tech-debt

Solid

Use when technical debt needs linked code or operational evidence, deduplication, first-seen provenance, or impact, effort, confidence, and cost-of-delay prioritization.

AI & Automation 476 stars 127 forks Updated yesterday NOASSERTION

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Quality Score: 83/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- Generated from `.claude/skills/_available/engineering/tech-debt/SKILL.md` by `scripts/generate-agents-skills.py`. Do not edit. --> # Technical debt review ## When to use Use this skill when a component, project, or portfolio needs a defensible technical- debt inventory, duplicate cleanup, cost-of-delay comparison, or security-risk review. Do not use it to modify code, close tickets, set a sprint commitment, or certify a security issue as safe. Not for calling ordinary feature requests or unsupported complaints technical debt without linked evidence. ## Inputs and source discipline Set the review scope and as-of date/time. Search code, configuration, tests, build logs, incident reviews, operational measurements, issue discussions, and dated notes. For every candidate capture a source, source date, as-of date/time, stable locator (path/line, commit, ticket, or record), and any freshness or access limitation. Linked code and operational evidence should identify the underlying problem, not just repeat a label such as "refactor later". Keep first-seen provenance separate from current discovery. A dated source can support `first-seen`; an undated mention cannot establish age. Record `first-seen: unknown` when no dated evidence exists rather than guessing an age or inventing an aging bucket. ## Method 1. Gather candidates read-only and normalize each into one underlying debt item: affected component, debt mechanism, observable consequence, evidence links, and cur...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
7 months ago
Last Updated
yesterday
Language
Python
License
NOASSERTION

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