What is gepetto?
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis. Source: cachemoney/agent-toolkit.
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
Quickly install gepetto AI skill to your development environment via command line
Source: cachemoney/agent-toolkit.
Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections
Check if user provided @file at invocation AND it's a spec file (ends with .md).
If NO @file was provided OR the path doesn't end with .md, output this and STOP:
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis. Source: cachemoney/agent-toolkit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/cachemoney/agent-toolkit --skill gepettoCreates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis. Source: cachemoney/agent-toolkit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/cachemoney/agent-toolkit --skill gepetto Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/cachemoney/agent-toolkit