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This skill helps define API contracts and data models for PRD v0.6 by generating API and DBT entries that align with screens and journeys.
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---
name: prd-v06-technical-specification
description: Define implementation contracts (APIs and data models) that developers will build against during PRD v0.6 Architecture. Triggers on requests to define APIs, design database schema, create data models, or when user asks "define APIs", "data model", "database schema", "API contracts", "technical spec", "endpoint design", "schema design". Consumes ARC- (architecture), TECH- (Build items), UJ- (flows), SCR- (screens). Outputs API- entries for endpoints and DBT- entries for data models. Feeds v0.7 Build Execution.
---
# Technical Specification
Position in workflow: v0.6 Architecture Design → **v0.6 Technical Specification** → v0.7 Build Execution
Technical specification defines the **contracts** developers build against: API endpoints and data models. This is the bridge between architecture and implementation.
## Specification Types
| Type | What It Defines | Example |
|------|-----------------|---------|
| **API-** | Endpoint contracts | POST /users, GET /reports/:id |
| **DBT-** | Data model/schema | Users table, Reports table |
**Rule**: Every API- should know which DBT- it reads/writes. Every DBT- should know which API- accesses it.
## Specification Process
1. **Pull ARC- decisions** — System structure and boundaries
2. **Pull TECH- Build items** — What we're implementing
3. **Pull UJ- journeys** — User flows the API must support
4. **Pull SCR- screens** — UI data requirements
5. **Define API contracts** for each endpoint:
- What's the request/response shape?
- What auth is required?
- What errors can occur?
6. **Define data models** for each entity:
- What fields exist?
- What relationships?
- What constraints?
7. **Validate consistency**:
- Does every screen have APIs to fetch its data?
- Does every API response map to DBT- fields?
## API- Output Template
```
API-XXX: [Endpoint Name]
Method: [GET | POST | PUT | PATCH | DELETE]
Path: [/resource/{id}/action]
Purpose: [What this endpoint does]
Auth: [Public | User | Admin | Service]
Journey: [UJ-XXX that uses this]
Screen: [SCR-XXX that calls this]
Request:
Headers:
- Authorization: Bearer <token>
- Content-Type: application/json
Params:
- id: string (required) — Resource identifier
Query:
- limit: number (optional, default 20) — Pagination limit
Body:
{
field: type — Description
}
Response:
Success (200/201):
{
data: { ... }
}
Errors:
- 400: Invalid input — [when this occurs]
- 401: Unauthorized — [when this occurs]
- 404: Not found — [when this occurs]
- 500: Server error — [when this occurs]
Business Rules: [BR-XXX enforced here]
Data: [DBT-XXX entities accessed]
Rate Limit: [requests/minute if applicable]
```
**Example API- entry:**
```
API-001: Create Report
Method: POST
Path: /api/reports
Purpose: Create a new report from selected data source and template
Auth: User
Journey: UJ-001 (Step 1 - Create Report)
Screen: SCR-002 (Report Builder)
Request:
Headers:
- Authorization: Bearer <token>
- Content-Type: application/json
Body:
{
title: string (required) — Report name
templateId: string (required) — Selected template
dataSourceId: string (required) — Connected data source
options: {
dateRange: { start: ISO8601, end: ISO8601 }
filters: [{ field: string, operator: string, value: any }]
}
}
Response:
Success (201):
{
data: {
id: string
title: string
status: "pending" | "generating" | "ready"
createdAt: ISO8601
}
}
Errors:
- 400: Invalid input — Missing required field or invalid templateId
- 401: Unauthorized — Invalid or expired token
- 403: Forbidden — User doesn't own data source
- 404: Not found — Template or data source not found
- 429: Too many requests — Rate limit exceeded
Business Rules: BR-015 (max 100 reports per user)
Data: DBT-001 (reports), DBT-002 (data_sources)
Rate Limit: 10 requests/minute
```
## DBT- Output Template
```
DBT-XXX: [Entity Name]
Purpose: [What this entity represents]
Table: [database_table_name]
Fields:
- id: uuid — Primary key, auto-generated
- [field_name]: [type] — Description [constraints]
- created_at: timestamp — Record creation (auto)
- updated_at: timestamp — Last modification (auto)
Relationships:
- belongs_to: [DBT-YYY] via [foreign_key]
- has_many: [DBT-ZZZ]
Indexes:
- [field_name] — [Query pattern it supports]
Constraints:
- [field]: [UNIQUE | NOT NULL | CHECK expression]
Business Rules: [BR-XXX that affect this entity]
APIs: [API-XXX that read/write this]
```
**Example DBT- entry:**
```
DBT-001: Reports
Purpose: Stores user-generated reports with configuration and status
Table: reports
Fields:
- id: uuid — Primary key
- user_id: uuid — Report owner (FK → users) [NOT NULL]
- title: varchar(255) — Display name [NOT NULL]
- template_id: uuid — Template used (FK → templates) [NOT NULL]
- data_source_id: uuid — Data source (FK → data_sources) [NOT NULL]
- status: enum('pending','generating','ready','failed') — Generation status [NOT NULL, DEFAULT 'pending']
- options: jsonb — Report configuration (date range, filters) [DEFAULT '{}']
- output_url: varchar(500) — Generated report file URL [NULL until ready]
- created_at: timestamp — [NOT NULL, DEFAULT now()]
- updated_at: timestamp — [NOT NULL, DEFAULT now()]
Relationships:
- belongs_to: DBT-010 (users) via user_id
- belongs_to: DBT-002 (templates) via template_id
- belongs_to: DBT-003 (data_sources) via data_source_id
Indexes:
- user_id — List reports by user
- (user_id, created_at DESC) — List recent reports
- status — Find pending reports for processing
Constraints:
- title: NOT NULL, length 1-255
- status: NOT NULL, valid enum value
Business Rules: BR-015 (max 100 reports per user — enforce in API)
APIs: API-001 (create), API-002 (get), API-003 (list), API-005 (delete)
```
## API Design Principles
| Principle | Guidance | Example |
|-----------|----------|---------|
| **Resource-oriented** | URLs are nouns, not verbs | `/reports` not `/createReport` |
| **Consistent naming** | Plural nouns, kebab-case | `/data-sources` not `/dataSource` |
| **Stateless** | No server-side sessions | Auth via token, not cookie session |
| **Versioned** | Prefix for breaking changes | `/v1/reports` |
| **Documented errors** | Clear codes and messages | `{ error: { code: "LIMIT_EXCEEDED", message: "..." } }` |
## Data Model Principles
| Principle | Guidance | Example |
|-----------|----------|---------|
| **Normalized** | Avoid redundancy (unless denormalized for performance) | User name in users table, not duplicated |
| **Audit trail** | created_at, updated_at on all tables | Track when records change |
| **Soft delete** | deleted_at instead of hard delete (when needed) | Recover deleted data |
| **Foreign keys** | Enforce referential integrity | user_id → users.id |
| **Index strategy** | Index fields in WHERE and JOIN | Filter fields, FK columns |
## Validation Checklist
Use this to ensure spec completeness:
### Screen-to-API Validation
- [ ] Every SCR- screen has APIs to fetch its data
- [ ] Every form submission maps to a POST/PUT/PATCH
- [ ] Every list view has a paginated GET
### Journey-to-API Validation
- [ ] Every UJ- step that needs data has an API call
- [ ] API sequence supports journey flow
- [ ] Error states in journey have error responses
### API-to-Data Validation
- [ ] Every API- response field maps to DBT- fields
- [ ] Every API- that writes data has a target DBT-
- [ ] Business rules (BR-) enforced in API or DB constraint
### Orphan Check
- [ ] No API- without SCR-/UJ- consumer
- [ ] No DBT- table unused by any API-
- [ ] No dead code paths
## Anti-Patterns to Avoid
| Anti-Pattern | Signal | Fix |
|--------------|--------|-----|
| **API/UI mismatch** | Screen needs data not in any API | Add API- or modify existing |
| **Schema sprawl** | 50+ tables for MVP | Consolidate; YAGNI applies |
| **Missing constraints** | No validation, anything accepted | Add BR- enforcement |
| **N+1 queries baked in** | API design requires multiple calls for one view | Add compound endpoints |
| **No error handling** | Only happy path documented | Define all error responses |
| **Vague types** | `data: any` | Specify exact shape |
## Quality Gates
Before proceeding to Build Execution:
- [ ] All SCR- screens have supporting API- endpoints
- [ ] All UJ- journeys can be completed via API- calls
- [ ] All API- responses map to DBT- fields
- [ ] All BR- rules enforced in API- or DBT- constraints
- [ ] No orphaned tables or endpoints
- [ ] Error responses documented for all endpoints
## Downstream Connections
API- and DBT- entries feed into:
| Consumer | What It Uses | Example |
|----------|--------------|---------|
| **v0.7 Epic Scoping** | API- and DBT- define EPIC scope | EPIC-01 implements API-001–005 |
| **v0.7 Test Planning** | API- defines test contracts | TEST-001 validates API-001 |
| **v0.7 Implementation Loop** | API-/DBT- are implementation tasks | Code implements API-001 |
| **API Documentation** | API- becomes OpenAPI spec | Swagger from API- entries |
## Detailed References
- **API and data model examples**: See `references/examples.md`
- **API- entry template**: See `assets/api.md`
- **DBT- entry template**: See `assets/dbt.md`
This skill defines implementation contracts (API endpoints and data models) that developers build against during PRD v0.6 Architecture. It turns architecture decisions, build items, journeys, and screens into concrete API- and DBT- entries that feed v0.7 Build Execution. The output enforces traceability: every API- references the DBT- entities it reads/writes and every DBT- lists the APIs that access it.
The skill consumes ARC- (architecture), TECH- (build items), UJ- (user journeys), and SCR- (screens) inputs. It maps each screen and journey to required endpoints, defines request/response shapes, auth, errors, business rules, and then produces DBT- data model entries showing fields, relationships, indexes, and constraints. It validates consistency with a checklist (screen-to-API, journey-to-API, API-to-data, orphan checks) and flags gaps or anti-patterns.
What inputs does this skill require?
It consumes ARC- (architecture), TECH- (build items), UJ- (journeys), and SCR- (screens) artifacts to produce API- and DBT- entries.
How does it ensure APIs and data models stay consistent?
It uses a validation checklist that verifies every screen has APIs, every API response maps to DBT- fields, and no DBT- or API- remains orphaned.
Where do the outputs feed next?
API- and DBT- entries feed v0.7 Build Execution, including epic scoping, test planning, implementation tasks, and API documentation generation.