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api-review

Reviews the specified code against the canonical API Design guidelines. Use this skill when the user asks for an API review or to check code against API design principles.

ソース情報

リポジトリ
flutter/agent-plugins
ソースの最終更新活動
2026年7月16日 19:41
検出された SKILL.md の言語
英語
スター
3,138
フォーク
190

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SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
api-review
description
Reviews the specified code against the canonical API Design guidelines. Use this skill when the user asks for an API review or to check code against API design principles.
# API review skill This skill reviews code against the canonical API Design guidelines. ## Instructions 1. **Load Guidelines**: Read the API design guidelines from [references/canonical_api_design.md](references/canonical_api_design.md) to ensure they are fully available in the context. 2. **Identify Target**: Identify the code to review. - If the user specified files (e.g., "review main.dart"), use those. - If the user has an open file in their context, assume that is the target. - If neither, ask the user to specify the target files. 3. **Analyze**: For each target file, perform a deep analysis against the "Foundations of Canonical API Design Principles" (loaded in step 1), specifically looking for: - **Contract-First**: Is the interface clear and decoupled from implementation? - **KISS/YAGNI**: Are there unnecessary parameters or over-generalized features? - **Ergonomics**: Are names intent-revealing? Do they follow the Principle of Least Astonishment? - **CQS**: Are commands and queries separated? - **Safety**: Are types used strictly (Enums vs Strings)? Is validation visible? - **Explicit Configuration**: Are dependencies explicitly injected rather than implicitly resolved via global state, registries, or environment variables? 4. **Report**: Generate a structured report: - **Score**: Give a letter grade (A-F) based on alignment. - **Critical Issues**: Violations that _must_ be fixed (e.g., severe strictness or safety issues). - **Suggestions**: Ergonomic improvements (renaming, rearranging). - **Code Examples**: Provide `before` vs `after` code blocks for the suggested improvements. - Save the report as a markdown artifact in the conversation artifacts directory (e.g., `<appDataDir>/brain/<conversation-id>/api_review_results.md`).
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