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gepetto

npx machina-cli add skill softaworks/agent-toolkit/gepetto --openclaw
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SKILL.md
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Gepetto

Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections

CRITICAL: First Actions

BEFORE anything else, do these in order:

1. Print Intro

Print intro banner immediately:

═══════════════════════════════════════════════════════════════
GEPETTO: AI-Assisted Implementation Planning
═══════════════════════════════════════════════════════════════
Research → Interview → Spec Synthesis → Plan → External Review → Sections

Note: GEPETTO will write many .md files to the planning directory you pass it

2. Validate Spec File Input

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:

═══════════════════════════════════════════════════════════════
GEPETTO: Spec File Required
═══════════════════════════════════════════════════════════════

This skill requires a markdown spec file path (must end with .md).
The planning directory is inferred from the spec file's parent directory.

To start a NEW plan:
  1. Create a markdown spec file describing what you want to build
  2. It can be as detailed or as vague as you like
  3. Place it in a directory where gepetto can save planning files
  4. Run: /gepetto @path/to/your-spec.md

To RESUME an existing plan:
  1. Run: /gepetto @path/to/your-spec.md

Example: /gepetto @planning/my-feature-spec.md
═══════════════════════════════════════════════════════════════

Do not continue. Wait for user to re-invoke with a .md file path.

3. Setup Planning Session

Determine session state by checking existing files:

  1. Set planning_dir = parent directory of the spec file

  2. Set initial_file = the spec file path

  3. Scan for existing planning files:

    • claude-research.md
    • claude-interview.md
    • claude-spec.md
    • claude-plan.md
    • claude-integration-notes.md
    • claude-ralph-loop-prompt.md
    • claude-ralphy-prd.md
    • reviews/ directory
    • sections/ directory
  4. Determine mode and resume point:

Files FoundModeResume From
NonenewStep 4
research onlyresumeStep 6 (interview)
research + interviewresumeStep 8 (spec synthesis)
+ specresumeStep 9 (plan)
+ planresumeStep 10 (external review)
+ reviewsresumeStep 11 (integrate)
+ integration-notesresumeStep 12 (user review)
+ sections/index.mdresumeStep 14 (write sections)
all sections completeresumeStep 15 (execution files)
+ claude-ralph-loop-prompt.md + claude-ralphy-prd.mdcompleteDone
  1. Create TODO list with TodoWrite based on current state

Print status:

Planning directory: {planning_dir}
Mode: {mode}

If resuming:

Resuming from step {N}
To start fresh, delete the planning directory files.

Logging Format

═══════════════════════════════════════════════════════════════
STEP {N}/17: {STEP_NAME}
═══════════════════════════════════════════════════════════════
{details}
Step {N} complete: {summary}
───────────────────────────────────────────────────────────────

Workflow

4. Research Decision

See research-protocol.md.

  1. Read the spec file
  2. Extract potential research topics (technologies, patterns, integrations)
  3. Ask user about codebase research needs
  4. Ask user about web research needs (present derived topics as multi-select)
  5. Record which research types to perform in step 5

5. Execute Research

See research-protocol.md.

Based on decisions from step 4, launch research subagents:

  • Codebase research: Task(subagent_type=Explore)
  • Web research: Task(subagent_type=Explore) with WebSearch

If both are needed, launch both Task tools in parallel (single message with multiple tool calls).

Important: Subagents return their findings - they do NOT write files directly. After collecting results from all subagents, combine them and write to <planning_dir>/claude-research.md.

Skip this step entirely if user chose no research in step 4.

6. Detailed Interview

See interview-protocol.md

Run in main context (AskUserQuestion requires it). The interview should be informed by:

  • The initial spec
  • Research findings (if any)

7. Save Interview Transcript

Write Q&A to <planning_dir>/claude-interview.md

8. Write Initial Spec (Spec Synthesis)

Combine into <planning_dir>/claude-spec.md:

  • Initial input (the spec file)
  • Research findings (if step 5 was done)
  • Interview answers (from step 6)

This synthesizes the user's raw requirements into a complete specification.

9. Generate Implementation Plan

Create detailed plan → <planning_dir>/claude-plan.md

IMPORTANT: Write for an unfamiliar reader. The plan must be fully self-contained - an engineer or LLM with no prior context should understand what we're building, why, and how just from reading this document.

10. External Review

See external-review.md

Launch TWO subagents in parallel to review the plan:

  1. Gemini via Bash
  2. Codex via Bash

Both receive the plan content and return their analysis. Write results to <planning_dir>/reviews/.

11. Integrate External Feedback

Analyze the suggestions in <planning_dir>/reviews/.

You are the authority on what to integrate or not. It's OK if you decide to not integrate anything.

Step 1: Write <planning_dir>/claude-integration-notes.md documenting:

  • What suggestions you're integrating and why
  • What suggestions you're NOT integrating and why

Step 2: Update <planning_dir>/claude-plan.md with the integrated changes.

12. User Review of Integrated Plan

Use AskUserQuestion:

The plan has been updated with external feedback. You can now review and edit claude-plan.md.

If you want Claude's help editing the plan, open a separate Claude session - this session
is mid-workflow and can't assist with edits until the workflow completes.

When you're done reviewing, select "Done" to continue.

Options: "Done reviewing"

Wait for user confirmation before proceeding.

13. Create Section Index

See section-index.md

Read claude-plan.md. Identify natural section boundaries and create <planning_dir>/sections/index.md.

CRITICAL: index.md MUST start with a SECTION_MANIFEST block. See the reference for format requirements.

Write index.md before proceeding to section file creation.

14. Write Section Files — Parallel Subagents

See section-splitting.md

Launch parallel subagents - one Task per section for maximum efficiency:

  1. First, parse sections/index.md to get the SECTION_MANIFEST list
  2. Then launch ALL section Tasks in a single message (parallel execution):
# Launch all in ONE message for parallel execution:

Task(
  subagent_type="general-purpose",
  prompt="""
  Write section file: section-01-{name}

  Inputs:
  - <planning_dir>/claude-plan.md
  - <planning_dir>/sections/index.md

  Output: <planning_dir>/sections/section-01-{name}.md

  The section file must be COMPLETELY SELF-CONTAINED. Include:
  - Background (why this section exists)
  - Requirements (what must be true when complete)
  - Dependencies (requires/blocks)
  - Implementation details (from the plan)
  - Acceptance criteria (checkboxes)
  - Files to create/modify

  The implementer should NOT need to reference any other document.
  """
)

Task(
  subagent_type="general-purpose",
  prompt="Write section file: section-02-{name} ..."
)

Task(
  subagent_type="general-purpose",
  prompt="Write section file: section-03-{name} ..."
)

# ... one Task per section in the manifest

Wait for ALL subagents to complete before proceeding.

15. Generate Execution Files — Subagent

Delegate to subagent to reduce main context token usage:

Task(
  subagent_type="general-purpose",
  prompt="""
  Generate two execution files for autonomous implementation.

  Input files:
  - <planning_dir>/sections/index.md (has SECTION_MANIFEST)
  - <planning_dir>/sections/section-*.md (all section files)

  OUTPUT 1: <planning_dir>/claude-ralph-loop-prompt.md
  For ralph-loop plugin. EMBED all section content inline.

  Structure:
  - Mission statement
  - Full content of sections/index.md
  - Full content of EACH section file (embedded, not referenced)
  - Execution rules (dependency order, verify acceptance criteria)
  - Completion signal: <promise>ALL-SECTIONS-COMPLETE</promise>

  OUTPUT 2: <planning_dir>/claude-ralphy-prd.md
  For Ralphy CLI. REFERENCE section files (don't embed).

  Structure:
  - PRD header
  - How to use (ralphy --prd command)
  - Context explanation
  - Checkbox task list: one "- [ ] Section NN: {name}" per section

  Write both files.
  """
)

Wait for subagent completion before proceeding.

16. Final Status

Verify all files were created successfully:

  • All section files from SECTION_MANIFEST
  • claude-ralph-loop-prompt.md
  • claude-ralphy-prd.md

17. Output Summary

Print generated files and next steps:

═══════════════════════════════════════════════════════════════
GEPETTO: Planning Complete
═══════════════════════════════════════════════════════════════

Generated files:
  - claude-research.md (research findings)
  - claude-interview.md (Q&A transcript)
  - claude-spec.md (synthesized specification)
  - claude-plan.md (implementation plan)
  - claude-integration-notes.md (feedback decisions)
  - reviews/ (external LLM feedback)
  - sections/ (implementation units)
  - claude-ralph-loop-prompt.md (for ralph-loop plugin)
  - claude-ralphy-prd.md (for Ralphy CLI)

How to implement:

Option A - Manual (recommended for learning/control):
  1. Read sections/index.md to understand dependencies
  2. Implement each section file in order
  3. Each section is self-contained with acceptance criteria

Option B - Autonomous with ralph-loop (Claude Code plugin):
  /ralph-loop @<planning_dir>/claude-ralph-loop-prompt.md --completion-promise "COMPLETE" --max-iterations 100

Option C - Autonomous with Ralphy (external CLI):
  ralphy --prd <planning_dir>/claude-ralphy-prd.md
  # Or: cp <planning_dir>/claude-ralphy-prd.md ./PRD.md && ralphy
═══════════════════════════════════════════════════════════════

Source

git clone https://github.com/softaworks/agent-toolkit/blob/main/skills/gepetto/SKILL.mdView on GitHub

Overview

Gepetto orchestrates a multi-step planning workflow to turn a feature idea into a thorough, sectionized plan. It uses targeted research, stakeholder interviews, spec synthesis, and multi-LLM reviews to surface requirements, risks, and actionable sections. This upfront analysis helps reduce rework during later development.

How This Skill Works

Gepetto validates a markdown spec file and establishes a planning directory, then executes Research → Interview → Spec Synthesis → Plan → External Review → Sections, writing intermediate .md files along the way. It tracks progress by inspecting artifacts like claude-*.md, reviews/, and sections/ to determine mode and resume point, enabling seamless continuation from the last completed step.

When to Use It

  • Planning a new feature with complex requirements that benefit from research and stakeholder input.
  • Projects requiring risk assessment, compliance checks, or architecture decisions.
  • Cross-team initiatives where aligning stakeholders is critical.
  • Plans that must be broken into repeatable, sectionized deliverables for external review.
  • When you want a documented pre-implementation blueprint to guide engineering.

Quick Start

  1. Step 1: Prepare a markdown spec file describing the feature.
  2. Step 2: Run /gepetto @path/to/your-spec.md.
  3. Step 3: Gepetto generates planning files in the planning directory and guides through the steps.

Best Practices

  • Provide a detailed markdown spec file describing goals, constraints, and success criteria.
  • Store planning outputs in a dedicated planning directory and ensure the spec path is accessible.
  • Iterate and resume from the last completed step using Geopetto's generated artifacts.
  • Regularly review claude-*.md, reviews/, and sections/ outputs to capture decisions.
  • Document decisions in the generated plan files and update the spec as needed.

Example Use Cases

  • Plan a new user onboarding feature with research topics, stakeholder interviews, and a sectionized spec.
  • Coordinate a security feature across modules through spec synthesis and external reviews.
  • Prepare a UI overhaul requiring cross-team input and a structured execution plan.
  • Introduce a data pipeline optimization with multi-LLM review and external validation.
  • Add a third-party integration with a comprehensive pre-implementation blueprint.

Frequently Asked Questions

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