AI Agent Skills

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and…

Review changes on current branch and output a structured review. Optionally post to PR with --pr flag, or apply non-blocking follow-ups inline with --apply-followups.

AI-powered code review. Catches bugs, suggests improvements, checks style. Analyzes code changes, diffs, or pull requests and provides actionable, prioritized f

Review other contributors' PRs to learn the codebase and build maintainer trust. Guides structured diff reading, helps formulate review comments, and teaches how to dist…

Reviews repository diffs, PRs, codebases, and completed implementations for material, evidence-backed defects and plan compliance. Use this skill when asked to

Adversarial code review of server-side TypeScript for adherence to the kamae principles (discriminated unions, branded types, Result error handling, boundary validation,…

Perform phase 3.3 deep analysis of an in-scope attack surface for a threat model. USE WHEN the orientation brief is ready and code must be read to derive the §1

Code review tag taxonomy and findings output format — guardrail violations, dead code, test quality, bad comments, optimizations, YAGNI/over-engineering, error handling,…

WooCommerce extension code review for HPOS compatibility, payment gateway security, cart optimization, and template overrides. Use when reviewing WooCommerce extension c…

Use when handing finished work over to code review — writing a PR description or packaging a change for review by a human, an agent, or both.

Review the local diff against Darkroom's checklist, or summarize feedback on the active PR. Triggers "review my changes", "check this diff", "summarize PR feedback". Nat…

Grade the prose in a patch against prose-style.md and report the findings; apply them with --fix. Covers code comments and javadoc by default, and commit messages, the P…

Use when reviewing Roblox or Luau code for security, performance, monetization, data persistence, or architecture risks.

Specialized software engineering prompt methodology for Claude. Use when building prompts for system design, code review, incident response, security analysis,

Use when stress-testing a proposal, plan, architecture or decision before committing to it, such as pre-mortems, assumption audits, "should we even do this?" questions,…

Use when completing tasks, implementing major features, or before merging to verify work meets requirements