tech-debt-analyzer

name	tech-debt-analyzer
description	This skill should be used when analyzing technical debt in a codebase, documenting code quality issues, creating technical debt registers, or assessing code maintainability. Use this for identifying code smells, architectural issues, dependency problems, missing documentation, security vulnerabilities, and creating comprehensive technical debt documentation.

Technical Debt Analyzer

Systematically identify, analyze, and document technical debt.

When to Use

Use for:

• Analyzing code quality issues
• Creating technical debt registers
• Assessing code maintainability
• Identifying dependency problems
• Documenting security vulnerabilities
• Planning refactoring efforts

Don't use when:

• Writing new code → use generic-feature-developer
• Code review → use generic-code-reviewer
• Writing tests → use test-specialist

Quick Analysis Commands

# Find large files (>500 lines)
find src -name "*.ts" -exec wc -l {} + | awk '$1 > 500' | sort -rn

# Find TODO/FIXME markers
grep -rn "TODO\|FIXME\|HACK\|XXX" src/

# Check for console.log in production code
grep -rn "console.log" src/ --include="*.ts" --include="*.tsx"

# Find TypeScript 'any' usage
grep -rn ": any" src/ --include="*.ts" --include="*.tsx"

# Check outdated dependencies
npm outdated

# Security vulnerabilities
npm audit

# Unused exports (requires ts-unused-exports)
npx ts-unused-exports tsconfig.json

Debt Categories

Category	Examples
Code Quality	Large files, complex functions, TODO/FIXME markers
Architectural	Tight coupling, missing abstractions, circular deps
Test	Missing coverage, fragile tests, slow execution
Documentation	Missing README, outdated docs, no ADRs
Dependency	Outdated packages, security vulnerabilities
Performance	N+1 queries, memory leaks, large bundles
Security	Missing validation, exposed secrets, XSS/SQL injection

Analysis Workflow

1. Automated Detection

Code Smells to Check:

• Large files (>500 lines)
• Complex functions (cyclomatic complexity >10)
• Debt markers (TODO, FIXME, HACK, XXX)
• Console statements in production code
• any types in TypeScript
• Long parameter lists (>5 params)
• Deep nesting (>4 levels)

Dependency Issues:

• Deprecated packages
• Duplicate functionality
• Loose version constraints
• Known vulnerabilities

2. Severity Assessment

Severity	Criteria	Action
Critical	Security vulns, data loss risk	Immediate fix
High	Performance problems, blocking issues	Current sprint
Medium	Code quality, missing docs	This quarter
Low	Minor smells, optimizations	When convenient

3. Priority Matrix

Impact / Effort	Low	Medium	High
High Impact	Do First	Do Second	Plan & Do
Medium Impact	Do Second	Plan & Do	Consider
Low Impact	Quick Win	Consider	Avoid

Debt Register Format

## DEBT-001: Description

**Category:** Code Quality | **Severity:** High
**Location:** src/services/UserService.ts

**Description:** Brief description of the issue

**Impact:**

- Business: How it affects delivery
- Technical: Why it's problematic
- Risk: What could go wrong

**Proposed Solution:** What to do about it
**Effort:** Days/hours estimate
**Target:** Sprint/quarter

Prevention Strategies

Automated Guards

{
  "rules": {
    "complexity": ["error", 10],
    "max-lines-per-function": ["error", 50],
    "max-params": ["error", 5],
    "max-depth": ["error", 4]
  }
}

Maintenance Schedule

Frequency	Tasks
Weekly	Review TODO/FIXME, update register
Monthly	Dependency updates, debt review
Quarterly	Full analysis, architecture review

Self-Critique Checklist

After completing debt analysis:

• All automated checks run
• Manual review of critical paths done
• Severity assessments justified
• Proposed solutions are actionable
• Priority matrix applied consistently
• Register entries are complete

See Also

• Code Review Standards - Quality checks
• Project CLAUDE.md - Workflow rules