tech-debt

Solid

Review and prioritize technical debt

AI & Automation 448 stars 121 forks Updated today NOASSERTION

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Quality Score: 81/100

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88
Recency 20%
100
Frontmatter 20%
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Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Purpose Inventory technical debt, assess impact/effort, and prioritize what to address. ## Usage - `/tech-debt` - Full tech debt review - `/tech-debt [component]` - Focus on specific system/component --- ## Steps 1. **Search for tech debt mentions:** - 04-Projects/ - Meeting notes with keywords: "tech debt", "refactor", "technical debt", "needs cleanup" - Code review discussions 2. **Extract for each item:** - Description - Component/system affected - Impact (velocity, stability, security) - Estimated effort - Age (when first noted) 3. **Categorize by impact:** - Critical: Blocking work or security risk - High: Slowing velocity significantly - Medium: Creating friction - Low: Nice to have 4. **Generate prioritization matrix:** - High impact + low effort = Do now - High impact + high effort = Plan for - Low impact + low effort = Quick wins - Low impact + high effort = Defer --- ## Output Format ```markdown # ๐Ÿ”ง Technical Debt Inventory **Items identified:** [Count] **Critical items:** [Count] ## Do Now (High Impact + Low Effort) - [Item] - Impact: [Why] - Effort: [Estimate] ## Plan For (High Impact + High Effort) - [Item] - Impact: [Why] - Effort: [Estimate] ## Aging Debt (>6 months) - [Item] - First noted: [Date] ## Recommendations 1. [Top priority] 2. [Second priority] ```

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
6 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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