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Identify, categorize, and prioritize technical debt for smarter refactoring decisions.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "tech-debt" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/engineering/skills/tech-debt/SKILL.md 2. Save it as ~/.claude/skills/tech-debt/SKILL.md 3. Reload skills and tell me it's ready
Run a technical debt audit on this repository. Categorize issues by code complexity, duplicated logic, test coverage, dependency risk, and maintainability. List high, medium, and low priority items and recommend a remediation order.
A categorized technical debt list with priorities, refactoring order, and remediation recommendations.
Based on the following module descriptions and recent incident history, identify the top 3 parts worth refactoring next. Explain the risk, impact scope, expected benefit, and recommended approach for each.
A prioritized refactoring shortlist focused on high-value areas with decision rationale.
Re-rank this maintenance backlog by urgency, business impact, fix cost, and long-term maintenance value. Mark which items are technical debt, bug fixes, or infrastructure improvements.
A re-ranked maintenance backlog that clearly separates debt types and handling priorities.
Systematically identify, categorize, and prioritize technical debt.
| Type | Examples | Risk |
|---|---|---|
| Code debt | Duplicated logic, poor abstractions, magic numbers | Bugs, slow development |
| Architecture debt | Monolith that should be split, wrong data store | Scaling limits |
| Test debt | Low coverage, flaky tests, missing integration tests | Regressions ship |
| Dependency debt | Outdated libraries, unmaintained dependencies | Security vulns |
| Documentation debt | Missing runbooks, outdated READMEs, tribal knowledge | Onboarding pain |
| Infrastructure debt | Manual deploys, no monitoring, no IaC | Incidents, slow recovery |
Score each item on:
Priority = (Impact + Risk) x (6 - Effort)
Produce a prioritized list with estimated effort, business justification for each item, and a phased remediation plan that can be done alongside feature work.
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Analyze codebase health to find dead code, dependency cycles, and architecture drift.
Compare debt payoff strategies and estimate timeline and total interest.