Tech Debt

作者 anthropicsae1513ea94dc无许可证27K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

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.

精选仅含说明Software Development
AI 生成的概览

识别、分类并排序技术债务,产出评分后的待办清单与分阶段整改计划。

功能
引导智能体执行结构化的技术债务审计:定义六类债务(代码、架构、测试、依赖、文档、基础设施),并给出示例与相关风险。它提供评分框架,对每一项按影响、风险和工作量打分,优先级按 (影响 + 风险) x (6 - 工作量) 计算。输出为带工作量估算的优先级清单、每项的业务理由,以及可与功能开发并行的分阶段整改计划。
适用场景
适用于团队询问该重构什么、需要代码健康或技术债务审计,或需要为维护待办排序的场景。适合围绕代码质量与重构优先级的规划讨论。
运行要求
无需脚本或工具,仅为说明性指令。除智能体本身外,不需要软件包、凭据或网络访问。

Tech Debt Management

Systematically identify, categorize, and prioritize technical debt.

Categories

TypeExamplesRisk
Code debtDuplicated logic, poor abstractions, magic numbersBugs, slow development
Architecture debtMonolith that should be split, wrong data storeScaling limits
Test debtLow coverage, flaky tests, missing integration testsRegressions ship
Dependency debtOutdated libraries, unmaintained dependenciesSecurity vulns
Documentation debtMissing runbooks, outdated READMEs, tribal knowledgeOnboarding pain
Infrastructure debtManual deploys, no monitoring, no IaCIncidents, 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.

来源与署名

来源:anthropics/knowledge-work-plugins位于engineering/skills/tech-debt提交ae1513e

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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