prd-implementation-precheck▌
charon-fan/agent-playbook · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Perform a short PRD precheck, present issues and questions, then implement only after the user confirms or adjusts the PRD.
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
- Locate the PRD and any referenced files.
- Precheck the PRD and summarize intent in 1-2 sentences.
- List findings and questions (blockers first), then ask for confirmation to proceed.
- After confirmation, implement the PRD with minimal, consistent changes.
- 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches prd-implementation-precheck from GitHub repository charon-fan/agent-playbook and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 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▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★54 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.
showing 1-10 of 54