Backend

Define database models and schemas with proper data types, constraints, relationships, and validation rules. Use this skill when creating or modifying database models, ORM entities, schema definitions, or data validation layers. When working on Prisma schema files, TypeORM entities, Drizzle schema definitions, Mongoose models, database model classes, files defining table structures and relationships, validation schemas for database entities, or files implementing data integrity constraints and cascading behaviors.

Principles for writing simple, maintainable Laravel/Livewire code. Use when writing Livewire components, tests, or Blade views. Focuses on avoiding over-engineering.

Validates type contracts between TypeScript interfaces and Pydantic models. Detects field mismatches and type inconsistencies. Related: frontend-backend-mapper for endpoint discovery.

Django full-featured Python web framework with batteries included (ORM, admin, auth)

Detect and synchronize Node.js version specifications across project files.

Hierarchical clustering for nested data grouping

Deploy applications to Coolify servers and Docker VPS instances

Complete RAG (Retrieval-Augmented Generation) pipeline implementation with document ingestion, vector storage, semantic search, and response generation. Supports FastAPI backends with OpenAI and Qdrant. LangChain-free architecture.

Process aviation fuel surcharge bills from Excel files. Supports both automatic detection and Claude-assisted modes. Detects headers, matches columns, parses dates/routes, and fetches contract numbers via API. Use when working with aviation fuel bills, Excel file processing, or when user mentions fuel surcharges,航空燃油账单, or 燃油差价费.

Kotlin/Spring Boot 백엔드 테스트 코드를 생성하는 스킬. 사용자가 "백엔드 테스트 작성해 줘", "서비스 테스트 만들어 줘", "컨트롤러 테스트 생성해 줘" 등의 요청을 할 때 사용합니다. JUnit 5, MockK, Spring Boot Test를 활용한 단위/통합 테스트를 생성합니다.

Managing canvas operations in StickerNest including pan, zoom, selection, viewport, and canvas interactions. Use when implementing canvas navigation, selection tools, drag operations, viewport manipulation, or working with canvas coordinates. Covers useCanvasStore viewport, selection state, and gesture handling.

Initialize Django projects for HTTPS development with virtual environments and mkcert SSL certificates

This skill enables honest, pressure-tested feedback on ideas, decisions, and proposals. Use this skill when prompted for an opinion on whether something is a good idea, should be done, or what to think about an approach.

Create comprehensive PAI skills from tool/CLI/API documentation. Analyzes docs (markdown or URLs via crawl4ai), deduces workflows, generates helper scripts/templates/guardrails, and builds complete skill packages. USE WHEN user says 'create skill from docs', 'build skill for [tool]', 'turn documentation into skill', or provides documentation to transform into a skill.

This skill should be used when the user asks to "create an agent runtime server", "set up agent runtime backend", "configure Modal sandbox", "implement PersistenceAdapter", "start WebSocket server", "create REST API for agents", or needs to build a Node.js backend using @hhopkins/agent-runtime.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Comprehensive prompt engineering techniques for Claude models. Use this skill when crafting, optimizing, or debugging prompts for Claude API, Claude Code, or any Claude-powered application. Covers system prompts, role prompting, multishot examples, chain of thought, XML structuring, long context handling, extended thinking, prompt chaining, Claude 4.x-specific best practices, and agentic orchestration including subagents, agent loops, skills, MCP integration, and multi-agent workflows.

AI/ML APIs, LLM integration, and intelligent application patterns

Expert for building user stories using Test-Driven Development (TDD) with NestJS and @lenne.tech/nest-server. Implements new features by creating story tests first in tests/stories/, then uses generating-nest-servers skill to develop code until all tests pass. Ensures high code quality and security compliance. Use in projects with @lenne.tech/nest-server in package.json dependencies (supports monorepos with projects/*, packages/*, apps/* structure).

Enterprise-grade production readiness assessment system for comprehensive codebase evaluation. Use when (1) Evaluating a GitHub repository for production deployment, (2) Conducting pre-launch security and architecture reviews, (3) Assessing technical debt and system reliability, (4) Identifying gaps, vulnerabilities, and incomplete features, (5) Generating actionable remediation plans for engineering teams, (6) Validating scalability, observability, and operational readiness, (7) Reviewing cost optimization and resource efficiency, (8) Auditing compliance with industry standards (SOC2, GDPR, HIPAA, PCI-DSS), (9) Evaluating API contracts and integration stability, (10) Assessing team knowledge transfer and documentation completeness. Performs CTO-level multi-dimensional analysis exceeding top-tier tech company standards.