Constraint driven development
Write the project quality bar as enforced CONSTRAINTS.md so agents stop quietly lowering it: coverage, performance, accessibility thresholds watched on every diff.
Skills for your AI
Write the project quality bar as enforced CONSTRAINTS.md so agents stop quietly lowering it: coverage, performance, accessibility thresholds watched on every diff.
Stop ineffective AI coding repair loops with stable failure fingerprints, a three-attempt budget, real-path proof, negative controls, and tested rollback.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use when an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without trusting self-reported success.
Babysit a pull request through its bot review rounds: verify, fix, reply, resolve. Use for any babysit or watch-the-PR ask.
Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books.
Maintenance orchestrator for the brooks-lint plugin itself.
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.
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.
Adversarial code auditor that hunts down bugs, logic errors, and security flaws. Use for deep correctness passes, not style reviews.
This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."
Review generated or changed production code with Clean Code, SOLID, DRY, KISS, YAGNI, and LLM-specific failure-mode checks.
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance.
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Identify technical debt from actual code and change history, estimate its impact, and prioritize bounded improvements with explicit assumptions.
Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.
Lower Big-O on existing code via a one-transformation-at-a-time playbook with verify-revert-stop. For new code use lemmaly; for math-level wins escalate to mathguard.
Use when working with comprehensive review full review
Generate structured PR descriptions from diffs, add review checklists, risk assessments, and test coverage summaries. Use when the user says "write a PR description", "improve this PR", "summarize my changes", "PR review", "pull request", or asks to document a
Two-model debate review of a GitHub PR, GitLab MR, Azure DevOps PR, or local working tree, posted as inline comments or printed. Use for any PR/MR review request, or a local review before a PR exists.
Subjects every non-trivial decision to a fresh-context adversarial review before it stands.
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
Verify fix commits address audit findings without new bugs
Correctness-first: forces writing the function contract, loop invariant, termination argument, and edge cases BEFORE code. Catches Boyer-Moore, leftmost binary search, QuickSelect traps.