docs-architect

name	docs-architect
description	Technical documentation architect that creates comprehensive technical documentation (both short-form guides and long-form manuals) with architecture diagrams, design rationale, and implementation guides. Explains the what and the why.
version	2.0.0

Docs-Architect Skill

Purpose

Generate comprehensive technical documentation that serves as the definitive reference for systems. Creates both short-form guides (001-009 numbered sets) and long-form technical manuals (10-100+ pages) suitable for onboarding, architectural reviews, and long-term maintenance.

Core Approach: Explain both the "what" (implementation) and the "why" (design decisions).

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Quick Start

Short-Form Documentation (9-Document Set)

Use docs-architect to generate MVP documentation set

Long-Form Documentation (Technical Manual)

Use docs-architect to create comprehensive technical documentation
Use docs-architect to document the architecture and design decisions

Single Document

Use docs-architect to create architecture overview
Use docs-architect to document the security model

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Documentation Process

Phase 1: Discovery

Analyze the system:

• Read codebase structure and dependencies
• Identify key components and their relationships
• Extract design patterns and architectural decisions
• Map data flows and integration points
• Review existing docs (CLAUDE.md, PRDs, schemas)

Commands to run:

# Analyze structure
ls -R src/ supabase/
grep -r "export" src/components/
grep -r "CREATE TABLE" supabase/migrations/

# Read key files
cat CLAUDE.md
cat package.json
ls supabase/functions/

Phase 2: Structuring

Organize information:

• Create logical chapter/section hierarchy
• Design progressive disclosure of complexity
• Plan diagrams and visual aids
• Establish consistent terminology

Output: Table of contents with section purposes

Phase 3: Writing

Generate documentation:

• Start with executive summary (one-page overview)
• Progress from high-level architecture to implementation details
• Include rationale for design decisions (the "why")
• Add code examples with thorough explanations
• Use file_path:line_number format for code references

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Documentation Types

Short-Form: 9-Document Set

Best for: Quick reference, onboarding, checklists Length: 2-5 pages per document Format: Numbered sequence (001-009)

No.	Document	Purpose
001	Overview	Executive summary, goals, vision, scope
002	Architecture	System design, components, diagrams, flows
003	Setup Guide	Environment setup, tools, dependencies
004	Core Features	Core functionality, logic, code patterns
005	Data Models	Schema design, data flow, relationships
006	Integration Points	APIs, events, external dependencies
007	Best Practices	Standards, naming, security, performance
008	Success Criteria	Metrics, functional goals, validation
009	Workflow Checklist	Task tracking, testing, deployment steps

Long-Form: Technical Manual

Best for: Comprehensive reference, architecture reviews, knowledge transfer Length: 10-100+ pages Format: Chapter-based with deep technical detail

Key Chapters:

1. Executive Summary (1 page for stakeholders)
2. Architecture Overview (system boundaries, key components)
3. Design Decisions (rationale behind architectural choices)
4. Core Components (deep dive into each major module)
5. Data Models (schema design, data flow documentation)
6. Integration Points (APIs, events, external dependencies)
7. Deployment Architecture (infrastructure, operational considerations)
8. Performance Characteristics (bottlenecks, optimizations, benchmarks)
9. Security Model (authentication, authorization, data protection)
10. Appendices (glossary, references, detailed specifications)

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Document Structure

Every Document Must Include

1. Executive Summary

• One-paragraph overview
• Who, what, why, when
• Key takeaways

2. Purpose Statement

• What this document covers
• Why it matters
• Who should read it

3. Core Content

Short-form: Steps, examples, diagrams Long-form: Chapters with progressive complexity

4. Visual Aids

• Mermaid diagrams (architecture, sequence, flow)
• Tables for structured data
• Code examples with file paths

5. Design Rationale

• Why this approach was chosen
• Alternatives considered
• Trade-offs made

6. Implementation Guide

• How to use/build the system
• Code examples from actual codebase
• Common pitfalls and solutions

7. Validation Criteria

• How to verify correctness
• Success metrics
• Testing procedures

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Templates

Short-Form Template (002-architecture.md)

# System Architecture

## Executive Summary
[One paragraph: what the system is, key components, main flow]

## Purpose
[Why we need this architecture, what problems it solves]

## System Boundaries
**In Scope**: [What the system includes]
**Out of Scope**: [What's excluded or delegated]

## Key Components
1. **Frontend** (src/components/, src/pages/)
   - React + TypeScript + Vite
   - Rationale: Fast builds, modern DX, type safety

2. **Backend** (supabase/functions/)
   - Supabase Edge Functions
   - Rationale: Serverless, integrated with DB, secure API key handling

3. **Database** (supabase/migrations/)
   - PostgreSQL via Supabase
   - Rationale: Strong typing, RLS, real-time capabilities

## Architecture Diagram
\`\`\`mermaid
graph TB
    User[User] --> Frontend[React App]
    Frontend --> EdgeFn[Edge Functions]
    EdgeFn --> DB[Supabase DB]
    EdgeFn --> AI[OpenAI API]
    DB --> RLS[RLS Policies]
\`\`\`

## Data Flow
1. User interacts with React frontend
2. Frontend calls Edge Function (secure)
3. Edge Function validates JWT token
4. Edge Function queries database (RLS enforced)
5. Response returned to frontend
6. UI updates reactively

## Design Decisions

### Why Edge Functions vs. Direct Client Calls?
**Decision**: Proxy AI API calls through Edge Functions
**Rationale**:
- API keys never exposed to browser
- Server-side validation and rate limiting
- Centralized logging and monitoring

**Alternatives Considered**:
 Direct client calls ❌ (security risk)
 Traditional backend ❌ (more infrastructure)


: Use Supabase for backend
:
 Built-in auth with JWT
 Row-Level Security (RLS) for data isolation
 Real-time subscriptions
 Edge Functions for custom logic


 Always enable RLS on tables (supabase/migrations/)
 Use profileid) for foreign keys
 Test migrations locally before pushing
 Keep Edge Functions under 10MB


 Database schema: supabase/migrations/
 Edge Functions: supabase/functions/chat/index.ts
 Frontend components: src/components/
 API client: src/lib/apiClient.ts


✅ RLS enabled on all tables
✅ No API keys in frontend code
✅ Edge Functions deployed
✅ TypeScript compiles with no errors

Long-Form Template (Chapter 3: Design Decisions)

# Chapter 3: Design Decisions

## Overview
This chapter explains the architectural choices made during development, the rationale behind them, and the alternatives that were considered.

## 3.1 Frontend Architecture

### React + TypeScript + Vite

**Decision**: Use React with TypeScript and Vite for the frontend

**Rationale**:
- **React**: Component-based architecture enables reusability
- **TypeScript**: Catches errors at compile-time, improves maintainability
- **Vite**: 10x faster builds than Webpack, better DX

**Alternatives Considered**:
1. **Vue.js** ❌
   - Pros: Simpler learning curve
   - Cons: Smaller ecosystem, team has React experience

2. **Next.js** ❌
   - Pros: SSR built-in, better SEO
   - Cons: Overkill for SPA, Supabase handles backend

**Trade-offs**:
- ✅ Fast development with hot reload
- ✅ Strong typing catches bugs early
- ❌ Larger bundle size than vanilla JS
- ❌ Build step required (not issue for modern apps)

**Evidence**: Build time reduced from 45s (Webpack) to 3s (Vite)

## 3.2 Authentication Strategy

### JWT + Row-Level Security (RLS)

**Decision**: Use Supabase Auth with JWT tokens and PostgreSQL RLS policies

**Rationale**:
- **JWT tokens**: Stateless, scalable, no session storage needed
- **RLS**: Database enforces access control, no authorization bugs in app code
- **Supabase Auth**: Handles OAuth, magic links, email verification

**Alternatives Considered**:
  ❌
 Pros: Full control
 Cons: More code, security risks, session management complexity

  ❌
 Pros: Battle-tested, feature-rich
 Cons: Additional cost, vendor lock-in, Supabase already has auth

:
 JWT stored in httpOnly cookie (XSS protection)
 RLS policies check auth.uid() = profile

Validation:

• ✅ No way to access other users' data
• ✅ Tokens expire after 1 hour (security)
• ✅ Refresh tokens allow seamless re-auth

---

[Continue with sections 3.3, 3.4, etc. for each major decision]

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## Best Practices

### Writing Style
- **Clear and precise**: Avoid jargon unless defined in glossary
- **Progressive complexity**: Start simple, add detail gradually
- **Active voice**: "The system validates..." not "Validation is performed..."
- **Concrete examples**: Use real code from the project

### Documentation Architecture
- **Reading paths**: Provide guidance for different audiences
  - Developers: Start with 003-setup-guide.md → 004-core-features.md
  - Architects: Start with 002-architecture.md → Design Decisions chapter
  - Operations: Start with Deployment Architecture → Security Model

### Visual Communication
- **Diagrams for every flow**: Architecture, sequence, data flow
- **Tables for comparisons**: Alternatives, trade-offs, configurations
- **Code blocks with context**: Include file paths, line numbers

### Maintenance
- **Update docs with code changes**: Documentation is part of the codebase
- **Version numbers**: Increment when making updates
- **Changelog section**: Track major changes over time

### Cross-References
```markdown
✅ Good: "See src/lib/apiClient.ts:45-67 for implementation"
✅ Good: "Refer to [002-architecture.md](002-architecture.md#security-model)"
❌ Bad: "See the code for details"

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Mermaid Diagram Types

System Architecture

graph TB
    User --> Frontend
    Frontend --> EdgeFn[Edge Functions]
    EdgeFn --> DB[PostgreSQL]
    EdgeFn --> AI[OpenAI API]

Sequence Diagram

sequenceDiagram
    User->>Frontend: Submit Form
    Frontend->>Edge Function: POST /chat
    Edge Function->>OpenAI: Generate Response
    OpenAI-->>Edge Function: AI Response
    Edge Function->>DB: Store Message
    Edge Function-->>Frontend: Success
    Frontend-->>User: Display Result

Data Flow

graph LR
    A[User Input] --> B[Validation]
    B --> C[Business Logic]
    C --> D[Database]
    D --> E[Response]
    E --> F[UI Update]

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Generation Workflow

Step 1: Create Output Directory

mkdir -p docs/mvp  # Short-form
mkdir -p docs/technical-manual  # Long-form

Step 2: Analyze Codebase

• Read project structure
• Review CLAUDE.md
• Check migrations, functions, components
• Identify design patterns

Step 3: Generate Documentation

Sequential order (each builds on previous):

1. Overview/Executive Summary
2. Architecture
3. Design Decisions
4. Implementation Details
5. Validation Criteria

Step 4: Add Cross-References

Link related sections and code files

Step 5: Validate

• All sections complete
• Diagrams render correctly
• Code examples tested
• File paths accurate
• Design rationale included

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Validation Checklist

Short-Form (9 Documents)

• All 9 documents exist
• Each has executive summary
• Design rationale explained
• Code examples from actual project
• Mermaid diagrams render
• Cross-references work
• File paths use format: file_path:line_number

Long-Form (Technical Manual)

• Executive summary (1 page)
• Chapter structure logical
• Design decisions documented with rationale
• Alternatives considered for major choices
• Trade-offs explained
• Performance characteristics documented
• Security model detailed
• Glossary of terms
• Reading paths for different audiences

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Quick Reference

Generate Short-Form Docs

Use docs-architect to generate MVP documentation set

Generate Long-Form Manual

Use docs-architect to create comprehensive technical documentation

Document Specific Areas

Use docs-architect to document the authentication system
Use docs-architect to document database schema and RLS policies
Use docs-architect to document API integration points

Update Existing Docs

Use docs-architect to update architecture docs with Edge Function changes

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Integration with Project

File References Format

See `src/lib/supabase.ts:23-45` for client initialization
Review `supabase/migrations/20251014000000.sql` for schema
Check `supabase/functions/chat/index.ts:67` for AI proxy logic

Project Locations

• Frontend: src/components/, src/pages/, src/hooks/
• Backend: supabase/functions/*/index.ts
• Database: supabase/migrations/*.sql
• Docs: docs/mvp/, docs/technical-manual/
• Config: CLAUDE.md, package.json, supabase/config.toml

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Remember: Great documentation explains both what the system does and why it was built that way. Include design rationale, alternatives considered, and trade-offs made. This helps future developers understand the system's evolution and make informed changes.