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pull-complexity-down降低复杂性

Agent Skill

pull-complexity-down 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

188

周安装

8

GitHub Stars

4

下载量

66
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:pull-complexity-down(降低复杂性)
来源仓库:https://github.com/codybrom/clairvoyance
仓库路径:skills/pull-complexity-down
安装命令:
npx skills add https://github.com/codybrom/clairvoyance --skill pull-complexity-down
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/codybrom/clairvoyance --skill pull-complexity-down

简介

用于降低代码复杂度并提供重构建议。

  • 适合技术债务清理与可维护性提升任务。
  • 安装后分析代码库并输出优化方向。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。
  • 建议结合静态分析工具交叉验证结果准确性。
  • pull-complexity-down 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Pull Complexity Downwards Review Lens

When invoked with $ARGUMENTS, focus the analysis on the specified file or module. Read the target code first, then apply the checks below.

Evaluate whether complexity is absorbed into implementations or pushed up to callers.

When to Apply

  • Designing or reviewing a module's interface
  • When callers must do significant setup or configuration
  • When callers handle errors or edge cases the module could handle internally
  • When configuration parameters are being added to an API
  • When evaluating decorator or wrapper patterns

Core Principles

The Core Asymmetry

One implementer, many callers. Complexity in the implementation is paid once. Complexity in the interface is paid by every caller.

When developers encounter a hard problem, the path of least resistance is to push it upward: throw an exception, add a configuration parameter, define an abstract policy. These moves feel like good engineering. But all you have done is distribute the decision to a larger number of people who typically have less context.

Configuration Parameter Test - The Three AND Conditions

Configuration parameters are not a feature. They are a symptom of an incomplete module. Every parameter exported is a decision the developer chose not to make.

  1. Different callers genuinely need different values, AND
  2. The correct value cannot be determined automatically, AND
  3. The impact is significant enough to justify the interface cost

If any condition fails:

  • All callers use the same value → make it a constant
  • The module can compute a good value → compute it dynamically
  • The impact is negligible → pick a sensible default

Even for legitimate parameters, provide reasonable defaults so users only need to provide values under exceptional conditions.

Dynamic computation beats static configuration. A network protocol that measures response times and computes retry intervals automatically is superior to one that exports a retry-interval parameter: better accuracy, adapts to conditions, and the parameter disappears from the interface entirely.

When uncertain about a decision, making it configurable feels responsible but that is avoidance dressed as engineering. Configuration parameters and thrown exceptions share the same impulse because both inflict complexity on callers.

Three AND Conditions: When NOT to Pull Down

Pulling complexity down has a limit. Adding a backspace(cursor) method to a text class appears to absorb UI complexity, but the text class has nothing to do with the backspace key. That is UI knowledge forced into the wrong module, which is information leakage masquerading as good design.

All Three Must Hold:

  1. The complexity is closely related to the module's existing functionality
  2. Pulling it down simplifies the rest of the application
  3. Pulling it down simplifies the module's interface

Failing any single one means the complexity belongs somewhere else.

Related Techniques

*Context objects* and *decorator alternatives* are tools for pulling complexity down. Both are detailed in deep-modules: context objects solve pass-through variables. Decorator alternatives prevent shallow wrapper layers.

Review Process

  1. Inventory interface elements: List every parameter, exception, and constraint callers must handle
  2. Apply the core asymmetry: For each: could the module handle this internally?
  3. Test configuration parameters: Does each pass the three AND conditions?
  4. Check for dynamic alternatives: Could any static configuration be computed from internal measurements?
  5. Evaluate decorators: Shallow pass-through layer, or genuine abstraction?
  6. Recommend simplification: Propose specific interface reductions

Red flag signals for complexity direction are cataloged in red-flags (Overexposure, Pass-Through Method).

References

For deeper coverage, read the following:

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能力 2

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能力 3

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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

35.44%
按下载量换算23

Claude

31.65%
按下载量换算21

Cursor

16.99%
按下载量换算11

Gemini CLI

9.84%
按下载量换算6

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

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来源信息

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