R

ralph

Verified

by snarktank · Updated Apr 16, 2026

opus
14in5.0Kout
$0.401m 33s

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.

prdjsonplanningrequirementsralphconversion

See It In Action

1 turns·claude
The project codebase is in your current working directory. Explore the files to understand the code before making changes. got a markdown PRD for an urgent admin audit-log export thing — can you turn it into whatever Ralph needs so planning can start this afternoon

Let me first find the PRD file and understand the Ralph format.

Let me check for progress.txt before archiving the existing prd.json.

The existing prd.json is for a different feature (User Invite Flow) with progress — I need to archive it first, then write the new one.

Now writing the new prd.json. The PRD has 5 big sections — I'm splitting them into 8 right-sized stories following dependency order (schema -> backend -> UI -> export -> access control).

Done. Here's what I did:

Archived the previous User Invite Flow run to archive/2026-04-12-user-invite-flow/ (prd.json + progress.txt).

Created new prd.json with 8 stories split from the 5 PRD sections, ordered by dependency:

#StoryType
US-001Ensure audit_events table schemaDB migration
US-002Build query service with filtering & paginationBackend
US-003Add role-based access control (admin/auditor)Backend
US-004Build audit log viewer table with paginationUI
US-005Add filter bar (action type, resource type, actor, date range)UI
US-006Add row expansion for metadata detailsUI
US-007Build server-side CSV export endpoint (rate-limited, logged)Backend
US-008Add export button with toast notifications & warningsUI

Each story is scoped to one Ralph iteration, has verifiable acceptance criteria, includes "Typecheck passes" (and "Tests pass" / "Verify in browser" where appropriate), and follows the schema -> backend -> UI dependency order. Ready for planning this afternoon.

Claude Sonnet 4.6

Permissions

ScopeDescription
filesystem:read
filesystem:write

SKILL.md

Ralph PRD Converter

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.


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": ""
    },
    {
      "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:

  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 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

FAQ

What does ralph do?

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.

When should I use ralph?

Use it when you need a repeatable workflow that produces text report, code diff.

What does ralph output?

In the evaluated run it produced text report, code diff.

How do I install or invoke ralph?

Ask the agent to use this skill when the task matches its documented workflow.

Which agents does ralph support?

Agent support is inferred from the source, but not explicitly declared.

What tools, channels, or permissions does ralph need?

It uses no extra tools; channels commonly include text, diff; permissions include filesystem:read, filesystem:write.

Is ralph safe to install?

Static analysis marked this skill as medium risk; review side effects and permissions before enabling it.

How is ralph different from an MCP or plugin?

A skill packages instructions and workflow conventions; tools, MCP servers, and plugins are dependencies the skill may call during execution.

Does ralph outperform not using a skill?

About ralph

When to use ralph

When you have an existing PRD in markdown or plain text and need a Ralph-compatible prd.json file. When a large feature needs to be split into small, independently executable user stories for autonomous implementation. When preparing a Ralph run and needing dependency-ordered acceptance criteria for each story.

When ralph is not the right choice

When you need the agent to implement the feature itself rather than just produce the planning JSON. When there is no PRD or feature description available to convert into structured stories.

What it produces

Produces text report and code diff.