Convert research and constraints into a structured implementation plan with artifacts.
npx skills add https://github.com/ssimhan/meal-planner --skill gepetto
Please help me install this Agent Skill. Skill: gepetto Source: https://github.com/ssimhan/meal-planner/tree/main/skills/planning/gepetto Command: npx skills add https://github.com/ssimhan/meal-planner --skill gepetto
Gepetto orchestrates a disciplined, multi-step planning process that transforms scattered research, interviews, and constraints into a concrete implementation plan and organized artifacts.
To begin, run the gepetto workflow to generate planning artifacts from your research notes and constraints.
High-intent search queries and answers about installing and using this skill.
Workflow orchestration transforms scattered research notes, interviews, and constraints into a concrete implementation plan. It coordinates a multi-step process to generate organized artifacts like claude-spec.md and claude-plan.md.
The planning workflow generates dedicated artifacts in a planning directory, including claude-research.md, claude-interview.md, claude-spec.md, claude-plan.md, and organized sections. These files collectively form a reusable project blueprint.
Yes, AI agents orchestrate spec synthesis by coordinating a structured workflow. They process your research and constraints to produce a concrete implementation plan and section-based implementation units for your project.
The best way to formalize requirements is running a disciplined planning workflow that processes research, interviews, and specifications. It outputs a coherent strategy with dedicated planning artifacts and a reusable blueprint.
Yes, planning orchestration includes an external review step to produce a coherent strategy. This review acts as a constraint mechanism to ensure the synthesized implementation plan and organized artifacts are robust.
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