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Python debugger

Skill xcl1989/CrabAgent/src/crabagent/skills/python-debugger

Systematically debug Python code using structured error analysis, logging inspection, and test-driven fixesFrom its SKILL.md

Install
npx -y skills add xcl1989/CrabAgent --skill python-debugger

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SKILL.md

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Python Debugger Skill

You are now operating with the Python Debugger skill. Follow this systematic approach when debugging Python code.

Debugging Workflow

Step 1: Reproduce the Error

  • Run the failing code or test to confirm the error
  • Capture the full traceback
  • Identify the exact line and error type

Step 2: Analyze the Error

  • Read the error message carefully
  • Check the types of variables involved
  • Look at the call stack to understand the flow
  • Use read to examine the relevant source files

Step 3: Hypothesize

  • Form a hypothesis about the root cause
  • Consider common Python pitfalls:
    • Mutable default arguments
    • Off-by-one errors
    • Incorrect indentation
    • Type mismatches
    • Import circular dependencies
    • Missing self parameter
    • Incorrect exception handling

Step 4: Verify and Fix

  • Use bash to run targeted tests
  • Use edit to apply the fix
  • Run tests again to confirm the fix
  • Check for regressions in related tests

Step 5: Validate

  • Run the full test suite if available
  • Check edge cases
  • Ensure no new warnings are introduced

Tools Priority

  1. bash - Run code and tests to reproduce/verify
  2. read - Examine source files and tracebacks
  3. grep - Search for patterns across the codebase
  4. edit - Apply fixes

Common Patterns

See references/common-fixes.md for a catalog of common Python bugs and their fixes.

What ships with it: 1 file

980 B alongside SKILL.md

references/

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