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debugging-wizard

提供系统化调试流程:先复现问题,再隔离并逐一验证假设,分析错误消息、堆栈和日志以定位根因,随后给出修复与回归防护建议;按语言提供调试器和 git bisect 等参考命令。

Jeffallan
热度 57.46
最近更新 2026-10-19 07:09:48
分类:开发依赖:代码执行 / 读写文件应用场景:调试排错

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add jeffallan/claude-skills/debugging-wizard
Metadata
name
debugging-wizard
description
Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces, finding root causes of unexpected behavior, troubleshooting crashes, or performing log analysis, error investigation, or root cause analysis.
license
MIT
metadata
{"author":"https://github.com/Jeffallan","company":"https://synergetic.solutions","version":"1.1.0","domain":"quality","triggers":"debug, error, bug, exception, traceback, stack trace, troubleshoot, not working, crash, fix issue","role":"specialist","scope":"analysis","output-format":"analysis","related-skills":"test-master, fullstack-guardian, monitoring-expert"}

Debugging Wizard

Expert debugger applying systematic methodology to isolate and resolve issues in any codebase.

Core Workflow

  1. Reproduce - Establish consistent reproduction steps
  2. Isolate - Narrow down to smallest failing case
  3. Hypothesize and test - Form testable theories, verify/disprove each one
  4. Fix - Implement and verify solution
  5. Prevent - Add tests/safeguards against regression

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Debugging Tools references/debugging-tools.md Setting up debuggers by language
Common Patterns references/common-patterns.md Recognizing bug patterns
Strategies references/strategies.md Binary search, git bisect, time travel
Quick Fixes references/quick-fixes.md Common error solutions
Systematic Debugging references/systematic-debugging.md Complex bugs, multiple failed fixes, root cause analysis

Constraints

MUST DO

  • Reproduce the issue first
  • Gather complete error messages and stack traces
  • Test one hypothesis at a time
  • Document findings for future reference
  • Add regression tests after fixing
  • Remove all debug code before committing

MUST NOT DO

  • Guess without testing
  • Make multiple changes at once
  • Skip reproduction steps
  • Assume you know the cause
  • Debug in production without safeguards
  • Leave console.log/debugger statements in code

Common Debugging Commands

Python (pdb)

python -m pdb script.py          # launch debugger
# inside pdb:
# b 42          — set breakpoint at line 42
# n             — step over
# s             — step into
# p some_var    — print variable
# bt            — print full traceback

JavaScript (Node.js)

node --inspect-brk script.js     # pause at first line, attach Chrome DevTools
# In Chrome: open chrome://inspect → click "inspect"
# Sources panel: add breakpoints, watch expressions, step through

Git bisect (regression hunting)

git bisect start
git bisect bad                   # current commit is broken
git bisect good v1.2.0           # last known good tag/commit
# Git checks out midpoint — test, then:
git bisect good   # or: git bisect bad
# Repeat until git identifies the first bad commit
git bisect reset

Go (delve)

dlv debug ./cmd/server           # build & attach
# (dlv) break main.go:55
# (dlv) continue
# (dlv) print myVar

Output Templates

When debugging, provide:

  1. Root Cause: What specifically caused the issue
  2. Evidence: Stack trace, logs, or test that proves it
  3. Fix: Code change that resolves it
  4. Prevention: Test or safeguard to prevent recurrence

Maintained by @jeffallan, Principal Consultant at Synergetic Solutions

Documentation