---

name: prd-analyzer description: Analyzes PRD documents, concept briefs, or feature specs and creates structured implementation plans with visual kanban tracking. Breaks requirements into epics, stories, and tasks with dependencies and estimates. Outputs to .claude/ folder for integration with project-harness and other skills. Generates PROJECT.md for shared project context.

PRD Analyzer & Implementation Planner

Transform product requirements into actionable implementation plans with visual kanban tracking.

Integrates with:

• product-manager — Audits completeness, adds remediation tasks
• project-harness — Reads PROJECT.md, manages work sessions
• ux-design, api-design, etc. — Assigned to specific features

Process Overview

CopyPRD/Brief → Analysis → Task Breakdown → .claude/ Output
    │           │            │              │
 Upload    Extract       Epic →         PROJECT.md
  doc      scope &      Story →         tasks.db
          features      Task            features.json
                                        kanban.html

Output Location

All outputs go to .claude/ folder in the project root:

Copy.claude/
├── PROJECT.md          ← Project context (all skills read this)
├── tasks.db            ← SQLite database (source of truth)
├── features.json       ← Feature definitions with skill assignments
├── kanban.html         ← Interactive board
├── progress.md         ← Session progress tracking
└── implementation-plan.md  ← Markdown summary

---

Quick Start

1. Analyze the Document

When given a PRD or concept brief:

Copy1. Read the entire document
2. Extract: Goals, Features, Constraints, Dependencies
3. Identify scope boundaries (in/out)
4. Note technical requirements and assumptions
5. Assign skills to features based on type

2. Create Task Breakdown

Structure work hierarchically:

CopyEpic (large feature area)
├── Story (user-facing capability)
│   ├── Task (implementable unit, 1-8 hours)
│   ├── Task
│   └── Task
└── Story
    └── Tasks...

3. Generate Outputs

Create all files in .claude/:

• PROJECT.md — Shared context for all skills
• tasks.db — SQLite database with full task structure
• features.json — Feature list with metadata
• kanban.html — Interactive board (open in browser)

---

PROJECT.md Generation

The most important output — shared context for all skills.

Template

Copy# Project: [Name]

## Overview
[1-2 sentence description from PRD]

## Status
- **Phase**: Planning | Design | Implementation | Polish | Launch
- **Created**: [Date]
- **Last Updated**: [Date]
- **Overall Progress**: 0/[N] stories complete

## Metrics
| Metric | Count |
|--------|-------|
| Epics | [N] |
| Stories | [N] |
| Estimated Hours | [N] |
| Estimated Days | [N] |

## Tech Stack
- **Frontend**: [Framework]
- **Backend**: [Framework]
- **Database**: [Database]
- **Hosting**: [Platform]

## Feature Overview

| ID | Feature | Priority | Skill | Status |
|----|---------|----------|-------|--------|
| F001 | [Name] | P0 | [skill] | planned |
| F002 | [Name] | P0 | [skill] | planned |
| ... | ... | ... | ... | ... |

## Skill Assignments

| Skill | Features | Status |
|-------|----------|--------|
| ux-design | F001, F005, F012 | pending |
| api-design | F002, F003, F007 | pending |
| aesthetic-ui-designer | F001, F005 | blocked by ux-design |

## Current Gaps
[Updated by product-manager after audit]

## Next Actions
1. [First recommended action]
2. [Second recommended action]

## Key Files
- PRD: [path or "uploaded"]
- Tasks DB: `.claude/tasks.db`
- Kanban: `.claude/kanban.html`

## Session Log
| Date | Session | Completed | Notes |
|------|---------|-----------|-------|
| [Date] | prd-analyzer | PROJECT.md, tasks.db | Initial setup |

---

Skill Assignment

Assign skills to features based on their nature.

Skill Mapping

Assignment Rules

1. UX before UI: Features needing design get ux-design first
2. API before Frontend: Data-dependent features get api-design first
3. Audit at end: All features get product-manager audit
4. Accessibility check: User-facing features get accessibility-auditor

In features.json

Copy{
  "features": [
    {
      "id": "F001",
      "title": "Survey Studio",
      "priority": "P0",
      "assigned_skills": ["ux-design", "aesthetic-ui-designer"],
      "skill_order": ["ux-design", "aesthetic-ui-designer"],
      "current_skill": null,
      "audit_level": 0,
      "stories": ["story-001-01", "story-001-02", ...]
    }
  ]
}

---

Analysis Framework

Document Parsing

Extract these elements from any PRD/brief:

Scope Classification

For each feature, classify:

CopyP0 - Must Have (MVP, launch blocker)
P1 - Should Have (important, not blocking)
P2 - Nice to Have (future iteration)
P3 - Out of Scope (explicitly excluded)

Ambiguity Detection

Flag unclear requirements:

Copy## Ambiguities Identified

1. **User authentication** — SSO required? Which providers?
2. **Data export** — Format not specified (CSV? JSON? Excel?)
3. **Mobile support** — Responsive web or native apps?

Recommend: Clarify before implementation planning.

---

Database Schema

Updated Schema with Audit Fields

Copy-- Enable foreign keys
PRAGMA foreign_keys = ON;

-- Projects table
CREATE TABLE IF NOT EXISTS projects (
    id TEXT PRIMARY KEY,
    name TEXT NOT NULL,
    description TEXT,
    phase TEXT DEFAULT 'planning' 
        CHECK(phase IN ('planning', 'design', 'implementation', 'polish', 'launch')),
    tech_stack TEXT,  -- JSON: {frontend, backend, database, hosting}
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Epics: Large feature areas
CREATE TABLE IF NOT EXISTS epics (
    id TEXT PRIMARY KEY,
    project_id TEXT REFERENCES projects(id) ON DELETE CASCADE,
    title TEXT NOT NULL,
    description TEXT,
    priority TEXT CHECK(priority IN ('P0', 'P1', 'P2', 'P3')) DEFAULT 'P1',
    status TEXT CHECK(status IN ('planned', 'in_progress', 'completed', 'cancelled')) DEFAULT 'planned',
    
    -- Skill assignment
    assigned_skills TEXT,      -- JSON array: ["ux-design", "api-design"]
    skill_order TEXT,          -- JSON array: order to run skills
    current_skill TEXT,        -- Currently active skill
    
    -- Audit fields (updated by product-manager)
    audit_level INTEGER DEFAULT 0 
        CHECK(audit_level BETWEEN 0 AND 5),
    audit_date TEXT,
    audit_gaps TEXT,           -- JSON array: ["no_frontend", "no_navigation"]
    
    color TEXT,
    sort_order INTEGER DEFAULT 0,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Stories: User-facing capabilities
CREATE TABLE IF NOT EXISTS stories (
    id TEXT PRIMARY KEY,
    epic_id TEXT REFERENCES epics(id) ON DELETE CASCADE,
    title TEXT NOT NULL,
    description TEXT,
    user_story TEXT,
    acceptance_criteria TEXT,
    estimate_days REAL,
    status TEXT CHECK(status IN ('backlog', 'ready', 'in_progress', 'review', 'done')) DEFAULT 'backlog',
    assigned_skill TEXT,       -- Which skill handles this story
    sort_order INTEGER DEFAULT 0,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Tasks: Implementable units
CREATE TABLE IF NOT EXISTS tasks (
    id TEXT PRIMARY KEY,
    story_id TEXT REFERENCES stories(id) ON DELETE CASCADE,
    title TEXT NOT NULL,
    description TEXT,
    task_type TEXT CHECK(task_type IN ('frontend', 'backend', 'database', 'design', 'devops', 'qa', 'documentation', 'other')) DEFAULT 'other',
    estimate_hours REAL,
    status TEXT DEFAULT 'todo' 
        CHECK(status IN ('todo', 'in_progress', 'review', 'done', 'blocked')),
    assignee TEXT,
    column_id TEXT DEFAULT 'todo',
    sort_order INTEGER DEFAULT 0,
    blocked_reason TEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    started_at TIMESTAMP,
    completed_at TIMESTAMP
);

-- Dependencies between tasks
CREATE TABLE IF NOT EXISTS dependencies (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    blocker_task_id TEXT REFERENCES tasks(id) ON DELETE CASCADE,
    blocked_task_id TEXT REFERENCES tasks(id) ON DELETE CASCADE,
    dependency_type TEXT CHECK(dependency_type IN ('blocks', 'related')) DEFAULT 'blocks',
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    UNIQUE(blocker_task_id, blocked_task_id)
);

-- Session log (for project-harness integration)
CREATE TABLE IF NOT EXISTS sessions (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id TEXT UNIQUE NOT NULL,
    skill_used TEXT,
    started_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    completed_at TIMESTAMP,
    stories_completed TEXT,    -- JSON array of story IDs
    notes TEXT
);

-- Indexes
CREATE INDEX IF NOT EXISTS idx_epics_priority ON epics(priority);
CREATE INDEX IF NOT EXISTS idx_epics_audit ON epics(audit_level);
CREATE INDEX IF NOT EXISTS idx_stories_epic ON stories(epic_id);
CREATE INDEX IF NOT EXISTS idx_stories_status ON stories(status);
CREATE INDEX IF NOT EXISTS idx_tasks_story ON tasks(story_id);
CREATE INDEX IF NOT EXISTS idx_tasks_status ON tasks(status);

-- Useful views
CREATE VIEW IF NOT EXISTS v_epic_progress AS
SELECT 
    e.id,
    e.title,
    e.priority,
    e.audit_level,
    e.assigned_skills,
    COUNT(s.id) as total_stories,
    SUM(CASE WHEN s.status = 'done' THEN 1 ELSE 0 END) as done_stories,
    ROUND(100.0 * SUM(CASE WHEN s.status = 'done' THEN 1 ELSE 0 END) / COUNT(s.id), 1) as progress_pct
FROM epics e
LEFT JOIN stories s ON s.epic_id = e.id
GROUP BY e.id;

CREATE VIEW IF NOT EXISTS v_skill_workload AS
SELECT 
    e.assigned_skills,
    COUNT(DISTINCT e.id) as epic_count,
    COUNT(s.id) as story_count,
    SUM(CASE WHEN s.status != 'done' THEN 1 ELSE 0 END) as pending_stories
FROM epics e
LEFT JOIN stories s ON s.epic_id = e.id
GROUP BY e.assigned_skills;

---

Task Breakdown Methodology

Epic Definition

Epics are large feature areas (1-4 weeks of work):

Copy## Epic: User Authentication

**ID**: epic-001 (or F001)
**Priority**: P0
**Assigned Skills**: ["api-design", "ux-design", "aesthetic-ui-designer"]
**Skill Order**: api-design → ux-design → aesthetic-ui-designer

**Goal**: Users can create accounts and log in securely
**Scope**: Email/password, OAuth (Google, GitHub), password reset
**Out of Scope**: SSO, 2FA (P2)
**Dependencies**: Email service, OAuth provider setup
**Estimate**: 2 weeks

Story Definition

Stories are user-facing capabilities (1-5 days):

Copy### Story: Email/Password Registration

**ID**: story-001-01
**Epic**: epic-001
**Assigned Skill**: api-design (backend-heavy story)

**As a** new user
**I want to** create an account with email and password
**So that** I can access the application

**Acceptance Criteria**:
- [ ] Email validation (format, uniqueness)
- [ ] Password requirements (8+ chars, complexity)
- [ ] Email verification flow
- [ ] Error handling for duplicates

**Estimate**: 3 days

Task Definition

Tasks are implementable units (1-8 hours):

Copy#### Task: Create registration form component

**ID**: task-001-01-01
**Story**: story-001-01
**Type**: Frontend
**Estimate**: 4h

**Description**: 
- Email input with validation
- Password input with strength indicator
- Confirm password field
- Submit button with loading state

**Acceptance**: Form validates and submits to API
**Blocked By**: None
**Blocks**: Registration API integration

---

Workflow

Step-by-Step Process

1. Receive PRD/Brief

   • Read full document
   • Ask clarifying questions if critical gaps

2. Create Analysis Summary

   • Vision, users, features, constraints
   • Scope classification (P0-P3)
   • Flag ambiguities
   • Assign skills to features

3. Break Down Tasks

   • Define epics from major features
   • Break epics into stories
   • Break stories into tasks (≤8h each)
   • Map dependencies

4. Generate Outputs to .claude/

   • Create PROJECT.md (shared context)
   • Create SQLite database (tasks.db)
   • Generate features.json
   • Generate kanban HTML
   • Write implementation plan markdown
   • Create progress.md template

5. Deliver Files

   • All files in .claude/ folder
   • Present kanban.html for interactive use
   • Explain next steps (which skill to run first)

---

features.json Format

Copy{
  "project": {
    "name": "VoiceForm AI",
    "description": "AI-powered voice survey platform",
    "created_at": "2026-01-10T10:00:00Z"
  },
  "summary": {
    "total_epics": 30,
    "total_stories": 150,
    "total_hours": 1972,
    "by_priority": {
      "P0": 5,
      "P1": 12,
      "P2": 10,
      "P3": 3
    }
  },
  "features": [
    {
      "id": "F001",
      "epic_id": "epic-001",
      "title": "Survey Studio",
      "description": "Create and configure surveys with AI assistance",
      "priority": "P0",
      "assigned_skills": ["ux-design", "aesthetic-ui-designer"],
      "skill_order": ["ux-design", "aesthetic-ui-designer"],
      "dependencies": [],
      "audit_level": 0,
      "stories": ["story-001-01", "story-001-02", "story-001-03", "story-001-04", "story-001-05"]
    },
    {
      "id": "F002",
      "epic_id": "epic-002",
      "title": "RAG Pipeline",
      "description": "Document processing and semantic search",
      "priority": "P0",
      "assigned_skills": ["api-design"],
      "skill_order": ["api-design"],
      "dependencies": ["F001"],
      "audit_level": 0,
      "stories": ["story-002-01", "story-002-02", "story-002-03", "story-002-04", "story-002-05"]
    }
  ],
  "skill_summary": {
    "ux-design": ["F001", "F003", "F011"],
    "api-design": ["F002", "F007", "F008"],
    "aesthetic-ui-designer": ["F001", "F003", "F011"],
    "accessibility-auditor": ["F001", "F003"]
  }
}

---

Integration Points

With product-manager

After implementation, product-manager:

1. Reads tasks.db and features.json
2. Scans codebase for implementation evidence
3. Updates audit_level and audit_gaps in epics table
4. Adds remediation tasks to tasks.db
5. Updates PROJECT.md with current gaps

With project-harness

Project-harness:

1. Reads PROJECT.md for context
2. Checks tasks.db for next work
3. Logs sessions to sessions table
4. Updates progress.md after each session

With Implementation Skills

Skills like ux-design, api-design:

1. Read PROJECT.md for context
2. Check features.json for assigned work
3. Filter by assigned_skills containing their name
4. Update story status when complete

---

Anti-Patterns

Analysis Anti-Patterns

Task Breakdown Anti-Patterns

Output Anti-Patterns

---

Checklist: Complete PRD Analysis

Before Starting

• Full PRD/brief received
• Clarifying questions asked (if needed)
• Tech stack identified
• .claude/ folder created

During Analysis

• All features extracted
• Priorities assigned (P0-P3)
• Skills assigned to features
• Ambiguities documented

Task Breakdown

• Epics created (1 per feature)
• Stories created (achievable chunks)
• Tasks created (≤8h each)
• Dependencies mapped

Output Generation

• PROJECT.md created
• tasks.db created with full schema
• features.json created
• kanban.html generated
• progress.md template created
• implementation-plan.md written

Handoff

• Next steps explained
• First skill to run identified
• Files presented to user

---

References

• references/prd-analysis.md — Deep dive on document analysis
• references/task-breakdown.md — Detailed breakdown methodology
• references/kanban-setup.md — Database schema and HTML generation
• references/skill-routing.md — Skill assignment logic
• templates/kanban.html — Kanban board template