界面已本地化;技能介绍与说明文档按所选语言由 AI 自动翻译,代码、命令、路径和专业术语保留原文,以原作者文档为准。
探索技能
设计与创意 · SKILL.md

api-review

api-review

【设计与创意】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.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准

Fflutter / skillsBSD-3-Clause

技能说明

GitHub

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 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).
我的收藏