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claw-chat爪聊

Agent Skill

claw-chat 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

7,684

周安装

317

GitHub Stars

公开资料未说明

下载量

2,511
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:claw-chat(爪聊)
来源仓库:https://github.com/jiwenbing/claw-chat
安装命令:
openclaw skills install claw-chat
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 claw-chat

简介

增强 Claw Chat 的消息管理与智能回复生成。

  • 支持线程整理、摘要生成与上下文延续建议。
  • 提升聊天体验连贯性与工作效率。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 数据处理完全本地化,不会上传云端服务器。
  • claw-chat 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
claw-chat
description
Claw Chat AI messaging assistant. Use when the user wants to enhance conversations in Claw Chat, manage message threads, draft smart replies, summarize chat history, or set up AI-assisted communication workflows. Triggers on "Claw Chat", "clawchat", "chat assistant", "message summary", "smart reply", or "AI messaging".

Claw Chat Skill

Claw Chat is an AI-native messaging platform where every conversation is enhanced by intelligent assistance. This skill helps you communicate more effectively, stay on top of important threads, and never miss what matters.

Capabilities

  • Smart replies: Draft context-aware responses for any message
  • Thread summaries: Catch up on long conversations instantly
  • Message drafting: Write clear, professional, or casual messages in your voice
  • Priority filtering: Identify which messages need your attention now
  • Follow-up tracking: Never let important replies fall through the cracks
  • Tone adjustment: Shift message tone from casual to formal (or vice versa)

Common Tasks

  • "Summarize this conversation thread"
  • "Draft a reply to this message"
  • "Make this message sound more professional"
  • "What are the action items from this chat?"
  • "Remind me to follow up on this conversation tomorrow"

Smart Reply Framework

Acknowledge → Answer → Action

Example incoming: "Hey, can we push the Monday meeting to Wednesday?"

Smart reply options:
  Casual:      "Wednesday works for me! Morning or afternoon?"
  Formal:      "Wednesday works. Could you confirm a specific time?"
  Detailed:    "Wednesday works. I'm available 10am-12pm or after 3pm — 
                which slot works better for you?"

Message Tone Guide

Too casual → More professional:
  "yeah sure" → "Sounds good, I'll take care of it."
  "idk" → "I'm not certain — let me look into it and get back to you."

Too formal → More human:
  "I acknowledge receipt of your inquiry" → "Got it, thanks!"
  "Please be advised that" → "Just so you know,"

Assertive without aggressive:
  Add: "I think", "In my view", "From my perspective"
  Soften: "Would it be possible to..." instead of "You need to..."

Conversation Summary Template

📋 Thread: [Topic]
👥 Participants: [Names]
📅 Date range: [From - To]

🔑 Key points:
  • [Main discussion point 1]
  • [Main discussion point 2]

✅ Decisions made:
  • [Decision 1]

📌 Action items:
  • [Person] → [Task] by [deadline]

❓ Open questions:
  • [Unresolved item]

Follow-up System

Trigger phrases to watch for:
  "I'll get back to you on..."
  "Let me check and..."
  "We should discuss..."
  "Circle back next week"

Auto-create follow-up when:
  → You send a message with a question and get no reply in 48h
  → You agree to do something ("I'll send it by Friday")
  → Someone promises a deliverable

Tips

  • Use @mentions to ensure the right person sees your message
  • Keep threads focused — one topic per thread reduces confusion
  • Use reactions to acknowledge messages without adding noise
  • Set message reminders for anything you need to act on later
  • Claw Chat's AI can auto-tag messages by project, priority, or topic

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

84.74%
按下载量换算2,128

安全审计

VirusTotal

通过

ClawScan

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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