408 boosters for "orm" — open source, verified from GitHub, ready to install
An MCP server providing Bazi (八字) divination and Chinese metaphysics calculations, enabling Claude to analyze birth charts and offer traditional Chinese destiny readings.
Advanced Eloquent ORM patterns for performance and query reuse. Use when working with Eloquent relationships, scopes, or advanced query optimization in Laravel. (triggers: app/Models/**/*.php, scope, with, eager, chunk, model)
Cursor Rules for xUnit-based .NET testing that establishes guidelines for writing reliable, maintainable tests with proper CI/CD integration. Developers working on .NET projects in Cursor will benefit from standardized test patterns and quality expectations.
LLM-first SEO analysis skill with 16 specialized sub-skills, 10 specialist agents, and 33 scripts for website, blog, and GitHub repository optimization. For prompt reliability in Codex/agent IDEs, map common user wording to a fixed workflow: When the user requests SEO analysis, follow this routing:
"name": "clawdstrike", "name": "Backbay Labs", "email": "hello@backbay.io"
A technical reference guide for generating and understanding Apple Final Cut Pro FCPXML format, enabling developers to programmatically create FCP projects with proper structure, media references, and timeline elements.
Automates conversion of product requirement documents (PRDs) into Ralph's prd.json format for autonomous agent execution. Developers managing Ralph-based autonomous systems benefit from streamlined PRD structuring and standardization.
XerahS is a cross platform reimagining of the ShareX user interface built with Avalonia. It targets modern UX modular architecture and long term maintainability while preserving core workflows speed and reliability. It provides a foundation for future desktop experiences on Windows, macOS, and Linux
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
Cursor Rules booster provides guidelines for writing efficient form modules in 1C:Enterprise, focusing on client-server interaction patterns and compilation directives. Developers working with form-based UI in 1C will benefit from these performance and architecture best practices.
Voice conversations with Claude (Opus 4.5) about your projects. That's it! Now you can: Claude greets you by name: "Hey Sarah! I've got my-project loaded up."
A multi-language quality validation tool that automatically runs linting, formatting, type checking, and tests across 9 programming languages to ensure code meets standards before PR submission. Developers use it to catch quality issues early and maintain consistent code standards throughout their projects.
A TypeScript-based MCP server that bridges Claude with the Xiaozhi AI platform through tool integration and WebSocket communication. Useful for developers needing to connect Claude instances to Xiaozhi's ecosystem.
Converts Terraform JSON plans into readable markdown for streamlined pull request code reviews. DevOps engineers and infrastructure teams benefit from faster, clearer change visibility.
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web. Trigger this skill when the user: 1. Include Current Year (2026) for up-to-date results
This booster enables AI assistants to interact with Obsidian vaults through CLI commands—reading, creating, and searching notes, managing tasks, and developing plugins. It's useful for users who want to automate Obsidian workflows or debug plugin development with Claude's code execution.
Heuristic scoring (no AI key configured).
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
A plaintext-first docstring formatting specification for Python code that standardizes documentation style across projects. Developers writing or maintaining Python codebases benefit from consistent, readable documentation practices.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
Provides structured guidance for working with CUE schema files and parsing flows in invkfile, invkmod, and config schemas. Developers maintaining or extending CUE-based configuration validation will benefit from this reference.
