40 boosters for "debugg" — AI-graded, open source, ready to install
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.
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.
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.
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.
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.
LLM agent code has unique failure modes that standard clean code practices don't fully address: **non-deterministic outputs**, **opaque tool calls**, **prompt-logic coupling**, and **hidden state in memory**. This note captures patterns specific to building maintainable, debuggable agent systems.
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.
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.).
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.
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.
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.
