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Produces a severity-rated (高/中/低) Clean Code findings report across 7 dimensions (naming, function size/SRP, duplication/DRY, over-engineering/YAGNI, magic numbers, structural clarity, project conventions), each with a location and a behavior-preserving refactor suggestion — never changing functionality. Use whenever the user asks for a code review, quality check, refactor advice, or code-smell / Clean Code analysis, OR points at a file/function/diff and asks if it is well-written, too long, too repetitive, over-engineered, or poorly named — even casually, and even if they never say "review" ("I just wrote this, look it over", "does this look good before I commit"). Trigger on 代码体检, 代码质量, 重构检查, 代码审查, 这段代码写得怎么样, 帮我看看代码有没有问题, 有没有坏味道, 这函数是不是太长了, 命名规范吗, 魔法数字, 重复代码, 过度设计, and English like "is this code clean", "any code smells", "check this file".
Generate a magazine-quality visual card as a single self-contained HTML file (embedded CSS, Swiss-grid + bold-type design system), then screenshot it to a shareable PNG and hand back both files. Use this whenever the user wants content turned into a visually rich card or shareable image — even if they don't say the word "card." Triggers: make/create/generate/design a visual card, info card, knowledge card, quote card, social card, summary/takeaway/cheatsheet card; 信息卡, 知识卡片, 金句卡, 语录卡, 做张卡片, 设计一张卡片, 把这段内容做成卡片, 把要点排成一张图, 总结成一张图, 小红书封面, 公众号封面图, 朋友圈配图. Prefer this over generic HTML/frontend skills when the goal is one decorative card image. When the content is a multi-section report instead of a single card, use hai-visual-report.
Audit and design entity data models into a field-by-field markdown report: a target-vs-current audit table per entity, a classification of every field (table column / config blob / runtime-computed / remove), a grouped migration change list, and design-decision justifications. Use this whenever the user reasons about what fields an entity should have or where they should live, even if they never say "audit": designing a data model, checking PRD fields against a DB schema, deciding store-vs-compute or column-vs-jsonb, spotting a bloated or over-modeled entity, or planning a schema migration. Trigger even when they just paste a PRD, schema, or Prisma/SQLAlchemy model and ask "are the fields right", "what's missing", "should this be a column or jsonb", "is this field even needed". Also on 实体建模, 数据模型审核, 字段审查, 字段太多了, 这个表设计得对吗, PRD 对齐, 模型设计, 该存还是该算, 列还是配置, 帮我看下这个模型.
Basado en la clasificación ocupacional SOC
Mostrando SKILL.md
| name | .agents |
| description | Ivan Skills 仓库级入口说明与维护规范 |
这个文件是仓库总入口说明，不对应单个业务 skill。
skills/ 下的 skill。skills/ 目录下。SKILL.md。