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brooks-debt

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포크59

업데이트2026년 6월 20일 17:24

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.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

hyhmrright

hyhmrright/brooks-lint

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

Brooks-Lint — Tech Debt Assessment

Setup

Read ../_shared/common.md for the Iron Law, Project Config, Report Template, and Health Score rules
Read ../_shared/source-coverage.md for book-level coverage, exceptions, and tradeoffs
Read ../_shared/decay-risks.md for symptom definitions and source attributions
Read debt-guide.md in this directory for the debt classification framework

Process

If the user has not described the codebase or pointed to specific areas: apply Auto Scope Detection from ../_shared/common.md to determine the assessment scope before proceeding.

Scan for all six decay risks (Step 1 of the guide); list every finding before scoring
Apply the Pain × Spread priority formula and classify debt intent (Steps 2–3 of the guide)
Group findings by decay risk (Step 4 of the guide)
Output using the Report Template from common.md, plus the Debt Summary Table

Mode line in report: Tech Debt Assessment

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Combined codebase health dashboard that scores a project across all four quality dimensions — PR quality, architecture, tech debt, and test quality — in a single pass, drawing on twelve classic engineering books. Triggers when: user wants an overall quality assessment, asks "how healthy is this codebase?", "run all the checks", "I need a health score before the release", or wants to onboard a new team with a quality overview. Do NOT trigger for: server health checks, HTTP health endpoints, Kubernetes liveness/readiness probes, database health, or application uptime. Also do not trigger when the user specifically requests only one dimension — use the corresponding focused skill instead (brooks-review / brooks-audit / brooks-debt / brooks-test).

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PR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books. Triggers when: user asks to review code, check a PR, shares a diff or pastes code asking "does this look right?" / "any issues here?" / "ready to merge?", or asks for feedback on a function, class, or file. Also triggers when user mentions: code smells / refactoring / clean architecture / DDD / SOLID principles / Hyrum's Law / deep modules / tactical programming / conceptual integrity / Brooks's Law / Mythical Man-Month / second system effect. Do NOT trigger for: questions about how to write code from scratch, language syntax questions, or framework/tool questions where no existing code is shared.

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Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.

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brooks-test

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Test quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares test files for review, or expresses frustration: "tests keep breaking whenever I change anything", "our tests take forever", "tests pass but bugs still reach production", or "we have too many mocks". Do NOT trigger for: writing new tests from scratch (use the regular test-writing workflow) or testing framework/syntax questions — this skill reviews an existing suite for structural quality problems, not individual test authoring.

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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 a skill, refresh the eval suite, keep the four manifests + README + CHANGELOG + AGENTS/GEMINI in sync, audit trigger boundaries, and cut releases. Drives the five agents in .claude/agents/ (skill-author, eval-curator, consistency-qa, trigger-boundary-auditor, release-manager). Triggers when the maintainer asks to work ON brooks-lint itself: "add a new skill", "edit the brooks-debt guide", "update the eval suite", "fix the trigger descriptions", "make this change and validate it", "release brooks-lint", "bump and publish", and follow-ups: "re-run", "re-validate", "update that skill", "redo the audit", "do the X part again". Do NOT trigger for: USING the brooks-lint analysis skills on some target codebase (that's brooks-review / brooks-audit / brooks-debt / brooks-test / brooks-health / brooks-sweep); generic questions about brooks-lint that don't ask to

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name

brooks-debt

description

Brooks-Lint — Tech Debt Assessment

Setup

Read ../_shared/common.md for the Iron Law, Project Config, Report Template, and Health Score rules
Read ../_shared/source-coverage.md for book-level coverage, exceptions, and tradeoffs
Read ../_shared/decay-risks.md for symptom definitions and source attributions
Read debt-guide.md in this directory for the debt classification framework

Process

If the user has not described the codebase or pointed to specific areas: apply Auto Scope Detection from ../_shared/common.md to determine the assessment scope before proceeding.

Scan for all six decay risks (Step 1 of the guide); list every finding before scoring
Apply the Pain × Spread priority formula and classify debt intent (Steps 2–3 of the guide)
Group findings by decay risk (Step 4 of the guide)
Output using the Report Template from common.md, plus the Debt Summary Table

Mode line in report: Tech Debt Assessment