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Agent Skill · 效率

claude(Claude 搜索)

claude 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

claude 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 2,976。

总安装 20,520周安装 855GitHub Stars 公开资料未说明下载 6,840核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:claude(Claude 搜索)
来源仓库:https://github.com/duclawbot/claude
安装命令:
openclaw skills install claude
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install claude

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

辅助前端页面与组件开发,支持样式与交互逻辑生成。适合维护现有项目或快速搭建界面原型。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。可结合具体 UI 框架提供实现建议与代码片段。需明确目标平台与技术栈以确保输出准确性。claude 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install claude;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

claude 怎么安装?

在终端执行 openclaw skills install claude。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claude 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

claude 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

claude 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claude 用的人多吗?

公开数据是累计安装 20,520 次,近一周安装 855 次,下载 6,840 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

claude 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
claude

Claude 搜索 · 本页

20,520—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Claude
description
>
version
1.0.0

Claude

Turn long, messy, high-stakes documents into sharper reasoning and cleaner decisions.

Claude is a long-context reasoning optimizer for commercial and legal document workflows.

Use this skill when you need to:

  • analyze long contracts, memos, proposals, or negotiations
  • improve reasoning quality across dense written material
  • surface contradictions, weak logic, or missing assumptions
  • compress large documents into decision-ready summaries
  • strengthen document structure before review or approval
  • compare multiple versions of a long-form document

This skill does NOT:

  • replace licensed legal advice
  • guarantee correctness in regulated or high-risk matters
  • sign off on legal, tax, or compliance decisions
  • act as a substitute for professional counsel

What This Skill Does

Claude helps:

  • extract the core logic from long documents
  • identify missing assumptions and weak reasoning
  • clarify structure, argument flow, and decision relevance
  • detect inconsistencies, ambiguity, and hidden risk
  • improve summaries without losing critical nuance
  • rewrite dense content into cleaner, more usable formats

Best Use Cases

  • contract review preparation
  • commercial memo analysis
  • proposal and redline review
  • policy comparison
  • negotiation brief preparation
  • board or executive memo compression
  • legal-adjacent document structuring

What to Provide

Useful input includes:

  • the full document or excerpt
  • the purpose of the review
  • the decision being supported
  • known risks or pressure points
  • the audience for the final output
  • whether you want diagnosis, summary, rewrite, or comparison

Standard Output Format

DOCUMENT ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Purpose: [What this document is trying to do] Audience: [Who the output is for] Decision relevance: [Why this matters]

CORE LOGIC ━━━━━━━━━━━━━━━━━━━━━━━━━━

  • [Main claim / obligation / commercial point]
  • [Supporting logic]
  • [Critical assumption]

RISKS / WEAK POINTS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Ambiguity] ⚠️ [Contradiction] ⚠️ [Missing assumption] ⚠️ [Commercial or legal risk signal]

STRUCTURE IMPROVEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━

  1. [How to make reasoning clearer]
  2. [How to reduce ambiguity]
  3. [How to improve decision usefulness]

RECOMMENDED NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━

  • [Review further / rewrite / compare versions / escalate to counsel / prepare summary]

Reasoning Principles

  • preserve critical nuance
  • do not compress away risk
  • separate fact, inference, and recommendation
  • identify what is explicit vs implied
  • highlight missing assumptions before proposing conclusions
  • prefer clarity over flourish
  • never invent legal or commercial certainty

Execution Protocol (for AI agents)

When user provides a long document, follow this sequence:

Step 1: Parse context

Extract:

  • document type
  • intended audience
  • decision being supported
  • major obligations, claims, or asks
  • commercial or legal sensitivity

Step 2: Identify logic structure

Map:

  • what the document is saying
  • why it matters
  • what assumptions it depends on
  • what could fail under scrutiny

Step 3: Detect weaknesses

Check for:

  • ambiguity
  • contradiction
  • undefined terms
  • missing scope boundaries
  • missing decision logic
  • hidden risk transfer
  • structural confusion

Step 4: Improve usefulness

Depending on request:

  • summarize
  • rewrite
  • compare
  • diagnose
  • convert into brief / memo / checklist

Step 5: Guardrails

If legal or commercial certainty cannot be established from the text:

  • say so clearly
  • mark uncertainty
  • do not fabricate confidence

Activation Rules (for AI agents)

Use this skill when the user asks about:

  • long documents
  • contract-like text
  • legal-adjacent review
  • memo analysis
  • commercial document reasoning
  • dense text summarization with nuance
  • comparing two long versions of a document

Do NOT use this skill when:

  • user only needs a casual short rewrite
  • user needs creative writing instead of reasoning
  • user needs formal legal advice or sign-off
  • user asks for certainty where the text does not support it

If context is ambiguous

Ask: "Do you want deep reasoning and document analysis, or just a simple rewrite?"


Works Well With

  • @ethagent/review for narrower document review workflows
  • @ethagent/draft for rewriting after diagnosis
  • @dpetcr/proposal for commercial proposal refinement

Boundaries

This skill supports reasoning, structuring, and analysis of long commercial and legal-adjacent documents.

It does not replace:

  • licensed legal advice
  • contract execution authority
  • procurement approval
  • tax or compliance judgment

Use outputs as analytical support, not formal sign-off.

平台分布

OpenClaw

93.98%
按下载量换算6,428

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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