46 boosters for "debugging" — AI-graded, open source, ready to install
Purpose is a root cause investigation skill that analyzes error messages and anomalous behavior to identify underlying issues without making fixes, helping developers understand what went wrong. It benefits developers and debugging workflows by providing fact-based, log-driven analysis and investigation guidance.
A structured debugging protocol for Cursor that guides developers through systematic root cause analysis using a phased reconnaissance, isolation, and investigation approach to resolve persistent bugs.
A GitHub Actions debugging skill that analyzes workflow failures using the gh CLI to identify root causes and distinguish between warnings and actual errors. Useful for developers troubleshooting CI/CD pipeline issues.
MCP server that indexes your codebase with semantic search. Ask "find the auth bug I was debugging" instead of grepping. Uses embeddings + SQLite for local vector search. Respects .gitignore, tracks file changes, answers "what did I work on last week?"
A DevOps agent specialized in managing GCP infrastructure, Docker operations, and system troubleshooting—ideal for teams handling cloud deployments and containerized applications. Developers and DevOps engineers benefit from automated infrastructure management and debugging capabilities.
Cursor Rules template providing a problem-solving methodology framework for AI-assisted debugging and code analysis. Useful for developers seeking structured approaches to troubleshooting within Cursor IDE.
Documentation resource for Power Automate specialized agents that generates production-ready JSON workflow definitions. Useful for developers and automation engineers looking to create Power Automate flows programmatically.
A system prompt designed to enhance AI coding assistance for Singapore small business bookkeeping tasks, enabling developers to leverage deep-thinking and systematic debugging capabilities.
A specialized debugging assistant for CalendarBot applications running on Raspberry Pi Zero 2W, helping developers diagnose test failures, performance issues, memory leaks, and calendar-specific bugs in resource-constrained environments.
An MCP server that integrates Monti APM performance monitoring data with Claude, enabling developers to query and analyze Meteor/GraphQL application metrics directly through the Model Context Protocol. Ideal for Meteor developers using Monti APM who want AI-assisted performance analysis and debugging.
Logfire is a debugging skill that queries Pydantic Logfire logs, traces, and performance data to help developers diagnose errors, identify slow requests, and analyze backend issues. It's essential for any team using Logfire for observability.
Bug Detective is an AI-powered debugging agent that systematically hunts and analyzes bugs across multiple languages and frameworks using static analysis, profiling, and root cause investigation techniques. Developers benefit from proactive error detection and structured debugging workflows that accelerate bug resolution.
Delegates code review, debugging, and alternative implementation comparisons to Google Gemini CLI (`gemini`) via a JSON bridge script (default model: `gemini-3-pro-preview`). Supports headless one-shot and multi-turn sessions via `SESSION_ID`, with conservative defaults for Gemini effective-context constraints (file-scoped, `--no-full-access` by default) while allowing user override.
An MCP server that enables LLMs to inspect, test, and debug other MCP servers, helping developers validate and troubleshoot their MCP implementations. Ideal for MCP developers, AI agents, and anyone building or integrating multiple MCP servers.
Use when the task involves writing or running unit/integration tests, Playwright end-to-end tests, test coverage analysis, or debugging across frontend and backend, or vertical slices with third-party integrations (Stripe/Auth0/etc.).
Code Implementer - Use for writing and debugging code, implementing features, fixing bugs. Understands patterns in runtime (C++), BCL (C#), Roslyn, SDK, WPF, WinForms.
lily is a specialized AI agent for C#/.NET code implementation, optimization, and quality assurance in WPF desktop applications, helping developers automate architecture design, performance tuning, and debugging workflows.
API-Client is a Copilot instruction set that helps developers test and debug APIs directly from VS Code with request storage, colorized output, and CLI commands. It benefits backend developers, API testers, and anyone who frequently works with HTTP endpoints.
Bugsy is a debugging specialist agent that quickly analyzes and fixes code errors across TypeScript/JavaScript, test failures, and async issues with minimal code changes. Developers and QA teams benefit from rapid error resolution and reduced debugging time.
Heuristic scoring (no AI key configured).
A comprehensive system prompt for Claude that transforms it into a deep-thinking code navigator specialized in codebase management, debugging, and architectural improvement through systematic reasoning and meticulous planning.
SG-Bookkeeper_v2 is a system prompt that transforms Claude into a methodical code assistant for deep codebase analysis, debugging, and strategic improvements using structured thinking. It benefits developers working on complex projects who need rigorous, systematic approaches to code quality and architectural decisions.
