accountable-engineerin…
Use explicit human checkpoints for architecture, security, rollout, or operational decisions.
Convert PRDs to prd.json format for the Ralph autonomous agent system
$ npx -y skills add jellydn/my-ai-tools --skill ralph --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ralphContext preview
The summary Claude sees to decide when to auto-load this skill.
Convert PRDs to prd.json format for the Ralph autonomous agent system
name: ralph description: "Convert PRDs to prd.json format for the Ralph autonomous agent system" license: MIT compatibility: cline, claude, opencode, amp, codex, gemini, cursor, pi hint: Use when converting PRDs to prd.json format for Ralph autonomous agent system user-invocable: true disable-model-invocation: true metadata: audience: all workflow: product
Converts existing PRDs to the prd.json format that Ralph uses for autonomous execution.
---
Take a PRD (markdown file or text) and convert it to `prd.json` in your ralph directory.
---
{
"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": ""
}
]
}---
**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.
**Rule of thumb:** If you cannot describe the change in 2-3 sentences, it is too big.
---
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
---
Each criterion must be something Ralph can CHECK, not something vague.
"Typecheck passes"
For stories with testable logic, also include:
"Tests pass"
"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.
---
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
---
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.
---
**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 dropdownPortable, source-controlled configuration for AI coding assistants. my-ai-tools installs one consistent set of agent guidelines, skills, commands, hooks, MCP servers, and tool settings across supported AI coding assistants.
Use explicit human checkpoints for architecture, security, rollout, or operational decisions.
Record architecture decisions with ADRs — captures why, alternatives considered, and consequences
Use when monitoring an open GitHub PR for CI failures, review feedback, mergeability, and safe retries or fixes.
Inspect history and architecture for hidden constraints before risky cross-cutting changes.
Build an interactive report or experiment when the user asks to explore model capabilities.
Audit a diff for structural maintainability and unnecessary complexity.