跳到正文
cccskills
免费在 GitHub 公开

principle-minimize-reader-load

Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md2.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Minimize Reader Load

Maintainability is the work a reader must do to understand code. Track two axes:

  1. Layers to trace. How many indirections sit between the question and the answer.
  2. State to hold. How much hidden or mutable context the reader must keep in their head.

Why: Code is read far more than it is written. LOC, cyclomatic complexity, and "clean architecture" are proxies. Reader load is the thing that matters. The two axes are independent. A flat file with 50 globals can be as hard to reason about as a 6-layer adapter stack. Guard both. This is the human analog of Guard the Context Window: working memory is finite for readers too.

The pattern:

  • Collapse layers that do not earn their keep: wrappers with one caller, adapters with no second implementation, indirection introduced for a future that never came. Inline them.
  • Make adjacent layers change the abstraction. A layer that repeats the same methods and arguments adds reader load without compression. Collapse pass-through layers.
  • Demand interface compression. A broad interface that hides little complexity makes readers learn both the surface and the implementation. Prefer boundaries that hide meaningful decisions.
  • Shrink state scope: prefer pure functions (returns over mutations), locals over fields, fields over module state, and module state over globals. Derive instead of sync.
  • Name the invariant at the boundary, not in every consumer, so the reader learns it once.
  • Before adding a layer or a piece of state, ask: does this reduce reader load somewhere else by at least as much?

The test: Can a new reader answer "where does X come from?" and "what can change X?" in under 30 seconds? If not, cut layers or cut state.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

architect

免费

Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

arena

免费

Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

在 rove 仓库内跑 auto-motion——把 transcription.srt 拆成多段 MG 动画镜头并拼接成竖屏视频(storyboard 分镜 + theme.md 全片主题 + 逐镜头 claude -p 子进程 + ffmpeg 拼接)。本 skill 是薄 wrapper:解析 auto-motion 模板根,继承 rove 品牌 theme,执行逻辑以 auto-motion 仓库的 canonical SKILL.md 为准。当用户说"跑 auto-motion"、"把这个字幕稿/口播稿做成视频"、"给 rove 做一条 MG 宣传片"时使用。

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

Draft Rove release notes as Changesets. Writes user-facing entries as `.changeset/*.md` files for `@sma1lboy/rove` (consumed into `packages/rove/CHANGELOG.md` at release time). Use when the user asks for "changelog", "release notes", "what changed", "add a changeset", or before cutting a version. Enforces Rove's no-soft-wrap rule so GitHub release pages render flowing text.

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions via show-me-your-work. Use for /figure-it-out, 'figure it out', a large migration, or when no narrower playbook applies.

中文简介正在准备中。当前显示原文说明。

Sma1lboy/rove1762026年10月19日 更新

查看 Sma1lboy 的全部技能

报告此技能的问题