agentsclimarketplace

Gepetto

Skill aiskillstore/marketplace/skills/softaworks/gepetto

Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

Install
npx -y skills add aiskillstore/marketplace --skill gepetto

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

SKILL.md

11.9 KB, ~2.8k tokens by cl100k_base, as published. Nobody here has run it

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
═══════════════════════════════════════════════════════════════

Gives 0 of the 12 instructions most research analysis skills give in ~2.8k tokens

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-06

  • generate a markdown reportin 32 of 1063, across 17 files
  • cite each claim's sourcein 31 of 1063, across 14 files
  • define the ideal customer profilein 20 of 1063, across 2 files
  • search for companies matching the criteriain 20 of 1063, across 2 files
  • assign a fit score from one to tenin 20 of 1063, across 2 files
  • format results in a scannable markdown templatein 20 of 1063, across 2 files
  • analyze the codebase to understand the productin 19 of 1063, across 1 file
  • ask clarifying questions about the value propositionin 19 of 1063, across 1 file
  • look for signals of immediate needin 19 of 1063, across 1 file
  • identify the target decision maker rolein 19 of 1063, across 1 file
  • suggest a personalized contact strategyin 19 of 1063, across 1 file
  • provide conversation starters for outreachin 19 of 1063, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.