SkillHub

qclaw

v1.0.0

Summarize noisy WeChat group chats into decisions, action items, mentions, risks, and tracked keywords for OpenClaw workflows.

Sourced from ClawHub, Authored by ProjectSnowWork

Installation

Please help me install the skill `qclaw` from SkillHub official store. npx skills add ProjectSnowWork/qclaw

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