Agent skill

Tech Debt Tracker

by alirezarezvani in alirezarezvani/claude-skills

Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans.

MITAuto-check passedDevelopment

Install Tech Debt Tracker

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill tech-debt-tracker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills tech-debt-tracker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/skills/tech-debt-tracker .claude/skills/tech-debt-tracker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tech-debt-tracker
GitHub stars
28k
Used in
1 other repo
Token cost
~1.2k tokens
SKILL.md length
486 words
Files
19 (incl. scripts, references, assets)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans.

  • Works in 8 steps: Scan the codebase → Prioritize the backlog → Track trends over time → …
  • Users mention tech debt
  • SKILL.md covers Overview, What This Skill Provides, Quick Start — scan →… and Technical Debt Classification…, plus 1 more section
  • Runs Python and JavaScript scripts from its folder; calls python3

What it does

Tech Debt Tracker is an agent skill from alirezarezvani/claude-skills. Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts, reference files and assets (for example `README.md`, `assets/historical_debt_2024-01-15.json` and `assets/historical_debt_2024-02-01.json`).

It sits in Development, covering Technical debt, Code quality and Legacy modernization. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Users mention tech debt
  • Refactoring priority
  • Cleanup sprints
  • Code health assessment

Example prompts

  • “/tech-debt-tracker”

Requirements

  • Python 3
  • Node.js

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Scan the codebase
  2. Prioritize the backlog
  3. Track trends over time
  4. Analysis Paralysis
  5. Perfectionism
  6. Ignoring Business Context
  7. Inconsistent Application
  8. Tool Over-Engineering

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python and JavaScript, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tech Debt Tracker loads about 1.2k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 486 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 486 words, ~1,183 tokens.

Download SKILL.mdSave it as .claude/skills/tech-debt-tracker/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.
name
tech-debt-tracker
description
Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation.

Tech Debt Tracker

Tier: POWERFUL 🔥
Category: Engineering Process Automation
Expertise: Code Quality, Technical Debt Management, Software Engineering

Overview

Tech debt is one of the most insidious challenges in software development - it compounds over time, slowing down development velocity, increasing maintenance costs, and reducing code quality. This skill provides a comprehensive framework for identifying, analyzing, prioritizing, and tracking technical debt across codebases.

Tech debt isn't just about messy code - it encompasses architectural shortcuts, missing tests, outdated dependencies, documentation gaps, and infrastructure compromises. Like financial debt, it accrues "interest" through increased development time, higher bug rates, and reduced team velocity.

What This Skill Provides

This skill offers three interconnected tools that form a complete tech debt management system:

  1. Debt Scanner - Automatically identifies tech debt signals in your codebase
  2. Debt Prioritizer - Analyzes and prioritizes debt items using cost-of-delay frameworks
  3. Debt Dashboard - Tracks debt trends over time and provides executive reporting

Together, these tools enable engineering teams to make data-driven decisions about tech debt, balancing new feature development with maintenance work.

Quick Start — scan → prioritize → dashboard

All paths relative to this skill folder. The scanner's JSON output feeds the prioritizer directly; dated inventory snapshots feed the dashboard.

1. Scan the codebase
bash
python3 scripts/debt_scanner.py /path/to/codebase --format json --output debt_inventory.json

Emits debt_inventory.json with scan_metadata, summary, debt_items[], file_statistics, and recommendations. Report the summary counts to the user. (Dry run: assets/sample_codebase.)

2. Prioritize the backlog
bash
python3 scripts/debt_prioritizer.py debt_inventory.json --framework wsjf --team-size 6 --sprint-capacity 20 --format json --output debt_priorities.json

Frameworks: cost_of_delay (default), wsjf, rice. Output contains prioritized_backlog (work top-down), sprint_allocation (paste into sprint planning), and insights.

Keep dated snapshots (debt_YYYY-MM-DD.json), then:

bash
python3 scripts/debt_dashboard.py --input-dir snapshots/ --period monthly --format both --output debt_dashboard

Or pass files explicitly (samples: assets/historical_debt_2024-01-15.json assets/historical_debt_2024-02-01.json). The dashboard reports trend direction and executive-ready summaries — use it to verify a cleanup sprint actually reduced debt.

Show full SKILL.md (211 more words)Show less
Verification loop

After a remediation sprint: re-run step 1, re-run step 3 with the new snapshot, and assert the targeted categories' counts dropped. A cleanup that doesn't move the dashboard is rework, not debt paydown.

Technical Debt Classification Framework

→ See references/debt-frameworks.md for details (also: references/debt-classification-taxonomy.md, references/prioritization-framework.md, references/stakeholder-communication-templates.md)

Common Pitfalls and How to Avoid Them

1. Analysis Paralysis

Problem: Spending too much time analyzing debt instead of fixing it. Solution: Set time limits for analysis, use "good enough" scoring for most items.

2. Perfectionism

Problem: Trying to eliminate all debt instead of managing it. Solution: Focus on high-impact debt, accept that some debt is acceptable.

3. Ignoring Business Context

Problem: Prioritizing technical elegance over business value. Solution: Always tie debt work to business outcomes and customer impact.

4. Inconsistent Application

Problem: Some teams adopt practices while others ignore them. Solution: Make debt tracking part of standard development workflow.

5. Tool Over-Engineering

Problem: Building complex debt management systems that nobody uses. Solution: Start simple, iterate based on actual usage patterns.

Technical debt management is not just about writing better code - it's about creating sustainable development practices that balance short-term delivery pressure with long-term system health. Use these tools and frameworks to make informed decisions about when and how to invest in debt reduction.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 18 other files (scripts, references, assets) in engineering/skills/tech-debt-tracker of alirezarezvani/claude-skills.

  • SKILL.md
  • README.md
  • assets/historical_debt_2024-01-15.json
  • assets/historical_debt_2024-02-01.json
  • assets/sample_codebase/src/frontend.js
  • assets/sample_codebase/src/payment_processor.py
  • assets/sample_codebase/src/user_service.py
  • assets/sample_debt_inventory.json
  • expected_outputs/sample_dashboard_output.json
  • expected_outputs/sample_prioritization_output.json
  • expected_outputs/sample_scan_output.json
  • references/debt-classification-taxonomy.md
  • references/debt-frameworks.md
  • references/prioritization-framework.md
  • references/stakeholder-communication-templates.md
  • scripts
  • … and 3 more

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Tech Debt Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tech Debt Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tech Debt Tracker this skillalirezarezvani/claude-skills28k1 repos~1.2kAutomated safety check: PassMIT
Code Refactoring Workflowluongnv89/claude-howto42k—~3.1kAutomated safety check: PassMIT
Fowler-Style Refactoringlhfer/claude-howto-zh-cn2.3k—~156Automated safety check: PassMIT
Refactoring Skill (Vietnamese)luongnv89/claude-howto42k—~3.1kAutomated safety check: PassMIT
Cleanup Codejeremylongshore/tons-of-skills-marketplace2.8k—~1.7kAutomated safety check: PassMIT
Architecture Optimizationwondelai/skills2.4k—~7.4kAutomated safety check: PassMIT

Similar skills

  • Code Refactoring Workflow

    luongnv89/claude-howto

    Guides systematic, test-backed refactoring in the style of Martin Fowler, moving through research, planning and small incremental changes with your approval at each phase.

    42k GitHub stars~3.1k tokensUpdated 8 days ago
    DevelopmentAuto-check passed
  • Fowler-Style Refactoring

    lhfer/claude-howto-zh-cn

    基于 Martin Fowler 方法论做系统化重构。Use when users ask to refactor code, improve structure, reduce technical debt, clean up legacy code, or improve maintainability.

    2.3k GitHub stars~156 tokensUpdated 2 mo ago
    DevelopmentAuto-check passed
  • Refactoring Skill (Vietnamese)

    luongnv89/claude-howto

    Vietnamese edition of a systematic refactoring skill based on Martin Fowler's book, working in approved phases with small, test-backed changes.

    42k GitHub stars~3.1k tokensUpdated 8 days ago
    DevelopmentAuto-check passed
  • Cleanup Code

    jeremylongshore/tons-of-skills-marketplace

    Comprehensive codebase cleanup across 11 quality dimensions: dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and…

    2.8k GitHub stars~1.7k tokensUpdated today
    DevelopmentAuto-check passed
  • Guided journey from a working codebase grown slow and tangled to one measurably fast, cleanly bounded, and readable.

    2.4k GitHub stars~7.4k tokensUpdated 27 days ago
    DevelopmentAuto-check passed
  • Improve Code Quality

    wondelai/skills

    Guided journey from a working-but-untested vibe-coded prototype to a production-ready product with tests, clean structure, a business-rules boundary, and resilience at scale.

    2.4k GitHub stars~6.2k tokensUpdated 27 days ago
    DevelopmentAuto-check passed

More from alirezarezvani/claude-skills

All 342 skills in this repo
  • Agile Product Owner

    alirezarezvani/claude-skills

    Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.

    28k GitHub starsUsed in 3 repos~3.2k tokens
    Auto-check passed
  • Product Strategist

    alirezarezvani/claude-skills

    OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.

    28k GitHub starsUsed in 2 repos~1.8k tokens
    Auto-check passed
  • App Store Optimization

    alirezarezvani/claude-skills

    App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.

    28k GitHub starsUsed in 1 repo~4.2k tokens
    Auto-check passed
  • AWS Solution Architect

    alirezarezvani/claude-skills

    Design AWS architectures for startups using serverless patterns and IaC templates.

    28k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Campaign Analytics

    alirezarezvani/claude-skills

    Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.

    28k GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed
  • Code to PRD

    alirezarezvani/claude-skills

    Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.

    28k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed

Categories

Questions about Tech Debt Tracker

What does Tech Debt Tracker do?

Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Tech Debt Tracker is an agent skill from alirezarezvani/claude-skills. Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans.

When should I use Tech Debt Tracker?

Tech Debt Tracker fits situations like: users mention tech debt; refactoring priority; cleanup sprints; code health assessment.

How do I install Tech Debt Tracker in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill tech-debt-tracker -a claude-code`. Or copy the skill folder (engineering/skills/tech-debt-tracker in alirezarezvani/claude-skills) into .claude/skills/tech-debt-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Tech Debt Tracker in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill tech-debt-tracker -a codex`. Or copy the skill folder (engineering/skills/tech-debt-tracker in alirezarezvani/claude-skills) into .agents/skills/tech-debt-tracker in your project. Codex loads it when a task matches its description.

Can I use Tech Debt Tracker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill tech-debt-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tech-debt-tracker, .gemini/skills/tech-debt-tracker, .github/skills/tech-debt-tracker and .opencode/skills/tech-debt-tracker in your project.

What does Tech Debt Tracker need to run?

Going by SKILL.md and its folder, Tech Debt Tracker needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Node.js.

Does Tech Debt Tracker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tech Debt Tracker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tech Debt Tracker use?

Tech Debt Tracker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tech Debt Tracker use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to Tech Debt Tracker?

Skills that share tags, products or a category with Tech Debt Tracker: Code Refactoring Workflow (luongnv89/claude-howto, 42k stars), Fowler-Style Refactoring (lhfer/claude-howto-zh-cn, 2.3k stars), Refactoring Skill (Vietnamese) (luongnv89/claude-howto, 42k stars) and Cleanup Code (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tech Debt Tracker?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.