842 boosters for "pi" — open source, verified from GitHub, ready to install
Chef-vault Copilot Instructions provides GitHub Copilot with detailed repository structure and context for the chef-vault Ruby gem, enabling developers to securely manage passwords and secrets in Chef environments. Developers working with Chef infrastructure and secret management benefit from improved code completion and contextual assistance.
This skill parses natural language shopping queries to extract structured product requirements like attributes, price limits, and specifications for e-commerce agents. It benefits developers building AI-powered shopping assistants and agents that need intelligent query understanding.
mq is a jq-like CLI tool for querying and transforming Markdown files, with development guidelines covering Rust conventions, project structure, and multi-platform integrations (LSP, DAP, WASM, Python). Developers building Markdown processing pipelines or contributing to the mq project benefit from these structured instructions.
"description": "Open-source cross-agent memory layer for coding agents across Cursor, Claude Code, Codex, Windsurf, Gemini CLI, Copilot, Kiro, OpenCode, Antigravity, and Trae via MCP.", "sideEffects": false, "memorix": "./dist/cli/index.js"
This booster enables developers to manage Alibaba Cloud CDN operations—including domain onboarding, cache management, and certificate updates—directly through an AI coding assistant with OpenAPI/SDK integration. It's valuable for teams building or maintaining CDN infrastructure on Alibaba Cloud.
Official MCP server that integrates Anytype's API with Claude, enabling developers to programmatically interact with Anytype workspaces and data through Claude's context protocol.
"name": "swift-testing-expert", "description": "Expert Swift Testing guidance for test structure, #expect/#require usage, traits and tags, parameterized tests, async waiting patterns, parallel execution, and XCTest migration.", "name": "Antoine van der Lee",
A PHP SDK for building AI agents with structured outputs and multi-agent orchestration, enabling developers to decompose complex tasks into specialized subagents with isolated contexts and independent execution.
instructor-php enables PHP developers to build intelligent agents with structured data outputs and subagent orchestration using Claude's LLM capabilities. It's useful for developers building complex AI systems that need task decomposition and multi-agent coordination in PHP environments.
A Cursor IDE rules configuration for the pig-ui framework that enforces MCP feedback loops during development workflows. Beneficial for teams using Spring Boot 3.5, Spring Cloud, and Vue with role-based access control requirements.
A Socratic tutoring prompt for Copilot that guides students through coursework by providing hints and documentation references rather than direct answers. Ideal for educators and students seeking guided learning experiences in summer school settings.
An MCP adapter that extends the Pi coding agent to work seamlessly with Claude Desktop and Claude Code, enabling developers to integrate Model Context Protocol capabilities into their AI-powered coding workflows.
A specialized diagnostic tool for data engineers to systematically investigate Airflow DAG failures, identify root causes, and implement prevention strategies. Ideal for complex pipeline debugging scenarios requiring deep analysis beyond basic log inspection.
This Copilot prompt establishes coding standards and best practices for the LINUX DO Credit project, covering backend (Go/PostgreSQL/Redis), frontend (TypeScript), and general development guidelines. It benefits developers working on this specific project by ensuring consistent code quality and architectural decisions.
You solve problems by decomposing them: break big tasks into smaller ones, delegate to sub‑agents, combine results. This works for any task — coding, analysis, refactoring, generation, exploration. Your original prompt is also available as a file at — use it when you need to manipulate the question
"description": "A virtual design team for Claude Code, Cursor, Windsurf, Gemini CLI, and Copilot — powered by Naksha. Assembles specialist roles — UI designer, UX researcher, content designer, Figma expert, data viz, email, social, motion, presentation, brand strategy, illustration, video, conversat
Generate images using ModelScope's Tongyi-MAI/Z-Image-Turbo model. Optional: Set to use your own API key.
A security-focused prompt booster for .NET/ASP.NET Core development that enforces OWASP best practices and CWE mitigation in AI-generated code across Claude, Cursor, and Copilot. Developers building secure .NET applications benefit from automated security guardrails embedded in their coding workflow.
A Copilot prompt that helps Laravel developers discover and evaluate useful packages within their ecosystem. Ideal for developers building Laravel applications who want AI-assisted package discovery and recommendations.
A systematic debugging skill for web applications that leverages Chrome DevTools and Playwright MCPs to troubleshoot APIs, authentication flows, and UI issues. Developers working with web apps will benefit from its structured debugging approach and intelligent context discovery.
Guides GitHub for parasite SEO, GEO (AI citation), and curated list creation. GitHub is a Tier 2 Technical Authority platform—high domain authority, fast indexing, very high AI citation probability. Use for repos, README, GitHub Pages, gists, and Awesome-style navigation lists.
Structured approach to improving performance through focused effort, feedback, and continuous refinement. Based on psychologist K. Anders Ericsson's research on expertise acquisition.
Opik MCP Server enables developers to integrate automated prompt optimization directly into Claude through the Model Context Protocol. It's valuable for teams building AI applications who want to systematically improve and test their prompts.
takeshi-bot is a WhatsApp Copilot instruction set that delegates core logic to an external AGENTS.md file for centralized rule management. It's designed for developers building WhatsApp bots on Copilot who want modular, maintainable prompt architecture.
