#601

Global Rank · of 601 Skills

gepetto AI Agent Skill

View Source: cachemoney/agent-toolkit

Critical

Installation

npx skills add cachemoney/agent-toolkit --skill gepetto

Installs

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:

Set planning_dir = parent directory of the spec file
Set initial_file = the spec file path
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
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

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:

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

See section-splitting.md

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

First, parse sections/index.md to 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.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
═══════════════════════════════════════════════════════════════

Installs

Installs 6

Global Rank #601 of 601

Security Audit

ath High

socket Safe

Alerts: 0 Score: 90

snyk Medium

View Source

cachemoney/agent-toolkit

How to use this skill

Install gepetto by running npx skills add cachemoney/agent-toolkit --skill gepetto in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

The skill enhances your agent's understanding of gepetto, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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