ring:pre-dev-api-design
npx skills add https://github.com/lerianstudio/ring --skill ring:pre-dev-api-design
Agent 安装分布
Skill 文档
API/Contract Design – Defining Component Interfaces
Foundational Principle
Component contracts and interfaces must be defined before technology/protocol selection.
Jumping to implementation without contract definition creates:
- Integration failures discovered during development
- Inconsistent data structures across components
- Teams blocked waiting for interface clarity
- Rework when assumptions about contracts differ
The API Design answers: WHAT data/operations components expose and consume? The API Design never answers: HOW those are implemented (protocols, serialization, specific tech).
Phase 0: API Standards Discovery (MANDATORY)
Before defining contracts, check for organizational naming standards.
See shared-patterns/standards-discovery.md for complete workflow.
Context: API field naming standards
Output: docs/pre-dev/{feature-name}/api-standards-ref.md
Use AskUserQuestion tool:
Question: “Do you have a data dictionary or API field naming standards to reference?”
- Header: “API Standards”
- multiSelect: false
- Options:
- “No – Use industry best practices” (description: “Generate contracts using standard naming conventions”)
- “Yes – URL to document” (description: “Provide a URL to your data dictionary or standards document”)
- “Yes – File path” (description: “Provide a local file path (.md, .json, .yaml, .csv)”)
If “Yes” Selected:
1. Load the document:
| Source Type | Tool | Actions |
|---|---|---|
| URL | WebFetch | Fetch document content; parse for field definitions, naming rules, validation patterns |
| File path | Read | Read file content; support .md (Markdown tables), .json (structured), .yaml (structured), .csv (tabular) |
2. Extract standards:
MUST extract these elements if present:
| Element | What to Extract | Example |
|---|---|---|
| Field naming convention | camelCase, snake_case, PascalCase | userId vs user_id |
| Standard field names | Common fields used across APIs | createdAt, updatedAt, isActive |
| Data type formats | How to represent dates, IDs, amounts | ISO8601, UUID v4, Decimal(10,2) |
| Validation patterns | Regex, constraints, rules | Email RFC 5322, phone E.164 |
| Standard error codes | Organizational error naming | EMAIL_ALREADY_EXISTS vs DuplicateEmail |
| Pagination fields | Standard query/response pagination | page, pageSize, totalCount |
3. Save extracted standards:
Output to: docs/pre-dev/{feature-name}/api-standards-ref.md
Format:
# API Standards Reference - {Feature Name}
Source: {URL or file path}
Extracted: {timestamp}
## Field Naming Conventions
- IDs: `{pattern}` (example)
- Timestamps: `{pattern}` (example)
- Booleans: `{pattern}` (example)
- Collections: `{pattern}` (example)
## Standard Fields
| Field | Type | Format | Validation | Example |
|-------|------|--------|------------|---------|
| userId | string | UUID v4 | Required, unique | "550e8400-e29b-41d4-a716-446655440000" |
| email | string | RFC 5322 | Required, unique | "user@example.com" |
| createdAt | string | ISO 8601 | Auto-generated | "2026-01-23T10:30:00Z" |
## Standard Error Codes
| Code | Usage | HTTP Equivalent (for reference) |
|------|-------|--------------------------------|
| EMAIL_ALREADY_EXISTS | Duplicate email registration | 409 Conflict |
| INVALID_INPUT | Validation failure | 400 Bad Request |
## Validation Patterns
| Pattern Type | Rule | Example |
|-------------|------|---------|
| Email | RFC 5322, max 254 chars | "user@example.com" |
| Phone | E.164 format | "+5511987654321" |
## Pagination Standards
| Field | Type | Description |
|-------|------|-------------|
| page | integer | 1-indexed page number |
| pageSize | integer | Items per page (max 100) |
| totalCount | integer | Total items across all pages |
4. Apply throughout Gate 4:
- Use standard field names in operation definitions
- Reference validation patterns in contract constraints
- Apply naming conventions consistently
- Note any justified deviations with rationale
If Dictionary Conflicts with Existing Codebase:
If Phase 0 from Gate 0 (Research) found existing patterns that conflict with the dictionary:
STOP and use AskUserQuestion:
Question: “Dictionary says {dictionary_pattern}, but codebase uses {codebase_pattern}. Which should we follow?”
- Header: “Standards Conflict”
- multiSelect: false
- Options:
- “Follow dictionary” (description: “Use organizational standards, refactor existing code later”)
- “Follow codebase” (description: “Maintain consistency with existing implementation”)
- “Hybrid approach” (description: “Let me decide per-field”)
If “No” Selected (Industry Best Practices):
Proceed with standard naming conventions:
- camelCase for field names (JavaScript/TypeScript)
- snake_case for field names (Python/Ruby/SQL)
- ISO 8601 for timestamps
- UUID v4 for identifiers
- RFC 5322 for emails
Document the choice in api-standards-ref.md with rationale.
Mandatory Workflow
| Phase | Activities |
|---|---|
| 0. API Standards Discovery | Check for organizational field naming standards (data dictionary); load from URL or file if provided; extract field conventions, types, validation patterns; save to api-standards-ref.md for reference throughout gate |
| 1. Contract Analysis | Load approved TRD (Gate 3), Feature Map (Gate 2), PRD (Gate 1); identify integration points from TRD component diagram; extract data flows |
| 2. Contract Definition | Per interface: define operations, specify inputs/outputs, define errors, document events, set constraints (validation, rate limits), version contracts; apply standards from Phase 0 if available |
| 3. Gate 4 Validation | Verify all checkboxes in validation checklist before proceeding to Data Modeling |
Explicit Rules
â DO Include
Operation names/descriptions, input parameters (name, type, required/optional, constraints), output structure (fields, types, nullable), error codes/descriptions, event types/payloads, validation rules, rate limits/quotas, idempotency requirements, auth/authz needs (abstract), versioning strategy
â NEVER Include
HTTP verbs (GET/POST/PUT), gRPC/GraphQL/WebSocket details, URL paths/routes, serialization formats (JSON/Protobuf), framework code, database queries, infrastructure, specific auth libraries
Abstraction Rules
| Element | Abstract (â ) | Protocol-Specific (â) |
|---|---|---|
| Operation | “CreateUser” | “POST /api/v1/users” |
| Data Type | “EmailAddress (validated)” | “string with regex” |
| Error | “UserAlreadyExists” | “HTTP 409 Conflict” |
| Auth | “Requires authenticated user” | “JWT Bearer token” |
| Format | “ISO8601 timestamp” | “time.RFC3339” |
Rationalization Table
| Excuse | Reality |
|---|---|
| “No need to ask about data dictionary” | Organizations have standards. Check first, don’t assume. Phase 0 is MANDATORY. |
| “I’ll just use common sense for field names” | “Common sense” varies. Ask for standards, or explicitly choose best practices. |
| “Skip Phase 0, user will mention standards if important” | User doesn’t know when to mention it. YOU must ask proactively. |
| “REST is obvious, just document endpoints” | Protocol choice goes in Dependency Map. Define contracts abstractly. |
| “We need HTTP codes for errors” | Error semantics matter; HTTP codes are protocol. Abstract the errors. |
| “Teams need to see JSON examples” | JSON is serialization. Define structure; format comes later. |
| “The contract IS the OpenAPI spec” | OpenAPI is protocol-specific. Design contracts first, generate specs later. |
| “gRPC/GraphQL affects the contract” | Protocols deliver contracts. Design protocol-agnostic contracts first. |
| “We already know it’s REST” | Knowing doesn’t mean documenting prematurely. Stay abstract. |
| “Framework validates inputs” | Validation logic is universal. Document rules; implementation comes later. |
| “This feels redundant with TRD” | TRD = components exist. API = how they talk. Different concerns. |
| “URL structure matters for APIs” | URLs are HTTP-specific. Focus on operations and data. |
| “But API Design means REST API” | API = interface. Could be REST, gRPC, events, or in-process. Stay abstract. |
Red Flags – STOP
If you catch yourself writing any of these in API Design, STOP:
- HTTP methods (GET, POST, PUT, DELETE, PATCH)
- URL paths (/api/v1/users, /users/{id})
- Protocol names (REST, GraphQL, gRPC, WebSocket)
- Status codes (200, 404, 500)
- Serialization formats (JSON, XML, Protobuf)
- Authentication tokens (JWT, OAuth2 tokens, API keys)
- Framework code (Express routes, gRPC service definitions)
- Transport mechanisms (HTTP/2, TCP, UDP)
When you catch yourself: Replace protocol detail with abstract contract. “POST /users” â “CreateUser operation”
Gate 4 Validation Checklist
| Category | Requirements |
|---|---|
| Contract Completeness | All component-to-component interactions have contracts; all external integrations covered; all event/message contracts defined; client-facing APIs specified |
| Operation Clarity | Each operation has clear purpose/description; consistent naming convention; idempotency documented; batch operations identified |
| Data Specification | All inputs typed and documented; required vs optional explicit; outputs complete; null/empty cases handled |
| Error Handling | All scenarios identified; error codes/types defined; actionable messages; retry/recovery documented |
| Event Contracts | All events named/described; payloads specified; ordering/delivery semantics documented; versioning defined |
| Constraints & Policies | Validation rules explicit; rate limits defined; timeouts specified; backward compatibility exists |
| Technology Agnostic | No protocol specifics; no serialization formats; no framework names; implementable in any protocol |
Gate Result: â PASS (all checked) â Data Modeling | â ï¸ CONDITIONAL (remove protocol details) | â FAIL (incomplete)
Contract Template Structure
Output to docs/pre-dev/{feature-name}/api-design.md with these sections:
| Section | Content |
|---|---|
| Overview | TRD/Feature Map/PRD references, status, last updated |
| Versioning Strategy | Approach (semantic/date-based), backward compatibility policy, deprecation process |
| Component Contracts | Per component: purpose, integration points (inbound/outbound), operations |
Per-Operation Structure
| Field | Content |
|---|---|
| Purpose | What the operation does |
| Inputs | Table: Parameter, Type, Required, Constraints, Description |
| Validation Rules | Format patterns, business rules |
| Outputs (Success) | Table: Field, Type, Nullable, Description + abstract structure |
| Errors | Table: Error Code, Condition, Description, Retry? |
| Idempotency | Behavior on duplicate calls |
| Authorization | Required permissions (abstract) |
| Related Operations | Events triggered, downstream calls |
Event Contract Structure
| Field | Content |
|---|---|
| Purpose/When Emitted | Trigger conditions |
| Payload | Table: Field, Type, Nullable, Description |
| Consumers | Services that consume this event |
| Delivery Semantics | At-least-once, at-most-once, exactly-once |
| Ordering/Retention | Ordering guarantees, retention period |
Additional Sections
| Section | Content |
|---|---|
| Cross-Component Integration | Per integration: purpose, operations used, data flow diagram (abstract), error handling |
| External System Contracts | Operations exposed to us, operations we expose, per-operation details |
| Custom Type Definitions | Per type: base type, format, constraints, example |
| Naming Conventions | Operations (verb+noun), parameters (camelCase), events (past tense), errors (noun+condition) |
| Rate Limiting & Quotas | Per-operation limits table, quota policies, exceeded limit behavior |
| Backward Compatibility | Breaking vs non-breaking changes, deprecation timeline |
| Testing Contracts | Contract testing strategy, example test scenarios |
| Gate 4 Validation | Date, validator, checklist, approval status |
Common Violations
| Violation | Wrong | Correct |
|---|---|---|
| Protocol Details | “Endpoint: POST /api/v1/users, Status: 201 Created, 409 Conflict” | “Operation: CreateUser, Errors: EmailAlreadyExists, InvalidInput” |
| Implementation Code | JavaScript regex validation code | “email must match RFC 5322 format, max 254 chars” |
| Technology Types | JSON example with “uuid”, “Date”, “Map<String,Any>” | Table with abstract types: Identifier (UUID format), Timestamp (ISO8601), ProfileObject |
Confidence Scoring
| Factor | Points | Criteria |
|---|---|---|
| Contract Completeness | 0-30 | All ops: 30, Most: 20, Gaps: 10 |
| Interface Clarity | 0-25 | Clear/unambiguous: 25, Some interpretation: 15, Vague: 5 |
| Integration Complexity | 0-25 | Simple point-to-point: 25, Moderate deps: 15, Complex orchestration: 5 |
| Error Handling | 0-20 | All scenarios: 20, Common cases: 12, Minimal: 5 |
Action: 80+ autonomous generation | 50-79 present options | <50 ask clarifying questions
After Approval
- â Lock contracts – interfaces are now implementation reference
- ð¯ Use contracts as input for Data Modeling (
ring:pre-dev-data-model) - ð« Never add protocol specifics retroactively
- ð Keep technology-agnostic until Dependency Map
The Bottom Line
If you wrote API contracts with HTTP endpoints or gRPC services, remove them.
Contracts are protocol-agnostic. Period. No REST. No GraphQL. No HTTP codes.
Protocol choices go in Dependency Map. That’s a later phase. Wait for it.
Define the contract. Stay abstract. Choose protocol later.