ralph

name	ralph
description	Convert PRDs to prd.json format and run the Ralph autonomous agent system. Use when converting PRDs to Ralph format OR running Ralph to execute user stories. Triggers on: convert this prd, turn this into ralph format, create prd.json, ralph json, run ralph, start ralph, execute ralph.
user-invocable	true

Ralph - Autonomous Agent System

Ralph is an autonomous agent that executes user stories from a prd.json file. This skill covers both:

1. Converting PRDs to the prd.json format Ralph requires
2. Running Ralph using the ./scripts/ralph.sh script

---

Running Ralph

Execute Ralph using the script at ./scripts/ralph.sh:

# Run with default settings (amp tool, 10 iterations)
./scripts/ralph.sh

# Run with Claude Code instead of amp
./scripts/ralph.sh --tool claude

# Run with custom max iterations
./scripts/ralph.sh 20

# Combine options
./scripts/ralph.sh --tool claude 15

Options:

• --tool amp|claude - Choose which AI tool to use (default: amp)
• [max_iterations] - Maximum iteration count (default: 10)

How it works:

1. Reads prd.json from the script directory
2. Spawns a fresh AI instance per iteration (no memory between iterations)
3. Each iteration works on the next incomplete user story
4. Archives previous runs when branch name changes
5. Exits when all stories pass or max iterations reached

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PRD Conversion

Converts existing PRDs to the prd.json format that Ralph uses for autonomous execution.

---

The Job

Take a PRD (markdown file or text) and convert it to prd.json in your ralph directory.

---

Output Format

{
  "project": "[Project Name]",
  "branchName": "ralph/[feature-name-kebab-case]",
  "description": "[Feature description from PRD title/intro]",
  "userStories": [
    {
      "id": "US-001",
      "title": "[Story title]",
      "description": "As a [user], I want [feature] so that [benefit]",
      "acceptanceCriteria": [
        "Criterion 1",
        "Criterion 2",
        "Typecheck passes"
      ],
      "priority": 1,
      "passes": false,
      "notes": ""
    }
  ]
}

---

Story Size: The Number One Rule

Each story must be completable in ONE Ralph iteration (one context window).

Ralph spawns a fresh Amp instance per iteration with no memory of previous work. If a story is too big, the LLM runs out of context before finishing and produces broken code.

Right-sized stories:

• Add a database column and migration
• Add a UI component to an existing page
• Update a server action with new logic
• Add a filter dropdown to a list

Too big (split these):

• "Build the entire dashboard" - Split into: schema, queries, UI components, filters
• "Add authentication" - Split into: schema, middleware, login UI, session handling
• "Refactor the API" - Split into one story per endpoint or pattern

Rule of thumb: If you cannot describe the change in 2-3 sentences, it is too big.

---

Story Ordering: Dependencies First

Stories execute in priority order. Earlier stories must not depend on later ones.

Correct order:

1. Schema/database changes (migrations)
2. Server actions / backend logic
3. UI components that use the backend
4. Dashboard/summary views that aggregate data

Wrong order:

1. UI component (depends on schema that does not exist yet)
2. Schema change

---

Acceptance Criteria: Must Be Verifiable

Each criterion must be something Ralph can CHECK, not something vague.

Good criteria (verifiable):

• "Add status column to tasks table with default 'pending'"
• "Filter dropdown has options: All, Active, Completed"
• "Clicking delete shows confirmation dialog"
• "Typecheck passes"
• "Tests pass"

Bad criteria (vague):

• "Works correctly"
• "User can do X easily"
• "Good UX"
• "Handles edge cases"

Always include as final criterion:

"Typecheck passes"

For stories with testable logic, also include:

"Tests pass"

For stories that change UI, also include:

"Verify in browser using dev-browser skill"

Frontend stories are NOT complete until visually verified. Ralph will use the dev-browser skill to navigate to the page, interact with the UI, and confirm changes work.

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Conversion Rules

1. Each user story becomes one JSON entry
2. IDs: Sequential (US-001, US-002, etc.)
3. Priority: Based on dependency order, then document order
4. All stories: passes: false and empty notes
5. branchName: Derive from feature name, kebab-case, prefixed with ralph/
6. Always add: "Typecheck passes" to every story's acceptance criteria

---

Splitting Large PRDs

If a PRD has big features, split them:

Original:

"Add user notification system"

Split into:

1. US-001: Add notifications table to database
2. US-002: Create notification service for sending notifications
3. US-003: Add notification bell icon to header
4. US-004: Create notification dropdown panel
5. US-005: Add mark-as-read functionality
6. US-006: Add notification preferences page

Each is one focused change that can be completed and verified independently.

---

Example

Input PRD:

# Task Status Feature

Add ability to mark tasks with different statuses.

## Requirements
- Toggle between pending/in-progress/done on task list
- Filter list by status
- Show status badge on each task
- Persist status in database

Output prd.json:

{
  "project": "TaskApp",
  "branchName": "ralph/task-status",
  "description": "Task Status Feature - Track task progress with status indicators",
  "userStories": [
    {
      "id": "US-001",
      "title": "Add status field to tasks table",
      "description": "As a developer, I need to store task status in the database.",
      "acceptanceCriteria": [
        "Add status column: 'pending' | 'in_progress' | 'done' (default 'pending')",
        "Generate and run migration successfully",
        "Typecheck passes"
      ],
      "priority": 1,
      "passes": false,
      "notes": ""
    },
    
       
       
       
       
        
        
        
        
      
       
       
       
    
    
       
       
       
       
        
        
        
        
        
      
       
       
       
    
    
       
       
       
       
        
        
        
        
      
       
       
       
    
  

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Archiving Previous Runs

Before writing a new prd.json, check if there is an existing one from a different feature:

1. Read the current prd.json if it exists
2. Check if branchName differs from the new feature's branch name
3. If different AND progress.txt has content beyond the header:
   • Create archive folder: archive/YYYY-MM-DD-feature-name/
   • Copy current prd.json and progress.txt to archive
   • Reset progress.txt with fresh header

The ./scripts/ralph.sh script handles this automatically when you run it, but if you are manually updating prd.json between runs, archive first.

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Checklist Before Saving

Before writing prd.json, verify:

• Previous run archived (if prd.json exists with different branchName, archive it first)
• Each story is completable in one iteration (small enough)
• Stories are ordered by dependency (schema to backend to UI)
• Every story has "Typecheck passes" as criterion
• UI stories have "Verify in browser using dev-browser skill" as criterion
• Acceptance criteria are verifiable (not vague)
• No story depends on a later story