prd-implementation-precheck

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

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

Perform a short PRD precheck, present issues and questions, then implement only after the user confirms or adjusts the PRD.

skill.md

PRD Implementation Precheck

Overview

Perform a short PRD precheck, present issues and questions, then implement only after the user confirms or adjusts the PRD.

Workflow

  1. Locate the PRD and any referenced files.
  2. Precheck the PRD and summarize intent in 1-2 sentences.
  3. List findings and questions (blockers first), then ask for confirmation to proceed.
  4. After confirmation, implement the PRD with minimal, consistent changes.
  5. Validate (tests or manual steps) or state what was not run.

Precheck Checklist

Basic Checks

  • Scope: Identify over-broad changes; suggest a smaller, targeted approach.
  • Alignment: Flag conflicts with existing patterns or architecture; propose alternatives.
  • Dependencies: Note missing hooks/providers/data sources or unclear ownership.
  • Behavior: Verify flows and edge cases are specified; ask for gaps.
  • Risks: Call out performance, regressions, or migration risks.
  • Testing: Check success criteria and test coverage; request specifics if vague.

Edge Case Coverage Checks

Verify the PRD addresses these edge cases (mark as ⚠️ if missing):

Data Boundaries

  • Null/Empty handling - What happens with empty inputs or null values?
  • Boundary values - Are min/max limits defined? What happens at boundaries?
  • Duplicate data - How are duplicates detected and handled?
  • Data format - Are input formats validated? What about special characters?

State Boundaries

  • State transitions - Are all valid state transitions defined?
  • Invalid transitions - What happens on illegal state changes?
  • Concurrent modifications - How are simultaneous edits handled?
  • Rollback scenarios - Can operations be undone? How?

Error Boundaries

  • Network failures - What happens when API calls fail?
  • Timeout behavior - Are timeouts defined? What's the retry strategy?
  • Partial failures - If step 2 of 3 fails, what happens to step 1?
  • Error messages - Are user-facing error messages defined?

UX Boundaries

  • Empty states - What does the user see with no data?
  • Loading states - How is loading indicated?
  • Success feedback - How does the user know the action succeeded?
  • Permission denied - What happens when user lacks permission?

Codebase Consistency Checks

Scan the codebase to verify PRD aligns with existing patterns:

# Check if PRD's proposed patterns match existing code
grep -r "pattern_from_prd" src/ --include="*.ts"
  • Delete strategy - Does PRD match existing soft/hard delete pattern?
  • Error handling - Does PRD use the same error display mechanism?
  • Component reuse - Does PRD leverage existing components?
  • API patterns - Does PRD follow existing API conventions?

Output Format

Precheck Report Template

## PRD Precheck Report

### Summary
{1-2 sentence summary of what the PRD aims to achieve}

### ✅ Covered Edge Cases
- {List edge cases that are well-defined in the PRD}

### ⚠️ Missing Edge Cases
| Edge Case | Category | Suggested Default | Needs Confirmation |
|-----------|----------|-------------------|-------------------|
| Empty list display | UX | Use existing EmptyState | No |
| Concurrent edit | State | Last write wins | **Yes** |

### 🔴 Blockers
- {Critical issues that must be resolved before implementation}

### 🟡 Warnings
- {Non-critical issues that should be addressed}

### Questions for User
1. {Specific question about missing edge case}
2. {Specific question about ambiguous requirement}

---

**Proceed as-is, or update the PRD?**

Output Expectations

  • Provide a concise precheck report with questions and risks.
  • Ask explicitly: "Proceed as-is, or update the PRD?"
  • If no blockers, state assumptions and continue only with user approval.
how to use prd-implementation-precheck

How to use prd-implementation-precheck 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-implementation-precheck
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-implementation-precheck

The skills CLI fetches prd-implementation-precheck 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-implementation-precheck

Reload or restart Cursor to activate prd-implementation-precheck. Access the skill through slash commands (e.g., /prd-implementation-precheck) 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)
  • No comments yet — start the thread.
general reviews

Ratings

4.654 reviews
  • Maya Park· Dec 20, 2024

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

  • Yuki Abbas· Dec 20, 2024

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

  • Evelyn Farah· Nov 11, 2024

    We added prd-implementation-precheck from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Evelyn Flores· Oct 2, 2024

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

  • Benjamin Malhotra· Sep 25, 2024

    prd-implementation-precheck is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Sep 21, 2024

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

  • Isabella Huang· Sep 21, 2024

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

  • Isabella Kim· Sep 17, 2024

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

  • Xiao Thompson· Sep 9, 2024

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

  • Kiara Lopez· Sep 1, 2024

    We added prd-implementation-precheck from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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