Design prd
🦖Curated Cursor AI agent skills, slash commands, MCP configs, subagents & rules for full-stack dev — React 19, Next.js 15, Supabase, Tailwind v4, TypeScript
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Generate Product Requirements Documents through structured conversation for any project. Auto-detects tech stack, existing features, and data model from the codebase. Uses Firecrawl to research competitor products and UX patterns, Context7 to check framework capabilities for feasibility, and Supabase MCP to verify data model feasibility. Produces actionable PRDs with technical feasibility sections informed by real codebase analysis. Use when starting a new feature, documenting requirements, creating specs before implementation, or needing clarity on scope and success criteria.
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SKILL.md
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Generate PRD Skill
Create detailed, actionable Product Requirements Documents through structured conversation, informed by codebase analysis and competitive research.
Step 0: Auto-Detect Project Context
Before writing any PRD, understand the project from its source code.
0a. Detect Tech Stack
Read package.json (or equivalent) to extract:
- Framework: Next.js, Remix, SvelteKit, Nuxt, Django, Rails, etc.
- UI library: React, Vue, Svelte, Angular
- Database: Supabase, Prisma, Drizzle, raw SQL
- Auth: Supabase Auth, NextAuth, Clerk, Auth0
- State management: TanStack Query, Zustand, Redux, Pinia
- CSS: Tailwind, CSS Modules, Styled Components
0b. Discover Existing Features
Glob: **/app/**/page.tsx → Next.js routes (features)
Glob: **/features/*/ → Feature directories
Glob: **/src/routes/**/*.tsx → Route-based features
Grep: pattern "export default" glob "**/page.tsx" output_mode "files_with_matches"
Read feature READMEs if they exist:
Glob: **/*README*.md → Feature docs
Glob: **/docs/*.md → Documentation
0c. Discover Data Model
Glob: **/supabase/migrations/*.sql → SQL migrations
Glob: **/prisma/schema.prisma → Prisma schema
Glob: **/drizzle/schema.ts → Drizzle schema
Glob: **/types/*.ts → TypeScript type definitions
0d. Check for Existing PRDs
Glob: **/tasks/prd-*.md → Existing PRDs
Glob: **/docs/prd-*.md → Existing PRDs (alt location)
Glob: **/specs/*.md → Spec documents
0e. Record Context
PROJECT CONTEXT:
- Framework: [name + version]
- Database: [type + ORM]
- Existing features: [list of routes/feature dirs]
- Existing PRDs: [list or none]
- Data entities: [list from schema]
- Auth system: [provider]
Step 1: Research Before Writing
1a. Competitive Research (Firecrawl)
When the user describes a feature, research how others have solved it:
firecrawl:firecrawl_search
{
"query": "<FEATURE_TYPE> UX patterns best practices [current year]",
"limit": 5,
"sources": [{ "type": "web" }]
}
Additional searches based on feature type:
| Feature Type | Search Query |
|---|---|
| CRUD / data management | <domain> management app UX best practices |
| Dashboard / analytics | dashboard design patterns data visualization best practices |
| Authentication / onboarding | user onboarding flow best practices [current year] |
| E-commerce / payments | e-commerce checkout UX optimization [current year] |
| Social / community | social features community engagement UX patterns |
| Content / CMS | content management UX editing experience best practices |
| Search / filtering | search and filter UX patterns faceted search |
| Settings / preferences | settings page UX patterns user preferences |
Scrape the most relevant result for detailed patterns:
firecrawl:firecrawl_scrape
{
"url": "<BEST_RESULT_URL>",
"formats": ["markdown"],
"onlyMainContent": true
}
1b. Technical Feasibility (Context7)
Check if the framework supports what the feature needs:
context7:resolve-library-id
{
"libraryName": "<FRAMEWORK>",
"query": "<FEATURE_CAPABILITY> support"
}
context7:query-docs
{
"libraryId": "<RESOLVED_ID>",
"query": "<FEATURE_CAPABILITY> implementation guide"
}
1c. Data Model Feasibility (Supabase MCP)
If the feature involves data, check the existing schema:
supabase:list_tables
{
"project_id": "<PROJECT_ID>",
"schemas": ["public"],
"verbose": true
}
Or for specific tables:
supabase:execute_sql
{
"project_id": "<PROJECT_ID>",
"query": "SELECT column_name, data_type, is_nullable FROM information_schema.columns WHERE table_name = '<RELEVANT_TABLE>' ORDER BY ordinal_position"
}
Determine:
- Can existing tables support this feature?
- What new tables/columns are needed?
- What relationships need to be added?
- Do RLS policies need updating?
Step 2: Understand the Request
When the user describes a feature, DO NOT start writing immediately.
Identify what is clear vs unclear:
- Clear: problem statement, target user, basic functionality
- Unclear: scope boundaries, success metrics, edge cases, technical constraints
Check for Similar Functionality
SemanticSearch: "How does the app currently handle <FEATURE_AREA>?" target: []
Grep: pattern "<FEATURE_KEYWORDS>" glob "*.{ts,tsx,js,jsx}"
If similar functionality already exists, the PRD should extend it rather than duplicate.
Step 3: Ask Clarifying Questions
Rules
- Limit to 3-5 questions — only ask what is truly unclear
- Number all questions (1, 2, 3...)
- Provide lettered options (A, B, C, D) for easy response
- Make responding easy — user can reply "1A, 2C, 3B"
Question Categories
| Category | Ask When... |
|---|---|
| Problem / Goal | The "why" is unclear |
| Core Functionality | The "what" is vague |
| Scope Boundaries | Request is broad |
| Target User | Multiple user types possible |
| Success Criteria | No clear definition of "done" |
Example Format
Before I write the PRD, a few questions:
1. What is the primary goal?
A. Improve UX for existing workflow
B. Add net-new capability
C. Fix a pain point
D. Performance improvement
2. Who is the target user?
A. Power users (daily use)
B. New users (onboarding)
C. All users equally
D. Internal / admin users
3. What is the expected scope?
A. MVP (ship fast, iterate later)
B. Complete feature with polish
C. Foundation for larger system
Reply with selections (e.g., "1B, 2A, 3B")
Step 4: Generate PRD
Template
# PRD: [Feature Name]
> **Status:** Draft
> **Created:** [Date]
> **Author:** [User] + AI co-author
---
## 1. Overview
[2-3 sentences: what this does and why it matters]
### Problem Statement
[Pain point or opportunity being addressed]
### Proposed Solution
[High-level description]
---
## 2. Goals
| Goal | Success Metric |
|------|----------------|
| [Goal 1] | [Measurable outcome] |
| [Goal 2] | [Measurable outcome] |
---
## 3. User Stories
### Primary Stories
1. As a [user], I want to [action] so that [benefit]
2. As a [user], I want to [action] so that [benefit]
### Edge Case Stories
3. As a [user], when [unusual condition], I expect [graceful behavior]
---
## 4. Functional Requirements
### Must Have (P0)
- [ ] FR-1: [Requirement]
- [ ] FR-2: [Requirement]
### Should Have (P1)
- [ ] FR-3: [Requirement]
### Nice to Have (P2)
- [ ] FR-4: [Requirement]
---
## 5. Non-Goals (Out of Scope)
- [Thing NOT doing and why]
- [Another thing NOT doing and why]
---
## 6. Technical Feasibility
### Existing Infrastructure
- **Framework:** [detected — supports feature because...]
- **Database:** [existing tables that support this: ...]
- **Auth:** [current auth supports required permissions: YES/NO]
### New Infrastructure Needed
- **Database changes:** [new tables, columns, or migrations]
- **API endpoints:** [new routes needed]
- **New dependencies:** [libraries to add, if any]
### Complexity Assessment
| Component | Complexity | Estimate | Notes |
|-----------|-----------|----------|-------|
| Frontend UI | [Low/Med/High] | [days] | [notes] |
| API layer | [Low/Med/High] | [days] | [notes] |
| Database | [Low/Med/High] | [days] | [notes] |
| Auth/permissions | [Low/Med/High] | [days] | [notes] |
---
## 7. Competitive Analysis
### How Others Solve This
[Summary from Firecrawl research]
| Product | Approach | Strength | Weakness |
|---------|----------|----------|----------|
| [Competitor A] | [how they do it] | [what works] | [what doesn't] |
| [Competitor B] | [how they do it] | [what works] | [what doesn't] |
### Our Differentiation
[What we will do differently and why]
---
## 8. UI/UX Considerations
### Key Screens
1. [Screen name] — [purpose]
2. [Screen name] — [purpose]
### UX Patterns Borrowed
- [Pattern from research] — adapted for [our context]
### Accessibility Requirements
- Keyboard navigable
- Screen reader compatible
- Color contrast WCAG AA
---
## 9. Data Model
### Existing Tables Used
| Table | Columns Used | Purpose |
|-------|-------------|---------|
| [table] | [columns] | [why needed] |
### New Tables / Changes
```sql
-- New table or ALTER TABLE
CREATE TABLE IF NOT EXISTS [table_name] (
id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
[columns...],
created_at timestamptz NOT NULL DEFAULT now(),
updated_at timestamptz NOT NULL DEFAULT now()
);
RLS Policies Needed
- [Policy description]
10. Open Questions
- Q1: [Unresolved question]
- Q2: [Unresolved question]
---
## Step 5: Iterate
After presenting the PRD:
1. Ask: "Does this capture what you had in mind?"
2. Incorporate edits
3. Resolve open questions
4. Confirm: "Is this PRD ready to save?"
---
## Step 6: Save
**Location:** `tasks/prd-[feature-name].md`
**Naming:**
- All lowercase
- Use hyphens for spaces
- Examples: `prd-dark-mode.md`, `prd-export-csv.md`, `prd-user-onboarding.md`
---
## Writing Guidelines
Target audience: a **junior developer** should understand this.
- Clear, simple language
- Define acronyms on first use
- Be explicit — no implied knowledge
- Every requirement is testable ("fast" is vague; "loads in under 200ms" is testable)
- Use tables for structured comparisons
- Include "Not doing" section to prevent scope creep
---
## Anti-Patterns
- Starting to code before asking questions
- Asking 10+ questions (keep to 3-5)
- Writing implementation details (PRD = WHAT/WHY, not HOW)
- Vague requirements ("should be fast" -> "response time under 200ms")
- Skipping competitive research (leads to reinventing the wheel)
- Skipping technical feasibility (leads to impossible requirements)
- Not checking existing codebase (leads to duplicate features)