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claudeClaude 搜索

Agent Skill

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。

总安装

20,520

周安装

855

GitHub Stars

公开资料未说明

下载量

6,840
OpenClaw

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

MIT-0

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: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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

93.98%
按下载量换算6,428

安全审计

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通过

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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。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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