prd-planner

charon-fan/agent-playbook · updated Apr 8, 2026

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$npx skills add https://github.com/charon-fan/agent-playbook --skill prd-planner
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summary

A PRD creation skill that uses persistent file-based planning to maintain coherent thinking and avoid "left-brain vs right-brain" context switching issues.

skill.md

PRD Planner

A PRD creation skill that uses persistent file-based planning to maintain coherent thinking and avoid "left-brain vs right-brain" context switching issues.

When This Skill Activates

This skill activates when you:

  • Explicitly say "PRD", "prd", "create a PRD", or "产品需求文档"
  • Say "product requirements document" or "产品需求"
  • Mention "write a PRD for..."
  • Say "PRD planning" or "PRD 设计"

If user says "design solution" or "architecture design" without mentioning PRD, use architecting-solutions instead.

The Core Philosophy

"PRD creation should be traceable, coherent, and persistent - not scattered across context switches."

This skill combines:

  • PRD methodology (from architecting-solutions)
  • File-based persistence (from planning-with-files)

To create a single, coherent PRD creation workflow that doesn't lose context.

4-File Pattern for PRD Creation

For every PRD project, create FOUR files:

Pick a SCOPE (short, unique, kebab-case slug) and use it as a prefix for all files.

docs/{scope}-prd-notes.md     → Store research, requirements, findings, options
docs/{scope}-prd-task-plan.md → Track PRD creation phases and progress
docs/{scope}-prd.md           → Product requirements (what & why)
docs/{scope}-tech.md          → Technical design (how)

File Purposes

File Purpose Audience Updated When
{scope}-prd-notes.md Raw research, requirements, architecture options (A/B/C) Self + reviewers New information gathered
{scope}-prd-task-plan.md Track progress, phases, checkboxes, timestamps PM + dev lead Each phase completion
{scope}-prd.md Product requirements (what & why), user flows PM + stakeholders + devs After requirements are clear
{scope}-tech.md Technical design (API, data flow, implementation) Developers + architects After architecture is decided

Workflow

┌─────────────────────────────────────────────────────────────────┐
│                     PRD Creation Workflow                       │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  1. Initialize → Create 4 files with template                   │
│  2. Requirements → Gather to {scope}-prd-notes.md               │
│  2.5 Edge Cases → Scan codebase, infer patterns, ask smartly    │
│  3. Analysis → Research best practices, save to notes           │
│  4. Design → Propose architecture options (A/B/C), save to notes │
│  5. PRD → Write product requirements to {scope}-prd.md          │
│  6. Tech → Write technical design to {scope}-tech.md            │
│  7. Validate → Review with user, finalize                       │
│                                                                 │
└─────────────────────────────────────────────────────────────────┘
           All thinking persisted to files
              No context switching

Step 1: Initialize

Create the four files with templates:

{scope}-prd-task-plan.md

# PRD Task Plan: {Feature Name}

## Goal
Create a PRD and technical design for {feature description}.

## Owner
{User name/role}

## Phases
- [x] Phase 1: Initialize files ✓
- [ ] Phase 2: Gather requirements (CURRENT)
- [ ] Phase 3: Research & analysis
- [ ] Phase 4: Design solution
- [ ] Phase 5: Write PRD
- [ ] Phase 6: Write technical design
- [ ] Phase 7: Validate & finalize

## Status
**Currently in Phase 2** - Gathering requirements from user

## Progress Log
- {timestamp} - Phase 1 complete: Files initialized

{scope}-prd-notes.md

# PRD Notes: {Feature Name}

## Raw Requirements
(Add user requirements as they emerge)

## Constraints
(Add technical, business, time constraints)

## Inferred Patterns (from codebase)

| Edge Case | Source | Pattern Applied |
|-----------|--------|-----------------|
| (Filled after Step 2.5 codebase scan) | | |

## Edge Cases

### Auto-handled (following codebase patterns)
- (Filled after Step 2.5 analysis)

### Confirmed by User
- (Filled after user confirms edge case decisions)

### Open Questions
- (Track questions to ask user)

## Research Findings
(Add research on best practices, similar solutions)

## Architecture Options

- Option A: {Description}
  - Pros: {Advantages}
  - Cons: {Disadvantages}

- Option B: {Description}
  - Pros: {Advantages}
  - Cons: {Disadvantages}

- Option C: {Description}
  - Pros: {Advantages}
  - Cons: {Disadvantages}

**Selected**: Option {X}

{scope}-prd.md

# PRD: {Feature Name}

> Status: DRAFT
> Last updated: {timestamp}

## Table of Contents
- [Problem Statement](#problem-statement)
- [Goals and Non-Goals](#goals-and-non-goals)
- [Success Criteria](#success-criteria)
- [Scope](#scope)
- [Requirements](#requirements)
- [User Flows](#user-flows)
- [Implementation Plan](#implementation-plan)

---

## Problem Statement
_To be filled after requirements gathering_

## Goals and Non-Goals
### Goals
- {Specific achievable outcomes}

### Non-Goals
- {Explicit exclusions}

## Success Criteria
_To be filled with measurable criteria_

## Scope
### In Scope
- {Specific items included}

### Out of Scope
- {Specific items excluded}

... (rest of PRD sections)

{scope}-tech.md

# Technical Design: {Feature Name}

> Status: DRAFT
> Last updated: {timestamp}

## Overview
{High-level technical approach}

## Key Components
{List major components and their responsibilities}

## API Design
{API signatures, request/response formats}

## Data Flow
{How data flows through the system}

## Implementation Details
{Specific implementation notes}

## Migration Plan
{If applicable, how to migrate from existing system}

Step 2: Gather Requirements

Ask clarifying questions and save responses to {scope}-prd-notes.md:

Core Questions to Ask

  1. Problem: What problem are we solving?
  2. Users: Who will use this?
  3. Success: How do we know it's successful?
  4. Constraints: Any technical/time/budget constraints?

Save each answer to {scope}-prd-notes.md under appropriate section.

Always update {scope}-prd-task-plan.md after gathering info:

- [x] Phase 2: Gather requirements ✓
- [ ] Phase 2.5: Edge case analysis (CURRENT)
- [ ] Phase 3: Research & analysis

Step 2.5: Context-Aware Edge Case Analysis

Before asking users about edge cases, scan the codebase first to infer existing patterns. This reduces redundant questions and ensures consistency with the project.

Detailed reference: See references/edge-case-analysis.md for full scanning commands and output formats.

Quick Process

  1. Scan codebase for existing patterns (delete strategy, error handling, empty states, pagination)
  2. Identify requirement type (CRUD, State Workflow, Async, Data Display, Form, File)
  3. Generate smart assumptions - patterns found in code don't need user confirmation
  4. Ask only when needed - no precedent, multiple patterns, or business decision required

When to Ask Users

Condition Action
Pattern exists in codebase Auto-apply, no question needed
No precedent found Ask user with options
Multiple conflicting patterns Ask user to choose
Business rule required Ask user

Output to Notes File

Update {scope}-prd-notes.md with:

## Inferred Patterns (from codebase)
| Edge Case | Source | Pattern Applied |
|-----------|--------|-----------------|
| Delete | `src/models/User.ts:45` | Soft delete |

## Edge Cases
### Auto-handled (following codebase patterns)
- Empty list → Use existing EmptyState component

### Confirmed by User
- Concurrent edit: Last write wins (confirmed {date})

Update task plan:

- [x] Phase 2.5: Edge case analysis ✓
- [ ] Phase 3: Research & analysis (CURRENT)

Step 3: Research & Analysis

Research best practices and save to {scope}-prd-notes.md:

# Search for similar implementations
grep -r "keyword" packages/ --include="*.ts"
how to use prd-planner

How to use prd-planner on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add prd-planner
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/charon-fan/agent-playbook --skill prd-planner

The skills CLI fetches prd-planner from GitHub repository charon-fan/agent-playbook and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/prd-planner

Reload or restart Cursor to activate prd-planner. Access the skill through slash commands (e.g., /prd-planner) or your agent's skill management interface.

Security & Verification Notice

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.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.568 reviews
  • Chaitanya Patil· Dec 28, 2024

    prd-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Choi· Dec 28, 2024

    I recommend prd-planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Michael Lopez· Dec 16, 2024

    prd-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Sanchez· Dec 16, 2024

    Keeps context tight: prd-planner is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 8, 2024

    Useful defaults in prd-planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Piyush G· Nov 19, 2024

    Registry listing for prd-planner matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mei Rahman· Nov 7, 2024

    prd-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anaya Huang· Oct 26, 2024

    Registry listing for prd-planner matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hiroshi Wang· Oct 26, 2024

    Solid pick for teams standardizing on skills: prd-planner is focused, and the summary matches what you get after install.

  • Shikha Mishra· Oct 10, 2024

    prd-planner reduced setup friction for our internal harness; good balance of opinion and flexibility.

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