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code-simplifier代码简化

Agent Skill

code-simplifier 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

624

周安装

25

GitHub Stars

公开资料未说明

下载量

202
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:code-simplifier(代码简化)
来源仓库:https://github.com/abpai/skills
仓库路径:skills/code-simplifier
安装命令:
npx skills add https://github.com/abpai/skills --skill code-simplifier
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/abpai/skills --skill code-simplifier

简介

code-simplifier 用于审查变更代码并优化其可复用性与可读性,保持功能不变前提下提升质量。

  • 聚焦于用户最近修改的文件,遵循项目编码规范,避免破坏接口与外部行为。
  • 通过 git diff 识别变更,自动检测问题并提供简化建议,支持按任务范围定制修复范围。
  • 操作涉及代码读取与潜在修改,请确保有足够权限且理解其对原逻辑的影响。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Code Simplifier

Review changed code for reuse, quality, and efficiency, then simplify and fix any issues found.

Core Rules

  1. Preserve functionality exactly.
  2. Keep public behavior, outputs, side effects, and interfaces unchanged.
  3. Follow project-specific coding standards and patterns.
  4. Prefer clarity over compactness.
  5. Avoid clever rewrites that reduce debuggability.

Scope

  • Default to the current task's changed files.
  • Focus on code the user just changed or that you changed in this conversation.
  • Keep fixes behavior-preserving unless the user explicitly asked for broader refactors.

Phase 1: Identify Changes

  1. Run git diff.
  2. If there are staged changes, prefer git diff HEAD so staged and unstaged edits are both visible.
  3. If there are no git changes, inspect the most recently modified files relevant to the task.

Phase 2: Run Three Reviews In Parallel

If subagents are available, launch all three review agents concurrently in a single round and pass each agent the full diff.

If subagents are not available, perform the same three review passes yourself.

Launch all three review agents in the same message. Give each agent the full diff so it can reason about the whole change, not just one file in isolation.

Review 1: Code Reuse Review

Check whether the change reimplements logic that already exists.

  • Search for existing helpers, utilities, and shared abstractions that could replace new code.
  • Look in utility directories, shared modules, and files adjacent to the changed code.
  • Flag new functions that duplicate existing behavior.
  • Flag inline logic that should use an existing utility instead of hand-rolled code.
  • Common duplication targets include string manipulation, path handling, env detection, parsing helpers, and type guards.

Review 2: Code Quality Review

Check for structural and maintainability issues.

  • Redundant state: duplicated state, cached values that could be derived, effects that could be direct calls.
  • Parameter sprawl: new parameters added where restructuring or generalization would be cleaner.
  • Copy-paste variation: near-duplicate blocks that should share an abstraction.
  • Leaky abstractions: exposing internal details or breaking module boundaries.
  • Stringly-typed code: raw strings where constants, unions, or existing types should be used.
  • Unnecessary JSX nesting: wrapper elements that add no layout or semantic value.
  • Unnecessary nesting and branching complexity.
  • Unclear identifiers that obscure intent.
  • Dense logic that should be split into coherent, single-purpose helpers.
  • Fragile one-liners that should be explicit, readable control flow.
  • Unnecessary comments: remove comments that only restate what the code does; keep only non-obvious why.

Review 3: Efficiency Review

Check for unnecessary work and avoidable overhead.

  • Unnecessary work: redundant computation, repeated file reads, duplicate API calls, N+1 patterns.
  • Missed concurrency: independent work done sequentially when it could run in parallel.
  • Hot-path bloat: new blocking work in startup, render, request, or polling paths.
  • Recurring no-op updates: state or store writes that fire even when nothing changed; ensure wrapper updaters preserve no-change signals when a same-reference return should short-circuit downstream updates.
  • Unnecessary existence checks: prefer operating directly and handling errors over TOCTOU pre-checks.
  • Memory issues: unbounded collections, missing cleanup, leaked listeners or subscriptions.
  • Overly broad operations: reading or loading more data than needed.

Phase 3: Simplify and Fix

  1. Aggregate the findings from all three review passes.
  2. Fix each worthwhile issue directly.
  3. If a finding is a false positive or not worth changing, skip it without debate.
  4. Re-check the edited code for correctness and local consistency.
  5. Run available lint, test, or targeted validation when practical.
  6. Briefly summarize what you fixed, what you skipped, and whether the reviewed code was already clean.

Boundaries

Do not:

  • Change business logic or edge-case behavior.
  • Alter API contracts, data formats, or error semantics unless requested.
  • Expand scope beyond recently touched code unless explicitly requested.
  • Over-normalize style at the expense of local codebase conventions.

Decision Heuristics

  • If two versions are equivalent, choose the one a new teammate can understand fastest.
  • Keep useful abstractions; remove only those that add indirection without value.
  • Prefer straightforward flow over reduced line count.
  • Stop when readability gains flatten out.

Output

When finished, briefly summarize:

  • what you fixed
  • what you intentionally skipped
  • whether the reviewed code was already clean

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.77%
按下载量换算74

Claude

29.47%
按下载量换算60

Cursor

19.17%
按下载量换算39

Gemini CLI

10.75%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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