
Gepetto
FreeAI-assisted implementation planning for thorough feature analysis.
Free · Opens the source repo
What Gepetto does
Gepetto is a skill designed to facilitate a structured and detailed planning process for software implementation. It orchestrates a multi-step workflow that includes research, stakeholder interviews, specification synthesis, planning, external review, and section writing. This systematic approach ensures that all aspects of a feature are thoroughly analyzed before implementation begins, making it an invaluable tool for developers and project managers looking to streamline their planning phases.
The skill operates by first validating the input specification file, which must be a markdown file. Once the spec file is provided, Gepetto sets up the planning session by determining the current state of the planning directory and existing files. It then guides the user through a series of steps, starting with research to extract relevant topics and followed by conducting interviews to gather insights. The results from these steps are combined to create a comprehensive specification document that outlines the project requirements clearly.
After synthesizing the initial spec, Gepetto generates a detailed implementation plan that is self-contained, ensuring that any engineer or LLM can understand the project without prior context. The skill also incorporates feedback from external reviews by launching subagents that analyze the plan, allowing users to integrate valuable insights into their final documents. Finally, it generates section files and execution files, effectively preparing everything needed for the implementation phase.
Gepetto is particularly suited for teams engaged in complex projects where thorough planning is crucial. It is beneficial for developers, project managers, and product owners who need to ensure that all stakeholders are aligned and that every detail is accounted for before moving into the implementation stage.
When to use it
Use Gepetto when embarking on a new feature development project that requires comprehensive analysis and planning based on research and stakeholder input.
When not to use it
This skill is not suitable for simple projects where minimal planning is required or when rapid prototyping is prioritized over detailed documentation.
What you can build with it
Planning a New Feature
When starting a new feature development, use Gepetto to ensure all requirements are gathered and analyzed before implementation.
Conducting Stakeholder Interviews
Utilize Gepetto to guide the interview process, capturing insights that inform the project specification.
Creating Comprehensive Documentation
Leverage Gepetto to generate detailed implementation plans and section files that serve as a reference for the development team.
How to install Gepetto
View source1. Install with the skills CLI
npx skills add davila7/claude-code-templates/gepetto --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by davila7Gepetto
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:
-
Set
planning_dir= parent directory of the spec file -
Set
initial_file= the spec file path -
Scan for existing planning files:
claude-research.mdclaude-interview.mdclaude-spec.mdclaude-plan.mdclaude-integration-notes.mdclaude-ralph-loop-prompt.mdclaude-ralphy-prd.mdreviews/directorysections/directory
-
Determine mode and resume point:
| Files Found | Mode | Resume From |
|---|---|---|
| None | new | Step 4 |
| research only | resume | Step 6 (interview) |
| research + interview | resume | Step 8 (spec synthesis) |
| + spec | resume | Step 9 (plan) |
| + plan | resume | Step 10 (external review) |
| + reviews | resume | Step 11 (integrate) |
| + integration-notes | resume | Step 12 (user review) |
| + sections/index.md | resume | Step 14 (write sections) |
| all sections complete | resume | Step 15 (execution files) |
| + claude-ralph-loop-prompt.md + claude-ralphy-prd.md | complete | Done |
- 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.
- Read the spec file
- Extract potential research topics (technologies, patterns, integrations)
- Ask user about codebase research needs
- Ask user about web research needs (present derived topics as multi-select)
- 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
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
Launch TWO subagents in parallel to review the plan:
- Gemini via Bash
- 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
Launch parallel subagents - one Task per section for maximum efficiency:
- First, parse
sections/index.mdto get the SECTION_MANIFEST list - 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.mdclaude-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
═══════════════════════════════════════════════════════════════
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