prd-writer
Skill25 starsChanged 9 months agoMITView on GitHub
Generate structured Product Requirements Documents (PRDs) from a feature brief, idea, or problem statement. Covers problem definition, user stories, requirements, success metrics, and launch plan. Adapts to AI/ML product contexts.
35 other projects use a version of this.
Adopted by
Most recently taken up by
- alunadev/ald-skillstheir own version, first seen Nov 8, 2026
- shawnclybor/clybor-claude-toolingtheir own version, first seen Nov 8, 2026
- Sach1ng/PM-operating-OStheir own version, first seen Nov 1, 2026
- WST2002/claude-code-skillstheir own version, first seen Oct 17, 2026
- awahids/noskilltheir own version, first seen Oct 15, 2026
- sankar2code/Claude-Skill_SubAgent-Builder-Collectionstheir own version, first seen Oct 13, 2026
Used with
Projects with it also use experiment-designer, user-research and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Dokkabei97Skillexperiment-designer
Designs A/B tests and product experiments with hypothesis structuring, sample size calculation, duration estimation, and result interpretation. Unified framework for both product and marketing experiments.
Also in 3 projects that use this
AnthropicSkilluser-research
Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or when the user needs help with any aspect of understanding their users through research.
Also in 3 projects that use this
OpenAISkillbrainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Also in 3 projects that use this
Other versions35 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 35
- aakashg/pm-claude-code-setup★ 152same name
- cigery-useio/useio-skills★ 103same name
- skinnerlee1225/enterprise-prd-toolkit★ 45same name
- nimbalyst/skills★ 28same name
- vibepm666/prd-writer★ 27same name
- HiWhaleW/skill★ 22same name
- Panix22/prd-writer-skill★ 19same name
- samlaying/pm-skills★ 9same name
- v60samurai/builder-os★ 8same name
- shawnclybor/clybor-claude-tooling★ 6same name
25 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
- ai-ethics-tradeoffsSkill
- ai-market-landscapeSkill
- ai-product-teardownSkill
- analytical-pmSkill
- behavioral-pmSkill
- launch-checklistSkill
- metric-dashboardSkill
- mock-interviewerSkill
- pm-case-studySkill
- pm-writingSkill
- prioritization-matrixSkill
- product-senseSkill
- product-strategySkill
- stakeholder-briefSkill
- technical-pmSkill
- user-research-synthesisSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 25 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 43
Write 3-5 user stories in the format:
“Common” is measured: kept by at least 6 in 10 of the 25 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PRD Writer Skill
Generate a complete, structured PRD from a feature idea, problem statement, or brief description.
When to Use
- User needs to write a PRD for a new feature
- User has an idea and wants it turned into a structured spec
- User says
/prd-writerfollowed by a feature description - Any time a product requirement needs to be documented
Framework: PRD Structure
1. Overview
- Feature name: Clear, descriptive name
- Author: [to be filled]
- Date: Current date
- Status: Draft / In Review / Approved
- One-liner: What this feature does in one sentence
2. Problem Statement
- What problem are we solving? Describe the user pain point or business need
- Who has this problem? Primary user segment
- How big is this problem? Estimated impact (users affected, frequency, severity)
- Why solve it now? Urgency, strategic alignment, competitive pressure
3. Goals & Non-Goals
Goals:
- 3-5 specific, measurable goals this feature should achieve
- Each goal maps to a user need or business objective
Non-Goals:
- Explicitly list what this feature will NOT do
- Prevents scope creep and sets expectations
4. User Stories
Write 3-5 user stories in the format:
As a [user type], I want to [action] so that [benefit].
Include acceptance criteria for each:
- Given [context], when [action], then [expected result]
5. Detailed Requirements
Functional Requirements:
| ID | Requirement | Priority (P0/P1/P2) | Notes |
| FR-1 | |||
| FR-2 |
Non-Functional Requirements:
- Performance: Latency, throughput, scalability targets
- Security: Auth, data handling, compliance
- Accessibility: WCAG level, screen reader support
- Reliability: Uptime, error handling, graceful degradation
For AI/ML features, also include:
- Model requirements: Accuracy, latency, cost per inference
- Data requirements: Training data, eval data, data pipeline
- Safety requirements: Content policy, guardrails, fallback behavior
- Eval criteria: How model quality will be measured
6. UX & Design
- User flow: Step-by-step walkthrough of the primary flow
- Key screens/states: Describe the main UI states (loading, empty, error, success)
- Edge cases: What happens when things go wrong?
- Design references: Links to mockups/wireframes (placeholder)
7. Technical Approach
- Architecture: High-level system design
- Dependencies: APIs, services, teams needed
- Data model: Key entities and relationships
- Migration: Any data migration or backward compatibility concerns
8. Success Metrics
- Primary metric: The one number that tells us this feature worked
- Secondary metrics (3-4): Supporting indicators
- Guardrail metrics (2-3): What must NOT regress
- Measurement plan: How and when to measure
9. Launch Plan
- Rollout strategy: Feature flag → internal → beta → GA
- Launch criteria: What must be true before each stage
- Rollback plan: How to revert if something goes wrong
- Communication: Who needs to know and when
10. Open Questions
- List unresolved questions that need stakeholder input
- Include who should answer each question
Output Format
Generate as clean markdown, ready to paste into Notion, Confluence, Google Docs, or any doc tool. Use tables for requirements. Be specific and actionable — avoid vague language.
Research-First Workflow
- Research — Search for comparable features from competitors, best practices, and relevant technical approaches.
- Generate the complete PRD following the structure above.
- Flag open questions and assumptions that need validation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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