Agent skill
ralph
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.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/ralph-gannonh-kata-agents
SKILL.md
Ralph - Autonomous Agent System
Ralph is an autonomous agent that executes user stories from a prd.json file. This skill covers both:
- Converting PRDs to the prd.json format Ralph requires
- Running Ralph using the
./scripts/ralph.shscript
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:
- Reads
prd.jsonfrom the script directory - Spawns a fresh AI instance per iteration (no memory between iterations)
- Each iteration works on the next incomplete user story
- Archives previous runs when branch name changes
- Exits when all stories pass or max iterations reached
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:
- Schema/database changes (migrations)
- Server actions / backend logic
- UI components that use the backend
- Dashboard/summary views that aggregate data
Wrong order:
- UI component (depends on schema that does not exist yet)
- Schema change
Acceptance Criteria: Must Be Verifiable
Each criterion must be something Ralph can CHECK, not something vague.
Good criteria (verifiable):
- "Add
statuscolumn 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.
Conversion Rules
- Each user story becomes one JSON entry
- IDs: Sequential (US-001, US-002, etc.)
- Priority: Based on dependency order, then document order
- All stories:
passes: falseand emptynotes - branchName: Derive from feature name, kebab-case, prefixed with
ralph/ - 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:
- US-001: Add notifications table to database
- US-002: Create notification service for sending notifications
- US-003: Add notification bell icon to header
- US-004: Create notification dropdown panel
- US-005: Add mark-as-read functionality
- 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": ""
},
{
"id": "US-002",
"title": "Display status badge on task cards",
"description": "As a user, I want to see task status at a glance.",
"acceptanceCriteria": [
"Each task card shows colored status badge",
"Badge colors: gray=pending, blue=in_progress, green=done",
"Typecheck passes",
"Verify in browser using dev-browser skill"
],
"priority": 2,
"passes": false,
"notes": ""
},
{
"id": "US-003",
"title": "Add status toggle to task list rows",
"description": "As a user, I want to change task status directly from the list.",
"acceptanceCriteria": [
"Each row has status dropdown or toggle",
"Changing status saves immediately",
"UI updates without page refresh",
"Typecheck passes",
"Verify in browser using dev-browser skill"
],
"priority": 3,
"passes": false,
"notes": ""
},
{
"id": "US-004",
"title": "Filter tasks by status",
"description": "As a user, I want to filter the list to see only certain statuses.",
"acceptanceCriteria": [
"Filter dropdown: All | Pending | In Progress | Done",
"Filter persists in URL params",
"Typecheck passes",
"Verify in browser using dev-browser skill"
],
"priority": 4,
"passes": false,
"notes": ""
}
]
}
Archiving Previous Runs
Before writing a new prd.json, check if there is an existing one from a different feature:
- Read the current
prd.jsonif it exists - Check if
branchNamediffers from the new feature's branch name - If different AND
progress.txthas content beyond the header:- Create archive folder:
archive/YYYY-MM-DD-feature-name/ - Copy current
prd.jsonandprogress.txtto archive - Reset
progress.txtwith fresh header
- Create archive folder:
The ./scripts/ralph.sh script handles this automatically when you run it, but if you are manually updating prd.json between runs, archive first.
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
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