ring:pre-dev-api-design

📁 lerianstudio/ring 📅 12 days ago
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npx skills add https://github.com/lerianstudio/ring --skill ring:pre-dev-api-design

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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

✅ 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

❌ 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 (✅) Protocol-Specific (❌)
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” → “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: ✅ PASS (all checked) → Data Modeling | ⚠️ CONDITIONAL (remove protocol details) | ❌ 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

  1. ✅ Lock contracts – interfaces are now implementation reference
  2. 🎯 Use contracts as input for Data Modeling (ring:pre-dev-data-model)
  3. 🚫 Never add protocol specifics retroactively
  4. 📋 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.