Skill UI

This skill generates robust, type-safe client Software Development Kits (SDKs) for multiple languages (including Python, TypeScript, Go, and Java) directly from OpenAPI 3.0+ specifications. It automatically handles complex API patterns such as authentication (Bearer, OAuth2), automatic retries with exponential backoff, and sophisticated pagination helpers. Use this when you need to create standardized, idiomatic client libraries to consume a defined API contract across diverse development stacks.

Automatically generate thorough database documentation using database-documentation-gen, covering ERD diagrams, relationships, columns, indexes, triggers, procedures, and interactive HTML reports whenever you need schema insight for onboarding, reviews, or governance.

Generate complete, production-ready REST API implementations from existing OpenAPI specifications or database schemas. This skill scaffolds all necessary CRUD endpoints (GET, POST, PUT, DELETE) across multiple frameworks (Express, FastAPI, Spring Boot, etc.), automatically incorporating features like pagination, filtering, validation, and robust authentication middleware. Ideal for rapidly bootstrapping complex backend services from defined data models.

Automatically generates conventional commit messages by analyzing staged Git changes, identifying types and breaking changes, and formatting the result so you can approve standardized commits quickly after running `/commit-smart` or `/gc`.

Automatically produce mocks, stubs, spies, or fakes for unit tests by analyzing dependencies and using frameworks like Jest or Sinon, so you can isolate modules quickly without hand-writing boilerplate doubles.

Automatically analyzes source files, detects or honors the requested testing framework, and produces comprehensive unit tests with mocks, edge cases, and assertions for Jest, pytest, JUnit, and other frameworks whenever users ask to generate tests.

A comprehensive guide to building enterprise-grade AI applications using Firebase Genkit. This skill covers the full development lifecycle, including implementing advanced RAG systems, multi-step tool-calling agents, and complex workflows across Node.js, Python, and Go. It teaches best practices for schema validation (Zod/Pydantic), robust error handling, OpenTelemetry tracing, and deploying reliably to Firebase Functions or Cloud Run.

Use Rube MCP with Composio’s Getform toolkit to discover, connect, and run schema-aware Getform operations; always search tools first, verify active connections, and wrap executions in memory-aware multi-tool calls for reliable automation.

Describes how to orchestrate Gift Up operations through Composio’s Rube MCP, covering prerequisites, discovery of updated tool schemas, connection checks, multi-tool execution calls, and best practices to avoid stale slugs or schema mismatches.

Provides a workflow for automating GitHub Gist operations by discovering Rube MCP tool schemas, ensuring active connections, and invoking Composio toolkit calls consistently with session reuse and schema compliance.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

This specialized guide is essential for developers migrating projects from Godot 3.x to Godot 4. It systematically covers major technical updates, including GDScript 2.0 syntax changes, mandatory `@export` annotations, adopting the modern `create_tween()` system, and updating signal connections and coroutine handling from `yield` to `await`. Use this resource to ensure a smooth and efficient engine upgrade.