
bug-detective
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/galaxy-dawn/claude-scholar --skill bug-detective- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads bug-detective automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Bug Detective
A systematic debugging workflow for investigating and resolving code errors, exceptions, and failures. Provides structured debugging methods and common error pattern recognition.
Core Philosophy
Debugging is a scientific problem-solving process that requires:
- Understand the problem - Clearly define symptoms and expected behavior
- Gather evidence - Collect error messages, logs, stack traces
- Form hypotheses - Infer possible causes based on evidence
- Verify hypotheses - Confirm or eliminate causes through experiments
- Resolve the issue - Apply fixes and verify
Debugging Workflow
Step 1: Understand the Problem
Before starting to debug, clarify the following information:
Required information to collect:
- Complete error message content
- Exact location of the error (filename and line number)
- Reproduction steps (how to trigger the error)
- Expected behavior vs actual behavior
- Environment info (OS, versions, dependencies)
Question template:
1. What is the exact error message?
2. Which file and line does the error occur at?
3. How can this issue be reproduced? Provide detailed steps.
4. What was the expected result? What actually happened?
5. What recent changes might have introduced this issue?
Step 2: Analyze Error Type
Choose a debugging strategy based on error type:
| Error Type | Characteristics | Debugging Method |
|---|---|---|
| Syntax Error | Code cannot be parsed | Check syntax, bracket matching, quotes |
| Import Error | ModuleNotFoundError | Check module installation, path config |
| Type Error | TypeError | Check data types, type conversions |
| Attribute Error | AttributeError | Check if object attribute exists |
| Key Error | KeyError | Check if dictionary key exists |
| Index Error | IndexError | Check list/array index range |
| Null Reference | NoneType/NullPointerException | Check if variable is None |
| Network Error | ConnectionError/Timeout | Check network connection, URL, timeout settings |
| Permission Error | PermissionError | Check file permissions, user permissions |
| Resource Error | FileNotFoundError | Check if file path exists |
Step 3: Locate the Problem Source
Use the following methods to locate the issue:
1. Binary Search Method
- Comment out half the code, check if the problem persists
- Progressively narrow the scope until the problematic code is found
2. Log Tracing
- Add print/logging statements at key locations
- Track variable value changes
- Confirm code execution path
3. Breakpoint Debugging
- Use debugger breakpoint functionality
- Step through code execution
- Inspect variable state
4. Stack Trace Analysis
- Find the call chain from the stack trace in the error message
- Determine the direct cause of the error
- Trace back to the root cause
Step 4: Form and Verify Hypotheses
Hypothesis framework:
Hypothesis: [problem description] causes [error phenomenon]
Verification steps:
1. [verification method 1]
2. [verification method 2]
Expected results:
- If hypothesis is correct: [expected phenomenon]
- If hypothesis is wrong: [expected phenomenon]
Step 5: Apply Fix
After fixing, verify:
- The original error is resolved
- No new errors have been introduced
- Related functionality still works correctly
- Tests added to prevent regression
Python Common Error Patterns
1. Indentation Errors
2. Mutable Default Arguments
3. Closure Issues in Loops
4. Modifying a List While Iterating
5. Using is for String Comparison
6. Forgetting to Call super().__init__()
JavaScript/TypeScript Common Error Patterns
1. this Binding Issues
2. Async Error Handling
3. Object Reference Comparison
Bash/Zsh Common Error Patterns
1. Spacing Issues
# ❌ No spaces allowed in assignment
name = "John" # Error: tries to run 'name' command
# ✅ Correct assignment
name="John"
# ❌ Missing spaces in conditional test
if[$name -eq 1]; then # Error
# ✅ Correct
if [ $name -eq 1 ]; then
2. Quoting Issues
# ❌ Variables not expanded inside single quotes
echo 'The value is $var' # Output: The value is $var
# ✅ Use double quotes
echo "The value is $var" # Output: The value is actual_value
# ❌ Using backticks for command substitution (confusing)
result=`command`
# ✅ Use $()
result=$(command)
3. Unquoted Variables
# ❌ Unquoted variable, empty value causes errors
rm -rf $dir/* # If dir is empty, deletes all files in current directory
# ✅ Always quote variables
[ -n "$dir" ] && rm -rf "$dir"/*
# Or use set -u to prevent undefined variables
set -u # or set -o nounset
4. Variable Scope in Loops
# ❌ Pipe creates subshell, outer variable unchanged
cat file.txt | while read line; do
count=$((count + 1)) # Outer count won't change
done
echo "Total: $count" # Outputs 0
# ✅ Use process substitution or redirection
while read line; do
count=$((count + 1))
done < file.txt
echo "Total: $count" # Correct output
5. Array Operations
# ❌ Incorrect array access
arr=(1 2 3)
echo $arr[1] # Outputs 1[1]
# ✅ Correct array access
echo ${arr[1]} # Outputs 2
echo ${arr[@]} # Outputs all elements
echo ${#arr[@]} # Outputs array length
6. String Comparison
# ✅ Use `=` inside POSIX `[` tests and `==` inside Bash `[[ ]]` tests
if [ "$name" = "John" ]; then
if [[ "$name" == "John" ]]; then
# ❌ Using -eq for numeric comparison instead of =
if [ $age = 18 ]; then # Wrong
# ✅ Use arithmetic operators for numeric comparison
if [ $age -eq 18 ]; then
if (( age == 18 )); then
7. Command Failure Continues Execution
# ❌ Execution continues after command failure
cd /nonexistent
rm file.txt # Deletes file.txt in current directory
# ✅ Use set -e to exit on error
set -e # or set -o errexit
cd /nonexistent # Script exits here
rm file.txt
# Or check if command succeeded
cd /nonexistent || exit 1
Common Debugging Commands
Python pdb Debugger
python -m pdb script.py
pytest -x -vv tests/test_target.py
Node.js Inspector
node --inspect-brk app.js
node --trace-warnings app.js
Git Bisect
git bisect start
git bisect bad
git bisect good <known-good-commit>
Bash Debugging
# Run script in debug mode
bash -x script.sh # Print each command
bash -v script.sh # Print command source
bash -n script.sh # Syntax check, no execution
# Enable debugging within a script
set -x # Enable command tracing
set -v # Enable verbose mode
set -e # Exit on error
set -u # Error on undefined variables
set -o pipefail # Fail if any command in pipe fails
Preventive Debugging
1. Use Type Checking
2. Input Validation
3. Defensive Programming
4. Logging
Debugging Checklist
Before Starting
- Obtain the complete error message
- Record the stack trace of the error
- Confirm reproduction steps
- Understand expected behavior
During Debugging
- Check recent code changes
- Use binary search to locate the issue
- Add logs to trace variables
- Verify hypotheses
After Resolution
- Confirm the original error is fixed
- Test related functionality
- Add tests to prevent regression
- Document the problem and solution
Additional Resources
Reference Files
For detailed debugging techniques and patterns:
references/python-errors.md- Python error detailsreferences/javascript-errors.md- JavaScript/TypeScript error detailsreferences/shell-errors.md- Bash/Zsh script error detailsreferences/debugging-tools.md- Debugging tools usage guidereferences/common-patterns.md- Common error patterns
Example Files
Working debugging examples:
examples/debugging-workflow.py- Complete debugging workflow exampleexamples/error-handling-patterns.py- Error handling patternsexamples/debugging-workflow.sh- Shell script debugging example
FAQ
What does the bug-detective skill do?
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.
How do I install bug-detective?
Run npx skills add https://github.com/galaxy-dawn/claude-scholar --skill bug-detective in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/bug-detective/ (personal) or .claude/skills/bug-detective/ (project).
Which AI agents can use bug-detective?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is bug-detective safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains bug-detective?
It is published by galaxy-dawn in galaxy-dawn/claude-scholar. It has 405 recorded installs.
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