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Technical Debt Assessment

Checked
aj-geddes·vlatest·backend·MIT

This skill analyzes code to identify potential technical debt issues, helping developers prioritize fixes and improve codebase health.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill technical-debt-assessment -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/technical-debt-assessment/SKILL.md
Scanned
4 files, 462 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The technical-debt-assessment skill enables AI agents to analyze codebases and documentation to identify areas requiring refactoring, outdated dependencies, or architectural inefficiencies. It generates structured reports highlighting specific risks and potential impacts on future development velocity.

When to use it

  • Before starting a major feature sprint to ensure the existing foundation is stable enough for new work.
  • During code reviews to flag legacy patterns that might slow down current team members.
  • When planning a migration strategy to understand the scope of technical debt in a monolithic system.
  • To prioritize maintenance tasks against upcoming release deadlines based on risk analysis.

Key capabilities

  • Scans source code for anti-patterns and complexity indicators.
  • Identifies deprecated libraries and unmaintained dependencies.
  • Evaluates architectural decisions against current best practices.
  • Quantifies the estimated effort required to resolve identified issues.

Example prompts

  • "Analyze this repository's src directory and list the top five technical debt items that pose the highest risk to our upcoming authentication overhaul."
  • "Review the project's dependency tree and generate a report on any packages with critical security vulnerabilities or zero stars on GitHub."
  • "Assess the current database schema for normalization issues and suggest specific refactoring steps to improve query performance."

Tips & gotchas

Ensure the AI agent has read access to all relevant repositories and documentation before running an assessment, as context gaps lead to incomplete findings. While the skill identifies problems effectively, it cannot execute the refactoring itself; human engineers must validate and implement the suggested fixes.