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signal-over-noise信噪比

Agent Skill

signal-over-noise 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

235

周安装

10

GitHub Stars

2,028

下载量

82
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:signal-over-noise(信噪比)
来源仓库:https://github.com/jamiemason/syncpack
仓库路径:skills/signal-over-noise
安装命令:
npx skills add https://github.com/jamiemason/syncpack --skill signal-over-noise
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/jamiemason/syncpack --skill signal-over-noise

简介

用于查找、检索和筛选相关信息。signal-over-noise 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在需要线索匹配或关键词搜索的场景使用。
  • 通过 GitHub 安装,需确认是否支持联网或文件操作。
  • 安装前建议核实权限范围和维护状态。
  • 适用于 Codex、Claude、Cursor 等研究检索类宿主环境。

SKILL.md

Signal Over Noise

Maximize useful information per word. Remove everything that doesn't earn its space.

What This Is

Signal = information that moves the reader toward action or understanding. Noise = filler, explanations of obvious things, hedging language, unnecessary context.

High signal-to-noise ratio means readers get what they need faster. Every word counts.

When to Use

  • Writing documentation, guides, skill descriptions
  • Creating error messages and feedback
  • Structuring arguments or explanations
  • Naming things (variables, functions, branches)
  • Any communication where clarity matters

How to Apply

1. Remove Filler Words

High noise:

  • "basically"
  • "essentially"
  • "in order to"
  • "comprehensive"
  • "helpful"
  • "I think that"
  • "it could be argued that"

Before: "Basically, you should essentially use this pattern in order to get comprehensive error handling."

After: "Use this pattern for error handling."

2. Cut Explanations of Obvious Things

Don't explain what readers already know. Assume competence.

Before: "Rust is a programming language. In Rust, you write code. This code runs on computers. When you compile Rust code, it produces a binary executable file."

After: "Compile Rust code to a binary with cargo build --release."

3. Front-Load the Point

Put the actionable information first. Context follows.

Before: "There are several reasons why you might want to consider testing your code. First, testing helps catch bugs. Second, it makes refactoring safer. Most importantly, tests serve as documentation. You should write tests."

After: "Write tests to catch bugs, enable safe refactoring, and document behavior."

4. Use Active, Direct Language

High noise: "It is recommended that consideration be given to..."

Signal: "Consider..."

High noise: "The file was created by the user."

Signal: "Create the file."

5. One Idea Per Sentence

Long sentences hide the point. Break them.

Before: "When you're writing code that handles errors, which can happen in many places throughout your application, you should think about whether you want to handle them at the point where they occur or propagate them upward, and this decision affects how you structure your code."

After: "Handle errors where they occur or propagate them upward. This choice shapes your code structure. Decide early."

6. Name Things Precisely

Names are communication. Bad names add noise; good names clarify.

High noise: process_data(), handle_thing(), do_stuff()

Signal: validate_user_input(), retry_failed_request(), parse_json_config()

7. Omit Context Readers Already Have

Don't repeat what's obvious from surrounding text.

Before: "Here's an example of how to use the feature. In this example, we show you how to use it."

After: "Example:"

Trade-offs

When NOT to apply aggressively

  • Teaching beginners: Some explanatory redundancy helps them build intuition
  • Safety-critical systems: Explicit redundancy catches misunderstanding
  • Legal/compliance docs: Specificity sometimes requires verbose phrasing
  • User research notes: Capture raw data, organize later

The balance

Signal-over-noise isn't "be terse." It's "be useful." Sometimes that means:

  • Repeating a key phrase for emphasis
  • Providing context that prevents misreading
  • Showing your work so readers can verify reasoning
  • Acknowledging limitations explicitly

Remove noise, keep signal. Don't remove useful context.

Examples

Code Documentation

Before:

This function is useful for validating email addresses.
It takes a string as input, which represents the email address
that you want to check. The function will return true if the
email is valid, or false if it is not valid. You might want to
use this function when you need to validate emails.

After:

Validate email addresses. Returns true if valid, false otherwise.

Error Messages

Before:

An error has occurred in the system. The operation you attempted
could not be completed successfully. Please try again later or
contact support if the problem persists.

After:

Failed to fetch user data. Retry or contact support.

Skill Description

Before:

This skill helps you think about how to communicate more effectively
by using techniques that are designed to help you reduce unnecessary
information and focus on the important parts of what you're trying
to say so that your readers understand your message better and faster.

After:

Maximize useful information per word. Remove filler, obvious explanations, and hedging language. Every word should earn its space.

Testing

How to know if you've applied this principle:

  1. Read it aloud. Does every sentence move you forward?
  2. Ask "why?" for each phrase. If the answer is "readers already know this," cut it.
  3. Count words. Did you reduce the word count by 20–40%? Good sign.
  4. Test comprehension. Can a fresh reader understand it without re-reading?
  5. Check names. Are function/variable names predictable and specific?

Application in Syncpack

This principle strengthens all your other skills:

  • write-code: Function names, comments, commit messages all benefit
  • document-code: Docs communicate faster when noise is removed
  • add-feature: Feature descriptions and changelogs stay concise
  • fix-bug: Error messages become actionable, not explanatory
  • search-code: Clear naming makes code more discoverable

Apply signal-over-noise across the board. Your CLAUDE.md already mandates it—this skill formalizes how.

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

36.07%
按下载量换算30

Claude

28.43%
按下载量换算23

Cursor

18.7%
按下载量换算15

Gemini CLI

8.77%
按下载量换算7

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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