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QClaw

面向 OpenClaw 工作流的微信群聊信号提取技能。输入粘贴的纯文本或含时间戳、发送者、内容的 JSON 聊天记录,可选关键词,输出执行摘要、已定决策、行动项、关键词提及、风险与冲突及建议跟进,并声明脱敏、不过度留存、标注不确定、不虚构缺失上下文。

projectsnowwork
projectsnowwork
热度 87.71
最近更新 2026-05-11 17:30:07
分类:协作依赖:内部调用大模型应用场景:摘要总结 / 会议纪要 / 任务管理 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add qclaw
Metadata
name
QClaw
description
Summarize noisy WeChat group chats into decisions, action items, mentions, risks, and tracked keywords for OpenClaw workflows.
version
1.0.0
metadata
{"openclaw":{"emoji":"💬"}}

QClaw

QClaw is a WeChat group chat signal extraction skill.

Use this skill when the user wants to:

  • summarize a WeChat group chat
  • extract decisions and action items
  • track keywords such as project names, clients, or deadlines
  • identify direct or implicit mentions that may need attention
  • detect conflict, urgency, or risk in busy group discussions

What this skill does

  • compresses long group conversations into short, useful summaries
  • separates signal from noise
  • extracts decisions, tasks, blockers, and next steps
  • highlights mentions of tracked keywords
  • identifies messages that likely require the user's attention

How to use

Prerequisites

  • OpenClaw installed
  • A WeChat group chat log pasted as text, or exported as txt/json
  • Optional tracked keywords supplied by the user

Accepted input

  • plain text chat log
  • JSON array of messages with timestamp, sender, and content
  • copied chat transcript

Best output structure

  1. Executive summary
  2. Decisions made
  3. Action items
  4. Mentions and keyword hits
  5. Risks / conflicts / urgency
  6. Suggested follow-up

Privacy & Security

  • Prefer anonymized or redacted chat logs when possible
  • Do not retain chat content longer than needed for the current workflow
  • Mark uncertainty clearly
  • Never fabricate missing context

When NOT to use QClaw

  • personal 1-on-1 chats
  • groups with very few messages
  • real-time alerting workflows
  • legal or compliance workflows requiring verbatim records