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Technical Debt Patterns

Checked
kaakati·vlatest·backend

Identifies common technical debt patterns in codebases, suggesting remediation strategies and potential impact assessments.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it Technical Debt Patterns, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add kaakati/rails-enterprise-dev --skill "Technical Debt Patterns" -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

kaakati

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 kaakati/rails-enterprise-dev at bd0b7c1cc3.

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

Commit
bd0b7c1cc3
Manifest
plugins/reactree-rails-dev/skills/technical-debt-patterns/SKILL.md
Scanned
8 files, 3,163 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

What it does

This skill helps identify and categorize technical debt within a codebase. It allows users to recognize common patterns of accumulated compromises, shortcuts, or less-than-ideal solutions that hinder maintainability and future development. The tool can then be used to prioritize remediation efforts based on the identified debt's impact.

When to use it

  • Code Review: During code reviews, to proactively identify potential technical debt being introduced.
  • Refactoring Planning: When planning a refactoring effort, to understand the scope of existing technical debt.
  • Technical Audits: As part of a broader technical audit to assess the overall health and maintainability of a system.
  • Onboarding New Developers: To quickly familiarize new team members with areas of known technical challenges within a project.

Key capabilities

  • Identifies common technical debt patterns.
  • Categorizes identified debt.
  • Provides insights into potential impact of the debt.

Example prompts

  • "Analyze this code snippet for technical debt and suggest remediation strategies."
  • "List all instances of 'magic strings' in this project, which are likely sources of technical debt."
  • "What are the most critical areas of technical debt in this repository?"

Tips & gotchas

The effectiveness of this skill depends on providing clear and well-structured code as input. It is best used with a focused scope rather than attempting to analyze an entire large codebase at once.