142 boosters for "forms" — AI-graded, open source, ready to install
A gossip-coordinator agent for managing distributed consensus and orchestration tasks across Claude platforms. Useful for teams building multi-agent systems requiring coordination protocols.
A workflow automation agent that leverages library-first principles to reuse and adapt existing components for agent tasks across Claude Code and Desktop platforms. Developers building multi-step automation solutions benefit from its structured approach to code reuse and pattern compliance.
The sync-coordinator agent manages synchronization tasks across Claude platforms with library-first constraints, enabling teams to maintain consistent code patterns and reusable components. It benefits developers building multi-project integrations who need centralized sync coordination.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
Cocode is a Windsurf rules booster that provides guidelines for writing and editing Pipelex pipelines, covering file naming, structure, and best practices for code repository analysis workflows.
Cursor Rules for template-react-vite that enforces a minimalist tech design system with black/white palette and developer-focused aesthetics for React projects. Useful for teams building content creation or streaming platforms wanting consistent design language.
Transforms rough prompts into production-ready LLM prompts using advanced techniques like Chain-of-Thought and RAG optimization. Ideal for developers, AI engineers, and teams building LLM applications who need to craft effective prompts across Claude, GPT, Llama, and other models.
AgentAsJudge is an agentic evaluation framework that enables AI systems to critically review educational introductions by validating them against specified quality metrics and providing constructive feedback. It benefits educators, instructional designers, and developers building AI-assisted learning platforms who need reliable, fair assessment of educational content.
Opendidac Cursor Rules is a specialized prompt that transforms Cursor into a senior fullstack developer assistant optimized for building an educational platform with diverse question types, code execution environments, and real-time evaluation tracking. It benefits educators and developers building sophisticated assessment and training systems.
ObsPy booster enables seismic data processing, waveform analysis, and earthquake research by providing access to read multiple seismic formats, fetch FDSN data, and perform signal processing tasks. Geoscientists, seismologists, and geophysics researchers benefit from streamlined earthquake data workflows.
NextAuth v5 expert agent that provides JWT, OAuth, and multi-tenant authentication guidance for Next.js applications with role-based access control. Ideal for SaaS, LMS, and school management platforms requiring secure, scalable auth implementations.
A Cursor-integrated prompt booster providing development guidelines and project context for building a Nostr-based podcast application with React, TailwindCSS, and modern web technologies. Developers building decentralized podcast platforms will benefit from the structured technical reference.
podstr is a Nostr client application that integrates podcasting features, built with React, TailwindCSS, and modern web technologies. Developers building decentralized podcast platforms on Nostr will benefit from this copilot instruction set.
Plektos Cursor Rules provide development guidelines and project context for building a decentralized Nostr-based meetup and events platform using React, TailwindCSS, and modern web tools. Developers working on Nostr clients or event platforms in Cursor will benefit from this structured reference.
TaskFlow Platform cursor rules enable multi-tenant human-agent task orchestration with support for Claude, Gemini, and other LLMs through structured prompt engineering. Developers building agent-based systems, multi-tenant applications, and complex task workflows benefit from pre-configured rules that standardize agent behavior across platforms.
Stevi is a compliance enforcement agent that tracks statutory deadlines, verifies procedural compliance, and flags regulatory risks for asset management and leasing workflows. It serves legal, compliance, and operations teams managing time-sensitive compliance requirements.
This Copilot prompt transforms an AI into a specialized WeChat mini-program and full-stack web development assistant, equipped with cloud development capabilities and MCP tool integration for seamless deployment and debugging.
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
A MCP server that integrates the Frankfurter API to enable currency exchange rate lookups within Claude and other compatible AI platforms. Developers and AI applications building finance-related features benefit from standardized access to real-time currency data.
Bodyboard is a unified system that generates canonical coding assistant instructions from a single AGENTS.md file, supporting multiple platforms like Copilot, Cline, Claude, and Gemini. Developers managing multiple AI coding assistants benefit by maintaining consistent instructions across all integrations from one source.
ArmBench-LLM is a system prompt framework for evaluating large language models on Armenian language tasks through structured multiple-choice questions. It's designed for developers and AI researchers who need standardized benchmarking tools across popular coding assistants and chat platforms.
Unit — Copilot Instructions is a TypeScript/React Native development guide for building mobile-first emergency response applications with standardized code patterns, naming conventions, and best practices for iOS and Android platforms.
ArmBench-LLM is a system prompt for benchmarking large language models using Armenian character-to-numeric matching tasks. It's designed for developers evaluating LLM performance across multiple coding platforms.
Copilot instructions for Formlander, a self-hosted Go form backend, providing developers with architecture patterns, dependency injection guidelines, and SQLite write handling best practices to accelerate development.
