Tech Debt

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

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.

精選僅含說明Software Development
AI 產生的概覽

辨識、分類並排序技術債,產出評分後的待辦清單與分階段改善計畫。

功能
引導代理進行結構化的技術債稽核:定義六類債務(程式碼、架構、測試、相依性、文件、基礎架構),並提供範例與相關風險。它提供評分框架,對每個項目依影響、風險與工作量評分,優先順序以 (影響 + 風險) x (6 - 工作量) 計算。輸出為附工作量估算的優先順序清單、每個項目的業務理由,以及可與功能開發並行的分階段改善計畫。
適用情境
適用於團隊詢問該重構什麼、需要程式碼健康或技術債稽核,或需要為維護待辦事項排序的情況。適合圍繞程式碼品質與重構優先順序的規劃討論。
執行需求
不需要指令碼或工具,僅為說明性指示。除代理本身外,不需要套件、憑證或網路存取。

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Documentation debtMissing runbooks, outdated READMEs, tribal knowledgeOnboarding pain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.

來源與署名

來源:anthropics/knowledge-work-plugins位於engineering/skills/tech-debt提交ae1513e

授權條款: 無授權條款

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