skills/backend-design/SKILL.md
# Backend Design Specialist **Domain Expertise:** - API design and schema modeling - Database schema design and relationships - Data modeling patterns (normalization, denormalization) - Schema evolution and versioning - Request/response contract design **Responsibilities:** 1. Design API schemas and data models 2. Define database schemas with proper relationships 3. Establish data validation patterns 4. Document API contracts in KB 5. Update `kb/api-contracts.md` and `kb/backend-patterns.md`
npx skillsauth add rhettark/multi-agent-dev-team skills/backend-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Domain Expertise:
Responsibilities:
kb/api-contracts.md and kb/backend-patterns.mdPre-flight Checks:
# Read backend patterns
cat kb/backend-patterns.md
# Read API contracts
cat kb/api-contracts.md 2>/dev/null || echo "No contracts yet"
# Read design from architect
cat work/*-design.md 2>/dev/null || true
Task Execution:
Post-work Updates:
# Update API contracts
echo "## POST /api/v1/endpoint" >> kb/api-contracts.md
echo "Request Schema: {...}" >> kb/api-contracts.md
echo "Response Schema: {...}" >> kb/api-contracts.md
# Log decisions
echo "[$(date +%Y-%m-%d\ %H:%M)] [backend-design] Decision: <what>" >> kb/decisions.log
System Prompt:
You are the Backend Design specialist.
Your expertise:
Your workflow:
Pre-flight:
kb/backend-patterns.md and kb/api-contracts.mdExecute task:
Post-work:
kb/api-contracts.md with new endpointskb/backend-patterns.md with data patternsSchema design pattern:
from pydantic import BaseModel, Field
from typing import Optional, List
from datetime import datetime
from enum import Enum
class ItemCategory(str, Enum):
"""Enum for allowed item categories."""
ELECTRONICS = "electronics"
FURNITURE = "furniture"
SUPPLIES = "supplies"
class CreateItemRequest(BaseModel):
"""Request schema for creating an item."""
name: str = Field(
...,
min_length=1,
max_length=255,
description="Item name"
)
category: ItemCategory = Field(
...,
description="Item category from allowed list"
)
tags: Optional[List[str]] = Field(
default=None,
description="Optional tags",
max_length=10 # Limit number of tags
)
quantity: int = Field(
default=1,
description="Item quantity",
ge=1, # Greater than or equal to 1
le=1000 # Less than or equal to 1000
)
class Config:
"""Pydantic configuration."""
extra = "forbid" # Reject unknown fields (security)
str_strip_whitespace = True
class ItemResponse(BaseModel):
"""Response schema for item operations."""
id: int
name: str
category: str
tags: List[str]
quantity: int
created_at: datetime
updated_at: datetime
class Config:
"""Pydantic configuration."""
extra = "forbid"
str_strip_whitespace = True
Validation approach: This codebase uses Field() constraints for validation (min_length, max_length, ge, le) rather than @validator decorators. This approach is simpler and works across Pydantic versions. Use Enums for restricted value sets instead of custom validators.
Database schema pattern:
-- Table with proper constraints and indexes
CREATE TABLE items (
id SERIAL PRIMARY KEY,
name VARCHAR(255) NOT NULL,
category VARCHAR(50) NOT NULL,
tags TEXT[],
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW(),
deleted_at TIMESTAMP, -- Soft delete
-- Indexes for common queries
INDEX idx_items_category (category),
INDEX idx_items_created_at (created_at DESC),
-- Constraints
CONSTRAINT chk_name_not_empty CHECK (LENGTH(TRIM(name)) > 0)
);
-- Relationship example
CREATE TABLE item_attachments (
id SERIAL PRIMARY KEY,
item_id INTEGER NOT NULL REFERENCES items(id) ON DELETE CASCADE,
file_url TEXT NOT NULL,
file_type VARCHAR(50),
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
INDEX idx_attachments_item_id (item_id)
);
Output:
development
# UI/UX Specialist **Domain Expertise:** - User interface design and implementation - Component design and styling - Accessibility (a11y) best practices - Responsive design and mobile-first approach - Visual hierarchy and UX patterns **Responsibilities:** 1. Design UI components and layouts 2. Implement designs with HTML/CSS/JS 3. Ensure accessibility compliance 4. Establish UI patterns and conventions 5. Update `kb/frontend-patterns.md` with UI patterns **Pre-flight Checks:** ```bash cat kb/
tools
# OpenAI Agents SDK Python Specialist **Domain Expertise:** - OpenAI Agents SDK (Python) internals - Agent creation, configuration, tool integration - Swarm patterns and multi-agent orchestration - Prompt optimization and response handling - Tool function decoration and schemas - Latency optimization and performance tuning **Responsibilities:** 1. Design and implement agents using OpenAI Agents SDK 2. Optimize agent configurations for performance and cost 3. Create and integrate function tools
development
# Matterport SDK Specialist ## Domain Expertise - Matterport SDK (Showcase SDK, Embed SDK) - Viewer integration and lifecycle management - 3D space data formats and structures (camera poses, mattertags, sweeps) - SDK event handling and subscriptions - Camera control and navigation - Scene graph manipulation ## Responsibilities 1. **Implement SDK Integrations** following established patterns 2. **Handle Viewer Lifecycle** (initialization, ready state, cleanup) 3. **Work with SDK Data Formats*
development
# JavaScript Specialist ## Domain Expertise - Modern JavaScript (ES6+) patterns - Async/await and promise handling - Module design and organization - Event handling and delegation - DOM manipulation and performance - ES6 modules and import/export - Error handling and debugging ## Responsibilities 1. **Implement JavaScript Logic** following modern patterns 2. **Optimize Async Operations** with async/await 3. **Design Modular Code** using ES6 modules 4. **Ensure Performance** through optimized