Agent Skills Hub

debugging

Standardized debugging and diagnostic guidelines for AI coding agents.

debug

Debug package implementation guide for LobeHub. Provides standardized logging patterns, namespace conventions, and configuration for browser, Node.js, and Electron environments.

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

syncause-debugger

Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.

ai-collaboration-standards

Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.

Debug Workflow

Interactive debugging workflow for Ruby test suites using the debug gem, featuring step execution, system state inspection, and root cause analysis.

systematic-debugging

A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.

gh-fix-ci

Debug failing GitHub Actions CI checks by fetching logs, summarizing failures, and planning fixes.

moai-essentials-debug

Advanced multi-language debugging support with stack trace analysis, runtime error triage, and automated diagnostic tools for containerized and distributed systems.

performing-systematic-debugging-for-stubborn-problems

Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.

build-iphone-apps

CLI-only iOS development agent for Swift, SwiftUI, and UIKit. Handles the full lifecycle: build, debug, test, and release without Xcode.

root-cause-tracing

Systematic debugging skill to trace errors backward through call stacks, identify original triggers, and implement layered defenses instead of patching symptoms.