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Debugging Strategies

Organization
MadAppGang
debugging-strategies

Use when troubleshooting bugs, analyzing stack traces, using debugging tools (breakpoints, loggers), or applying systematic debugging methodology across any technology stack.

Overview

PublisherMadAppGang
Repositoryclaude-code
Skill namedebugging-strategies
Stars
281
Forks
26
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MadAppGang on GitHub. Read the source before you install it.

Installation

Install the Debugging Strategies AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MadAppGang/claude-code.git /tmp/claude-code
mkdir -p .claude/skills
cp -r /tmp/claude-code/plugins/dev/skills/core/debugging-strategies .claude/skills/debugging-strategies
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Debugging Strategies in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Debugging Strategies on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Debugging Strategies is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Universal Debugging Strategies

Overview

Language-agnostic debugging techniques and strategies applicable across all technology stacks.

Debugging Methodology

The Scientific Method for Debugging

  1. Observe: Gather information about the bug
  2. Hypothesize: Form theories about the cause
  3. Predict: What would confirm/refute each theory?
  4. Test: Run experiments to validate
  5. Conclude: Identify root cause and fix

Systematic Approach

1. Reproduce the bug reliably
2. Isolate the failing code path
3. Trace backwards from the error
4. Identify the root cause
5. Verify the fix
6. Add tests to prevent regression

Error Analysis

Stack Trace Reading

Read stack traces bottom to top:

Error: Cannot read property 'name' of undefined
    at formatUser (src/utils/format.ts:42)      ← Error thrown here
    at processUsers (src/services/user.ts:28)    ← Called from here
    at UserList.render (src/components/UserList.tsx:15)
    at App.render (src/App.tsx:8)                ← Entry point

Focus on YOUR code - skip framework/library internals initially.

Error Categories

CategoryExamplesCommon Causes
Null/UndefinedCannot read property 'x' of undefinedMissing data, async timing
Type Errorsx is not a functionWrong type, typo
Logic ErrorsWrong output, no errorIncorrect conditions
Runtime ErrorsOut of bounds, division by zeroInvalid input
Async ErrorsUnhandled promise rejectionMissing error handler
Network ErrorsTimeout, connection refusedAPI down, wrong URL

Debugging Techniques

Binary Search (Bisection)

When the bug is somewhere in a large codebase:

1. Find a known good state (commit, version)
2. Find current bad state
3. Test the midpoint
4. Narrow to half with bug
5. Repeat until found

Git bisect:

bash
git bisect start
git bisect bad                    # Current commit is broken
git bisect good v1.0.0           # v1.0.0 was working
# Git checks out midpoint, test it
git bisect good/bad              # Mark and continue

Wolf Fence Algorithm

Split the code into sections and determine which section contains the bug:

┌─────────────────────────────────────┐
│           Code Section A            │ ← Test: Bug here?
├─────────────────────────────────────┤
│           Code Section B            │ ← Test: Bug here?
├─────────────────────────────────────┤
│           Code Section C            │ ← Test: Bug here?
└─────────────────────────────────────┘

Add logging/breakpoints at section boundaries, narrow down.

Rubber Duck Debugging

Explain the code line by line (to a rubber duck, colleague, or yourself):

  1. Explain what the code SHOULD do
  2. Explain what it ACTUALLY does
  3. The discrepancy reveals the bug

Change One Thing at a Time

When experimenting:

  • Make ONE change
  • Test
  • Observe result
  • Revert if no improvement
  • Repeat

Data Flow Tracing

Backwards Tracing

Start at the error, trace backwards:

1. Error occurs at line 42: user.name is undefined
2. Where does `user` come from? Line 38: const user = getUser(id)
3. What does getUser return? Check function...
4. getUser queries database, returns undefined if not found
5. Root cause: No null check after getUser

Forward Tracing

Start at input, trace forward:

1. User enters email: "test@example"
2. Form submits to /api/register
3. API validates email... passes (bug: missing TLD check)
4. Saves to database with invalid email
5. Later processes fail on invalid email

Logging Strategies

Strategic Log Placement

typescript
function processOrder(order) {
  console.log('processOrder START', { orderId: order.id });

  try {
    const validated = validateOrder(order);
    console.log('Validation passed', { orderId: order.id });

    const result = saveOrder(validated);
    console.log('processOrder SUCCESS', { orderId: order.id, result });

    return result;
  } catch (error) {
    console.error('processOrder FAILED', {
      orderId: order.id,
      error: error.message,
      stack: error.stack
    });
    throw error;
  }
}

Log Levels

LevelUse ForExample
ERRORFailures requiring attentionFailed to save order: DB connection lost
WARNPotential issuesRetry 2/3 for API call
INFOSignificant eventsUser logged in: user123
DEBUGDetailed diagnosticsValidating email: test@example.com
TRACEVery verboseEntering function processOrder

Structured Logging

typescript
// BAD: Unstructured
console.log('User ' + userId + ' ordered ' + items.length + ' items');

// GOOD: Structured
logger.info('Order placed', {
  userId,
  itemCount: items.length,
  total: order.total,
  timestamp: new Date().toISOString()
});

Breakpoint Strategies

Types of Breakpoints

TypeUse Case
LineStop at specific line
ConditionalStop only when condition is true
LogpointLog without stopping
ExceptionStop on thrown exception
DOMStop on DOM modification (browser)

Effective Breakpoint Placement

  1. Before the error - See state leading to failure
  2. At decision points - Check which branch executes
  3. At data boundaries - API calls, DB queries
  4. In loops - Check iteration values

Common Bug Patterns

Off-by-One Errors

typescript
// BUG: Index out of bounds
for (let i = 0; i <= array.length; i++) {
  console.log(array[i]); // Fails on last iteration
}

// FIX
for (let i = 0; i < array.length; i++) {
  console.log(array[i]);
}

Race Conditions

typescript
// BUG: Race condition
async function getData() {
  fetchData().then(data => { this.data = data; });
  processData(this.data); // May run before fetch completes!
}

// FIX: Await the result
async function getData() {
  this.data = await fetchData();
  processData(this.data);
}

Null Reference

typescript
// BUG: Accessing property of undefined
const name = user.profile.name;

// FIX: Optional chaining or guard
const name = user?.profile?.name;
// or
if (user && user.profile) {
  const name = user.profile.name;
}

State Mutation

typescript
// BUG: Mutating input
function addTax(price) {
  price.total = price.amount * 1.2; // Mutates input!
  return price;
}

// FIX: Return new object
function addTax(price) {
  return {
    ...price,
    total: price.amount * 1.2
  };
}

Closure Pitfalls

javascript
// BUG: All callbacks share same i
for (var i = 0; i < 3; i++) {
  setTimeout(() => console.log(i), 100); // Logs: 3, 3, 3
}

// FIX: Use let (block scope) or capture value
for (let i = 0; i < 3; i++) {
  setTimeout(() => console.log(i), 100); // Logs: 0, 1, 2
}

Environment-Specific Debugging

Browser (JavaScript)

  • DevTools Console
  • Network tab for API calls
  • Elements tab for DOM
  • Sources tab for breakpoints
  • Performance tab for bottlenecks
  • Application tab for storage

Node.js

bash
# Start with inspector
node --inspect app.js

# Break on first line
node --inspect-brk app.js

Backend APIs

  • Request/response logging
  • Database query logging
  • Trace IDs for distributed tracing
  • Health check endpoints

Debugging Checklist

When stuck, verify:

  • Input: Is input data correct?
  • Config: Are environment variables set?
  • Dependencies: Are all services running?
  • Versions: Is the correct version deployed?
  • Cache: Is stale data being used?
  • Permissions: Does the code have required access?
  • Timing: Are async operations completing?
  • State: Is application state as expected?

Prevention

Defensive Coding

typescript
function processUser(user) {
  // Guard clauses
  if (!user) throw new Error('User is required');
  if (!user.email) throw new Error('User email is required');

  // Type assertions (TypeScript)
  const email = user.email as string;

  // Proceed with validated data
  return formatUser(user);
}

Assertions

typescript
// Development-time checks
function divide(a, b) {
  console.assert(b !== 0, 'Division by zero');
  return a / b;
}

Error Boundaries

typescript
try {
  riskyOperation();
} catch (error) {
  // Log with context
  logger.error('Operation failed', {
    error: error.message,
    stack: error.stack,
    context: { userId, operation: 'riskyOperation' }
  });

  // Recover or rethrow
  throw new OperationError('Failed to complete operation', { cause: error });
}

Debugging strategies applicable to all technology stacks

Frequently asked questions

What does the Debugging Strategies AI skill do?

Use when troubleshooting bugs, analyzing stack traces, using debugging tools (breakpoints, loggers), or applying systematic debugging methodology across any technology stack.

Why use Debugging Strategies on TypingMind?

Because you install it once and use it with any model. Debugging Strategies is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Debugging Strategies in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MadAppGang/claude-code/tree/main/plugins/dev/skills/core/debugging-strategies. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Debugging Strategies?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Debugging Strategies?

As many as you like. As long as a model supports skills, you can use Debugging Strategies with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Debugging Strategies AI skill free?

Yes. It is published on GitHub by MadAppGang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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