brooks-harness
Maintenance orchestrator for the brooks-lint plugin itself. Runs a sequential subagent pipeline — author → eval → QA → trigger-audit → release — to add or edit…
Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks
$ npx -y skills add hyhmrright/brooks-lint --skill brooks-debt --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/brooks-debtContext preview
The summary Claude sees to decide when to auto-load this skill.
Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks
name: brooks-debt description: > Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT trigger for: server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime — "health" in those contexts is infrastructure, not code quality. Also not for single-function refactoring questions.
Read in order:
1. `../_shared/common.md` — Iron Law, Project Config, Report Template, Health Score 2. `../_shared/source-coverage.md` — book coverage, exceptions, tradeoffs 3. `../_shared/decay-risks.md` — symptom definitions and source attributions 4. `debt-guide.md` (this directory) — the debt classification framework
**Scope:** if the user did not describe the codebase or point to specific areas, apply Auto Scope Detection (`../_shared/common.md`) first.
1. Scan for all six decay risks (Step 1 of the guide); list every finding before scoring 2. Apply the Pain × Spread priority formula and classify debt intent (Steps 2–3 of the guide) 3. Group findings by decay risk (Step 4 of the guide) 4. Output using the Report Template from common.md, plus the Debt Summary Table
**Mode line in report:** `Tech Debt Assessment`
AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix
Repo: hyhmrright/brooks-lint
Maintenance orchestrator for the brooks-lint plugin itself. Runs a sequential subagent pipeline — author → eval → QA → trigger-audit → release — to add or edit…
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