141 boosters for "framework" — AI-graded, open source, ready to install
A comprehensive guide to creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI agents with defined roles, capabilities, and collaboration features. Ideal for AI engineers and developers building multi-agent systems.
Heuristic scoring (no AI key configured).
Cursor Rules for Umi.js provides developers with a framework-specific guide for adding built-in feature plugins to the Umi React framework. This booster helps React/Umi developers understand the plugin architecture and integration process within their Cursor IDE.
A comprehensive guide for creating specialized AI agents in the Lobster AI framework, helping developers build domain-specific tools with proper package structure and configuration standards.
⚡ Fetching and realtime data exchange framework.
Swarm Agents is a production-oriented multi-agent orchestration framework that enables persistent, autonomous agents to coordinate through peer-to-peer messaging and shared workspaces, supporting complex task decomposition and dynamic agent spawning. It benefits developers building sophisticated multi-agent AI systems who need robust orchestration, convergence detection, and supervisor-based monitoring.
A multi-agent framework that dynamically spawns specialized agents (frontend, backend, DevOps, etc.) to autonomously handle software development tasks across platforms like Claude and OpenAI. Developers building complex applications benefit from delegating work to a coordinated swarm of AI agents that each handle domain-specific responsibilities.
Model Context Protocol (MCP) Server for creating multiplayer mobile games with Rune SDK
Sub-Agents is a lightweight framework for decomposing complex tasks into specialized child agents that collaborate under a parent orchestrator agent. Developers building multi-agent systems in Python will benefit from this pattern for creating modular, reusable agent hierarchies.
A Python SDK for building production-ready agentic AI applications with Claude, featuring agents, handoffs, and guardrails for complex multi-agent workflows. Developers building AI agents and multi-tool systems will benefit from this lightweight, easy-to-learn framework.
A prompt booster that teaches AI assistants (in Windsurf) how to help developers build static HTML websites using the Static generator framework. Ideal for developers creating blogs, landing pages, and personal sites who want AI-assisted development.
Guide for testing practices and frameworks
Scaffold-Stark 2 is a comprehensive Copilot instruction set for building dApps on Starknet using NextJS, providing developers with pre-built hooks, components, and best practices for smart contract interactions. Ideal for Starknet developers seeking a modern, well-structured development framework with out-of-the-box tooling.
A development guidelines prompt for Python projects using Windsurf, establishing coding standards for event-driven systems with clear conventions for testing, type hints, and tooling. Useful for teams standardizing their Windsurf workflows and maintaining consistent code practices across event-sourcing architectures.
A comprehensive guide for creating and managing autonomous agents within the CrewAI framework, enabling developers to build specialized AI team members with defined roles, goals, and collaborative capabilities. Ideal for developers building multi-agent AI systems who need clear patterns for agent design and configuration.
Windsurf Rules for agenterra establishes mandatory instructions and workflows for AI agent development, including PR practices and test-driven development standards. It benefits developers working with the agenterra agent framework who need consistent operational guidelines.
A conceptual Copilot prompt framework proposing an accounting-based alternative to traditional banking for U.S. Treasury deployment, leveraging game theory and geometric algebra principles.
A Windsurf rules collection that guides AI coding assistants to implement Gitflow branching workflows and best practices. Useful for teams adopting structured version control and release management processes.
A Windsurf rules collection that guides AI coding assistants in implementing data-driven UI testing patterns, helping developers separate test logic from test data for improved maintainability and scalability.
A .windsurfrules collection that guides AI coding assistants in implementing rigorous backtesting techniques for trading strategies, helping developers avoid common pitfalls like lookahead bias and overfitting. Useful for quants and trading engineers building reliable strategy validation systems.
A curated collection of Windsurf rules files that guide AI coding assistants in generating Helm charts following industry best practices, architecture patterns, and Kubernetes conventions. Developers using Codeium's Cascade or similar AI tools benefit by getting standardized, production-ready Helm chart scaffolding and configurations.
A curated collection of .windsurfrules files that guide AI coding assistants in generating performant, well-architected code by establishing best practices for optimization, database tuning, caching, and concurrency. Developers using Windsurf/Cascade benefit from standardized coding patterns that reduce manual code review overhead.
OPSX: Verify ensures implementation code matches specification artifacts before archiving, helping teams maintain consistency between design and code. Developers working with the OpenSpec framework will benefit from automated verification workflows.
