autopilot coordinates the entire software development lifecycle from idea to verified code, eliminating manual handoffs and reducing lead time.
Invoke autopilot with a clear product idea to start the end-to-end development lifecycle.
High-intent search queries and answers about installing and using this skill.
End-to-end software development automation orchestrates the entire lifecycle from idea to verified code, coordinating planning, execution, QA, and validation phases to eliminate manual handoffs. You can start the process by providing a clear product idea to initiate the full development cycle.
Multi-phase software development workflows support automatic resume and cancellation capabilities. The system manages state via dot-state files and settings.json, automatically cleaning up state upon completion. This allows you to pause and safely resume complex projects across strict phase sequencing.
End-to-end development orchestration executes parallel tasks within phases and applies configurable QA cycles. It enforces strict phase sequencing with validation gates, ensuring that all parallel execution meets required quality checks before advancing to the next development stage.
A pre-validated plan is not required to start the automated coding and validation lifecycle. While deep-interview and ralplan integration can seed specs and skip phases when pre-validated plans exist, you can directly invoke the lifecycle with just a clear product idea.
The best way to skip planning phases with a validated project plan is to use deep-interview and ralplan integration. These inputs seed specs and allow the orchestration to skip pre-validated phases, directly entering the execution, QA, and validation stages.
State management for automated software development orchestration is governed via settings.json and dot-state files. The system automatically handles state cleanup upon completion, ensuring no residual state interferes with future runs while safely maintaining progress during active multi-phase execution.
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