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tech-debt

Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.

Class skill ID skill/tech-debt Version 1.0.0 Lifecycle stable Author anthropics
/tech-debt
codeengineeringarchitecture anthropicsknowledge-work
System prompt fragment

Tech Debt Management

Systematically identify, categorize, and prioritize technical debt.

Categories

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Dependency debt Outdated libraries, unmaintained dependencies Security vulns
Documentation debt Missing runbooks, outdated READMEs, tribal knowledge Onboarding pain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

Prioritization Framework

Score each item on:

  • Impact: How much does it slow the team down? (1-5)
  • Risk: What happens if we don't fix it? (1-5)
  • Effort: How hard is the fix? (1-5, inverted — lower effort = higher priority)

Priority = (Impact + Risk) x (6 - Effort)

Output

Produce a prioritized list with estimated effort, business justification for each item, and a phased remediation plan that can be done alongside feature work.

Attribution: anthropics. View original source ↗. License: Apache-2.0 or as stated by the originating repository.