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tech-debt-analyzer

@Uniswap/ai-toolkit
9
0

Analyze and prioritize technical debt with remediation plans. Use when user says "analyze the technical debt in this codebase", "what's the code quality like in this module", "identify what's slowing down our development", "assess the maintenance burden of this legacy code", "create a plan to pay down our tech debt", or "where should we focus our cleanup efforts".

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SKILL.md

name tech-debt-analyzer
description Analyze and prioritize technical debt with remediation plans. Use when user says "analyze the technical debt in this codebase", "what's the code quality like in this module", "identify what's slowing down our development", "assess the maintenance burden of this legacy code", "create a plan to pay down our tech debt", or "where should we focus our cleanup efforts".
allowed-tools Read, Glob, Grep, Bash(git log:*), Bash(git diff:*), Task, WebSearch
model opus

Technical Debt Analyzer

Identify, quantify, and prioritize technical debt with ROI-based remediation plans.

When to Activate

  • User mentions technical debt
  • Code quality assessment needed
  • Understanding what's slowing development
  • Legacy code evaluation
  • Maintenance burden analysis

Debt Categories

Code Debt

  • Duplicated Code: Copy-paste, repeated logic
  • Complex Code: High cyclomatic complexity, deep nesting
  • Poor Structure: Circular dependencies, coupling issues

Architecture Debt

  • Design Flaws: Missing abstractions, violations
  • Technology Debt: Outdated frameworks, deprecated APIs

Testing Debt

  • Coverage Gaps: Untested paths, missing edge cases
  • Test Quality: Brittle, slow, or flaky tests

Documentation Debt

  • Missing API docs, undocumented complex logic

Infrastructure Debt

  • Manual deployments, missing monitoring

Impact Assessment

Calculates real cost:

  • Development velocity impact (hours/month)
  • Quality impact (bug rate, fix time)
  • Risk assessment (critical/high/medium/low)

Output Format

Debt Metrics Dashboard

cyclomatic_complexity:
  current: 15.2
  target: 10.0
code_duplication:
  percentage: 23%
  target: 5%
test_coverage:
  unit: 45%
  target: 80%

Prioritized Roadmap

  • Quick Wins: High value, low effort (Week 1-2)
  • Medium-Term: Features, refactors (Month 1-3)
  • Long-Term: Architecture changes (Quarter 2-4)

ROI Calculations

Each item includes:

  • Effort estimate
  • Monthly savings
  • ROI percentage
  • Payback period

Prevention Strategy

Includes quality gates:

  • Pre-commit hooks
  • CI pipeline checks
  • Code review requirements
  • Debt budget tracking