s977043

Generate Remix loader/action and route component test skeletons.

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運用で発見されたレビューパターン (findings / retrospective) を分析し、新 skill への昇格候補 / 既存 skill 更新候補 / 人間判断が必要な項目に分類する

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Generate TypeScript unit test skeletons (Jest/Vitest) from specifications.

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.river-review.{yaml,json} の context.budget / ranking / reviewMode 設定をモデル仕様とリポジトリ規模に合わせて調整するレビュー観点。

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新規・変更 skill の fixture/eval と、WITH/WITHOUT の paired ablation による限界寄与の評価可能性を確認し、activation と effectiveness を分離して案内する。

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Ensure designs document third-party dependencies, SLAs, quotas, failure modes, and vendor lock-in mitigation.

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Generate generic React component test skeletons (RTL) from specifications.

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スキーマ/データ移行の安全性を framework 非依存で審査する。破壊的スキーマ変更・ロック誘発・backfill・ロールバック可逆性・expand-contract の段階適用を、prisma / typeorm / Rails / Django / Alembic / 生 SQL などに横断適用する。

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Ensure OpenAPI specs define consistent request/response schemas, error model, auth, pagination, and backward compatibility.

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Ensure designs define operability basics: SLO/SLI, monitoring, alerting, on-call actions, and incident handling expectations.

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River Review の artifact / memory / log に対して、retention 設定 + hard guards + excludes から決定論的に KEEP/REMOVE を判定する GC skill

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pbi-input, plan, todo, test-cases 間の整合性をチェックし、実装着手前の仕様漏れを検知する

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既存のレビュー結果 (review-self / review-external) を再点検し、漏れ・誤検知・ハルシネーション・根拠欠落を検出する W チェック skill

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変更が将来インシデントや技術的負債を引き起こすと仮定し、その原因と経路を逆算して設計の盲点を可視化する

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Generate React/Next.js component test skeletons (RTL) from specifications.

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Ensure architecture updates document affected stakeholders, notification plan, and deprecation/retirement signals to keep knowledge aligned.

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Ensure architecture/design docs state traffic assumptions, performance budgets, resource limits, and cost risks for critical paths.

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Detect missing validation plans (how to verify the design is correct) in design documents and ADRs.

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差分に追加された API キー・トークン・credential・秘密鍵・.env 値・個人ローカルパスなどの機密情報を、言語・ファイル種別に依存せず検出する。決定論的に判定できる範囲は CI（gitleaks 等）へ移譲しつつ、レビューで取りこぼしを補足する

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Detect undefined or inconsistent cache strategies (layers, consistency, invalidation, TTL, failure handling) in design documents.

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Applies standard AI review policy guidelines for midstream (implementation) phase reviews.

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レビューコメントの重要度ラベリングと対応方針・返信案を整理する。AI はコード修正やパッチ提案を行わない。

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Ensure API/contract changes specify versioning strategy, backward compatibility, deprecation plan, and migration guidance.

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コミット/PR の「全部置換した」「-N%削減」等の完了主張を grep で反証できる残骸や best/typical/worst 試算で検証し、抽出・集約リファクタでは並列度(Promise.all)/fast-path/遅延評価の性能特性退行と、Map/Set 集約キーの cross-kind 衝突による検出漏れも監査する

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