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Grok Bot+18 agentsAI Code Debugging & Error Resolution Master
Debug stack traces, runtime errors, and buggy code to generate minimal, evidence-based fixes, explanations, and verification steps.
$7
AI Code Debugging & Error Resolution Master
Example session with this skill installed
I’m getting this error in my Python code. Please analyze the error message and the relevant code, identify the most likely root cause, provide the minimal fix, explain why it works, and give me steps to verify that the problem is resolved.
Code
numbers = [10, 20, 30, 40]
total = 0
for number in numbers:
total += numbers
print(total)
Error
TypeError: unsupported operand type(s) for +=: 'int' and 'list'
Please do not rewrite unrelated parts of the code or assume missing technical information.
- Read your context and instructions
- Compiled the ai code debugging
Code Debugging & Error Resolution
- Problem
The program fails when adding each item from the "numbers" list to the "total" variable.
The expected behavior is to calculate the sum of all numbers in the list.
- Evidence
The relevant section of the code is
for number in numbers:
total += numbers
The reported error is
TypeError: unsupported operand type(s) for +=: 'int' and 'list'
The variable "total" is an integer, while "numbers" is the complete list.
- Root Cause
The loop variable "number" represents the current numeric item being processed.
However, the code uses "numbers", which refers to the entire list.
This causes Python to attempt to add a list to an integer, producing the reported "TypeError".
- Recommended Fix
Change
total += numbers
to:
total += number
The corrected code is
numbers = [10, 20, 30, 40]
total = 0
for number in numbers:
total += number
print(total)
- Why This Fix Works
The loop processes each number individually.
The values "10", "20", "30", and "40" are added to "total" one at a time.
The calculation therefore becomes
10 + 20 + 30 + 40 = 100
The corrected program should produce
100
- Potential Side Effects
No significant side effects are expected from this focused correction.
The change only replaces the incorrect reference to the entire list with the loop variable representing the current numeric value.
No unrelated parts of the program need to be changed.
- Verification
Run the corrected program and confirm that:
- The program runs without the reported "TypeError".
- The output is:
100
-
Each value in the list is included in the calculation.
-
No unrelated behavior has been changed.
-
Final Checklist
- Identify the incorrect variable reference.
- Replace the list reference with the loop variable.
- Run the corrected code.
- Confirm the expected output is "100".
- Confirm the original "TypeError" is resolved.
- Verify that no unrelated code was modified.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
AI Code Debugging & Error Resolution Master
Turn confusing coding errors into clear, evidence-based solutions.
AI Code Debugging & Error Resolution Master analyzes source code, error messages, stack traces, bug reports, and unexpected application behavior to identify the most likely root cause and produce a focused, practical fix.
What It Does
- Analyzes stack traces and runtime errors
- Reviews relevant source code
- Identifies the most likely root cause
- Separates confirmed evidence from assumptions
- Provides minimal, focused code fixes
- Explains what caused the problem and why the fix works
- Checks for relevant side effects and compatibility concerns
- Provides practical verification and testing steps
- Identifies missing technical information instead of guessing
- Handles ambiguous or conflicting debugging evidence carefully
Supported Debugging Scenarios
The skill can help analyze:
- Syntax and logic errors
- Runtime errors
- Build and compilation errors
- Dependency and package issues
- API and integration errors
- Configuration problems
- Unexpected application behavior
- Bug reports and debugging logs
Accuracy First
The skill does not invent missing code, dependencies, versions, configurations, error details, or test results.
When the available evidence is insufficient, it clearly identifies what additional information is required.
Security-Conscious Debugging
The skill avoids exposing sensitive credentials such as passwords, API keys, and access tokens. It does not recommend disabling security controls simply to hide or bypass an error.
Output
Each debugging analysis can provide:
Problem → Evidence → Root Cause → Recommended Fix → Why It Works → Potential Side Effects → Verification → Final Checklist
The goal is not simply to explain an error. It is to help turn debugging evidence into a clear, minimal, accurate, and verifiable technical solution.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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