gepetto
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
What this skill does
# 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 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 |
5. 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](references/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](references/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](references/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](references/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](references/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](references/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 Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.