Tech Debt Analyzer

🌐Community
by auldsyababua · vlatest · Repository

This Tech Debt Analyzer identifies and prioritizes code issues, boosting development efficiency by surfacing potential technical risks.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add auldsyababua-tech-debt-analyzer npx -- -y @trustedskills/auldsyababua-tech-debt-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "auldsyababua-tech-debt-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/auldsyababua-tech-debt-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Tech Debt Analyzer skill identifies and categorizes technical debt within a codebase. It provides insights into the scope and potential impact of this debt, allowing for prioritization of remediation efforts. The skill analyzes code to identify areas needing refactoring or improvement based on established patterns.

When to use it

  • Codebase Assessment: Quickly understand the level of technical debt in a new project you're joining.
  • Refactoring Planning: Prioritize refactoring tasks by identifying high-impact areas of technical debt.
  • Team Onboarding: Help new team members quickly grasp the architectural challenges and potential improvements needed.
  • Technical Audits: Generate reports for stakeholders outlining the state of the codebase's health.

Key capabilities

  • Identifies code smells indicative of technical debt.
  • Categorizes identified debt by severity (e.g., critical, major, minor).
  • Provides actionable recommendations for remediation.
  • Generates reports summarizing findings.

Example prompts

  • "Analyze this codebase and identify areas with significant technical debt."
  • "Generate a report detailing the most pressing technical debt issues in this project."
  • "What are the potential risks associated with the identified technical debt?"

Tips & gotchas

The accuracy of analysis depends on the quality and clarity of the codebase. Complex or heavily obfuscated code may yield less reliable results.

Tags

🛡️

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Details

Version
vlatest
License
Author
auldsyababua
Installs
3

🌐 Community

Passed automated security scans.