Skill: zhao202404/prd-skill20260303 (version 1.0.0)

--- name: prd description: Create and manage Product Requirements Documents (PRDs). Use when: (1) Creating structured task lists with user stories, (2) Specifying features with acceptance criteria, (3) Planning feature implementation for AI agents or human developers. author: wangzhao metadata: clawdbot: emoji: "📋" os: ["darwin", "linux"] --- # PRD Skill Create and manage Product Requirements Documents (PRDs) for feature planning. ## What is a PRD? A **PRD (Product Requirements Document)** is a structured specification that: 1. Breaks a feature into **small, independent user stories** 2. Defines **verifiable acceptance criteria** for each story 3. Orders tasks by **dependency** (schema → backend → UI) ## Quick Start 1. Create/edit `agents/prd.json` in the project 2. Define user stories with acceptance criteria 3. Track progress by updating `passes: false` → `true` ## prd.json Format ```json { "project": "MyApp", "branchName": "ralph/feature-name", "description": "Short description of the feature", "userStories": [ { "id": "US-001", "title": "Add priority field to database", "description": "As a developer, I need to store task priority.", "acceptanceCriteria": [ "Add priority column: 'high' | 'medium' | 'low'", "Generate and run migration", "Typecheck passes" ], "priority": 1, "passes": false, "notes": "" } ] } ``` ### Field Descriptions | Field | Description | |-------|-------------| | `project` | Project name for context | | `branchName` | Git branch for this feature (prefix with `ralph/`) | | `description` | One-line feature summary | | `userStories` | List of stories to complete | | `userStories[].id` | Unique identifier (US-001, US-002) | | `userStories[].title` | Short descriptive title | | `userStories[].description` | "As a [user], I want [feature] so that [benefit]" | | `userStories[].acceptanceCriteria` | Verifiable checklist items | | `userStories[].priority` | Execution order (1 = first) | | `userStories[].passes` | Completion status (`false` → `true` when done) | | `userStories[].notes` | Runtime notes added by agent | ## Story Sizing **Each story should be completable in one context window.** ### ✅ Right-sized: - 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 large (split these): - "Build the entire dashboard" → Split into: schema, queries, UI, filters - "Add authentication" → Split into: schema, middleware, login UI, session ## Story Ordering 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 ## Acceptance Criteria Must be verifiable, not vague. ### ✅ Good: - "Add `status` column to tasks table with default 'pending'" - "Filter dropdown has options: All, Active, Completed" - "Typecheck passes" ### ❌ Bad: - "Works correctly" - "User can do X easily" **Always include:** `"Typecheck passes"` ## Progress Tracking Update `passes: true` when a story is complete. Use `notes` field for runtime observations: ```json "notes": "Used IF NOT EXISTS for migrations" ``` ## Quick Reference | Action | Command | |--------|---------| | Create PRD | Save to `agents/prd.json` | | Check status | `cat prd.json | jq '.userStories[] | {id, passes}'` | | View incomplete | `jq '.userStories[] | select(.passes == false)' prd.json` | ## Resources See `references/` for detailed documentation: - `agent-usage.md` - How AI agents execute PRDs (Claude Code, OpenCode, etc.) - `workflows.md` - Sequential workflow patterns - `output-patterns.md` - Templates and examples


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