Convert PRDs to prd.json format for ralph-tui autonomous execution.
Works with
Extracts quality gates (universal and UI-specific commands) from PRD and appends them to every story's acceptance criteria
Outputs a flat JSON structure with \"name\" and \"userStories\" at root level, ready for ralph-tui run --prd <path>
Enforces right-sized stories completable in one agent iteration; splits oversized work into schema, backend, and UI layers
Sets up story dependencies via dependsOn array to
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionralph-tui-create-jsonExecute the skills CLI command in your project's root directory to begin installation:
Fetches ralph-tui-create-json from subsy/ralph-tui and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ralph-tui-create-json. Access via /ralph-tui-create-json in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Converts PRDs to prd.json format for ralph-tui autonomous execution.
Note: This skill is bundled with ralph-tui's JSON tracker plugin. Future tracker plugins (Linear, GitHub Issues, etc.) will bundle their own task creation skills.
⚠️ CRITICAL: The output MUST be a FLAT JSON object with "name" and "userStories" at the ROOT level. DO NOT wrap content in a "prd" object or use "tasks" array. See "Schema Anti-Patterns" section below.
Take a PRD (markdown file or text) and create a prd.json file:
ralph-tui run --prd <path>Look for the "Quality Gates" section in the PRD:
## Quality Gates
These commands must pass for every user story:
- `pnpm typecheck` - Type checking
- `pnpm lint` - Linting
For UI stories, also include:
- Verify in browser using dev-browser skill
Extract:
pnpm typecheck)If no Quality Gates section exists: Ask the user what commands should pass, or use a sensible default like npm run typecheck.
The JSON file MUST be a FLAT object at the root level:
{
"name": "[Project name from PRD or directory]",
"branchName": "ralph/[feature-name-kebab-case]",
"description": "[Feature description from PRD]",
"userStories": [
{
"id": "US-001",
"title": "[Story title]",
"description": "As a [user], I want [feature] so that [benefit]",
"acceptanceCriteria": [
"Criterion 1 from PRD",
"Criterion 2 from PRD",
"pnpm typecheck passes",
"pnpm lint passes"
],
"priority": 1,
"passes": false,
"notes": "",
"dependsOn": []
},
{
"id": "US-002",
"title": "[UI Story that depends on US-001]",
"description": "...",
"acceptanceCriteria": [
"...",
"pnpm typecheck passes",
"pnpm lint passes",
"Verify in browser using dev-browser skill"
],
"priority": 2,
"passes": false,
"notes": "",
"dependsOn": ["US-001"]
}
]
}
The following patterns are INVALID and will cause validation errors:
{
"prd": {
"name": "...",
"userStories": [...]
}
}
This wraps everything in a "prd" object. DO NOT DO THIS. The "name" and "userStories" fields must be at the ROOT level.
{
"name": "...",
"tasks": [...]
}
The array is called "userStories", not "tasks".
{
"metadata": {...},
"overview": {...},
"migration_strategy": {
"phases": [...]
}
}
Even if the PRD describes phases/milestones/sprints, you MUST flatten these into a single "userStories" array.
{
"userStories": [{
"id": "US-001",
"status": "open" // WRONG!
}]
}
Use "passes": false for incomplete stories, "passes": true for completed.
{
"name": "Android Kotlin Migration",
"branchName": "ralph/kotlin-migration",
"userStories": [
{"id": "US-001", "title": "Create Scraper interface", "passes": false, "dependsOn": []},
{"id": "US-002", "title": "Implement WeebCentralScraper", "passes": false, "dependsOn": ["US-001"]}
]
}
Each story must be completable in ONE ralph-tui iteration (~one agent context window).
Ralph-tui spawns a fresh agent instance per iteration with no memory of previous work. If a story is too big, the agent runs out of context before finishing.
Rule of thumb: If you can't describe the change in 2-3 sentences, it's too big.
dependsOnUse the dependsOn array to specify which stories must complete first:
{
"id": "US-002",
"title": "Create API endpoints",
"dependsOn": ["US-001"], // Won't be selected until US-001 passes
...
}
Ralph-tui will:
Correct dependency order:
Each story's acceptance criteria should include:
status column to tasks table with default 'open'"passes: false and empty notesralph/Default: ./tasks/prd.json (alongside the PRD markdown files)
This keeps all PRD-related files together in the tasks/ directory.
Or specify a different path - ralph-tui will use it with:
ralph-tui run --prd ./path/to/prd.json
Input PRD:
# PRD: Task Priority System
Add priority levels to tasks.
## Quality Gates
These commands must pass for every user story:
- `pnpm typecheck` - Type checking
- `pnpm lint` - Linting
For UI stories, also include:
- Verify in browser using dev-browser skill
## User Stories
### US-001: Add priority field to database
**Description:** As a developer, I need to store task priority.
**Acceptance Criteria:**
- [ ] Add priority column: 1-4 (default 2)
- [ ] Migration runs successfully
### US-002: Display priority badge on task cards
**Description:** As a user, I want to see task priority at a glance.
**Acceptance Criteria:**
- [ ] Badge shows P1/P2/P3/P4 with colors
- [ ] Badge visible without hovering
### US-003: Add priority filter dropdown
**Description:** As a user, I want to filter tasks by priority.
**Acceptance Criteria:**
- [ ] Filter dropdown: All, P1, P2, P3, P4
- [ ] Filter persists in URL
Output prd.json:
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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ralph-tui-create-json fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
ralph-tui-create-json is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ralph-tui-create-json has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added ralph-tui-create-json from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: ralph-tui-create-json is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend ralph-tui-create-json for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in ralph-tui-create-json — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
ralph-tui-create-json is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: ralph-tui-create-json is focused, and the summary matches what you get after install.
ralph-tui-create-json has been reliable in day-to-day use. Documentation quality is above average for community skills.
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