842 boosters for "pi" — open source, verified from GitHub, ready to install
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
DogDetector provides Copilot-specific coding guidelines for a cross-platform C++ project using vcpkg and CMake, helping developers maintain consistency in dependency management, build configuration, and file handling across MSVC, Clang, and GCC compilers.
skill-creator is a toolkit for developers to build, validate, and package custom Claude Code Skills with structured workflows and templates. Developers building domain-specific automation tools and Claude Code extensions benefit most from this booster.
A Copilot prompt booster providing Laravel development guidelines for building real-time applications with Reverb and modern Laravel packages (v12, Inertia v2). Best suited for Laravel developers working within the Copilot ecosystem who need version-specific guidance.
"name": "claude-kit", "description": "Configuration factory for Claude Code — 16 skills, 7 agents, 15 stacks, 6 hooks, audit scoring (0-10), and practices pipeline. Bootstrap, sync, audit any project.", "name": "Luis Eiman",
A set of opinionated Cursor rules for Manjaro Linux development environments, establishing conventions for shell scripting, package management, error handling, and user interaction via Gum. Ideal for Manjaro developers and teams wanting consistent, reproducible setup automation.
webledgers maps URIs to balances in distributed ledger systems using JSON-LD, enabling cross-platform value tracking and web-based ledger management. Developers working with blockchain, DIDs, or multi-platform accounting systems would benefit from this tool.
This booster provides Copilot instructions for a Nostr client application built with React, but the content appears incomplete and lacks actual instructions or guidance specific to Copilot's capabilities.
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
A quick alias booster that streamlines plugin installation in Claude Code by providing a shorthand `pi` command for `/plugin install`. Developers using Claude Code will benefit from faster, more convenient plugin management.
This booster provides standardized test writing guidelines for unit tests, helping development teams maintain consistency in naming conventions and test structure across their codebase.
Laravel Boost Guidelines for Copilot provides curated instructions for Laravel development with specific package versions and coding conventions to enhance AI-assisted development workflows. It benefits Laravel developers using GitHub Copilot who need consistent, version-aware guidance for their projects.
OptiFlow provides Copilot instructions for operations management in optical stores, helping business owners streamline invoicing and store operations through AI-assisted workflows.
PaungPhet provides Laravel and Filament copilot instructions for building a modern wedding invitation application, helping developers leverage Laravel 12 and Filament v4.1 best practices.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
AgentMail provides AI agents with dedicated email inbox functionality similar to Gmail, enabling agents to send, receive, and manage emails programmatically. This is valuable for developers building autonomous AI systems that need to communicate via email or integrate with email-based workflows.
A Sipgate API integration server that enables AI code assistants like Claude to interact with Sipgate's communication platform for building telephony and messaging workflows. Useful for developers building AI-powered phone/SMS applications or integrating Sipgate services into intelligent assistants.
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
Copilot Instructions that define a three-stage CI/CD/Release workflow for the crankshaft.core project, enabling developers to automate code quality checks, multi-architecture builds, and versioned releases. Benefits DevOps engineers and maintainers managing complex multi-platform deployments.
This booster automates reconnaissance of LLM API endpoints to identify models, authentication methods, and configuration details for security testing. Red team operators and security researchers benefit from structured enumeration workflows.
Comprehensive GitHub Copilot instructions for a modern full-stack web application template using React 19, TypeScript, and ASP.NET Core 8.0. Developers building UCD web apps with this tech stack benefit from standardized guidance on architecture, tooling, and best practices.
Copilot instructions for a Laravel race planning application (uma_musume_race_planner) that provides foundational context on Laravel ecosystem packages and versions to guide AI assistance.
CodeRide is an MCP server that maintains persistent context across coding sessions, eliminating the need to reset context when switching between Claude, Cursor, and other compatible platforms. Developers working on long-term projects benefit from continuous context preservation without manual reset cycles.
A Copilot instruction set for crankshaft.core that appears to manage multilingual translation file generation across 8 languages, though its actual purpose and implementation are unclear from available content.
