Vague commit messages make change history difficult to understand. This skill uses staged changes to draft typed subjects and optional bodies explaining the reason.

Pull request reviews can miss issues across security, tests, performance, and maintenance. This skill organizes twelve review domains and prepares findings for GitHub comments.

Reviews can miss failure conditions or accept fixes without reliable evidence. Gauntlet guides scoped adversarial reviews, authorized repairs, and revision-bound verification within a finite budget.

TypeScript プロジェクトは、弱い型、重複したスキーマ、壊れやすい状態モデルへと流れがちです。このスキルは、Claude、Codex、Claude Code をより安全な TypeScript パターンへ導きます。

Tamaguiプロジェクトでは、トークンの一貫性欠如、低速なコンポーネント、アクセシビリティに配慮されていないパターンが問題になることがあります。このスキルは、設定、コンパイラ最適化、フォーム、オーバーレイ、アニメーション、テーマについて実践的なv1ガイダンスを提供します。

Python プロジェクトは、弱い型付け、可変モデル、不明確なエラー処理に流れがちです。このスキルは、Claude、Codex、Claude Code に、より安全で明確な Python 変更のための重点的なルールを提供します。

Playwright テストは、エージェントワークフローで不安定、低速、ノイズ過多になりがちです。このスキルは、ロケーター、アサーション、フィクスチャ、認証の再利用、ネットワークモック、コンパクトなレポーターのための簡潔なパターンを提供します。

Go プロジェクトでは、弱い型、不明瞭なインターフェース、一貫性のないエラーハンドリングに陥ることがあります。このスキルは、Claude、Codex、Claude Code に、慣用的な Go の設計、エラー、ロギングに関する重点的なガイダンスを提供します。

iOS simulator testingでは、再現可能なタップ、テキスト入力、スクリーンショット、アクセシビリティチェックが必要になることがよくあります。このスキルは、Claude、Codex、Claude Codeのワークフロー向けにAXe CLIコマンドパターンを提供します。

Execution plans often pass review while still missing acceptance criteria, deltas, or verification steps, which causes rework during implementation. This skill routes each plan to the correct review lane and checklist, then returns graded blockers so a plan is only marked implementation-ready when it is truly executable.

Vague requests waste engineering time and cause rework. This skill turns them into structured execution plans with clear gates, mandatory steps, and acceptance checks.

Large coding plans often fail when an agent edits too much at once. This skill implements one approved plan step at a time, keeps edits scoped, and reports a clear status when the step is done.

ai-gates documentation can be difficult to apply when project files, plugin files, and hooks have separate roles. This skill explains the workflow boundaries so users can start work, upgrade safely, and avoid duplicate setup.

Substantial feature work can become ambiguous when product intent, technical decisions, and implementation drift apart. This skill guides agents through practical product and technical specifications that stay aligned with shipped work.

Static React interfaces are difficult to generate and maintain from structured data. This skill explains how to render JSON specs, define catalogs, manage state, and connect events in React.

Connecting JSON specifications to Next.js routes, layouts, and server rendering requires several integration steps. This skill guides AI assistants through the documented json-render setup.

JSON-driven interfaces need consistent formatting, calculations, and translated labels. This skill guides directive setup, nested expressions, and custom resolvers for json-render.

Generative interfaces can make rendering errors, state changes, and streamed updates difficult to trace. This skill guides devtools integration and inspection workflows for json-render apps.

AI-generated interfaces need consistent schemas, state bindings, and validation. This skill guides assistants through json-render core APIs for catalogs, prompts, streaming, and specification repair.

Turning UI specifications into maintainable application code can require repetitive traversal and prop serialization. This skill provides reusable utilities for generating structured code and custom exporters from json-render specifications.