An AI-powered assistant skill designed to summarize WeChat conversations, triage unread messages, extract action items, and draft context-aware replies while ensuring privacy.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-summary
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install wechat-summary using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is WeChat Summary?
The WeChat Summary skill is designed for busy professionals, developers, and team members who need to stay on top of active WeChat conversations without being overwhelmed by notification volume. By analyzing WeChat chat exports, screenshots, or copied conversations, this skill filters out noisy social chatter and extracts the essential decisions, action items, and urgent requests.
Built to integrate seamlessly with Openclaw Skills, it offers privacy-centric processing that prevents sensitive details from leaking across group boundaries. Whether dealing with single-contact threads or chaotic multi-user group chats, the skill provides clean, digestible summaries and ready-to-send draft responses tailored to the context.
WeChat Summary Use Cases
- Catching up on missed group chat messages after being away.
- Extracting action items, ownership, and responsibilities from project-related WeChat threads.
- Triaging unread messages to decide which conversations require immediate responses versus which can wait.
- Quick-drafting contextual and polite replies to client queries or team discussions directly within your workflow.
How WeChat Summary Works
- Identify the Scope: The skill determines the input boundaries—such as a single message, recent unread logs, a full window, or an entire group thread.
- Categorize Content: Input data is classified into actionable items, pure information, social chatter, or urgent messages needing replies.
- Apply Summary Modes: Based on user requests, it generates either a Catch-up summary, an Action-item table, a Reply triage list, or a Draft reply.
- Maintain Privacy & Context: In group chats, it enforces a strict policy to avoid over-sharing private context or generating forced responses.
WeChat Summary Setup
To enable the WeChat Summary skill within your environment, install it via your terminal:
openclaw install skill wechat-summary
Configure your WeChat client integration or import exported logs. You can customize the default prompt behavior by editing your global configuration file:
openclaw config set skills.wechat-summary.mode active
WeChat Summary Data Schema & Taxonomy
The skill structures outputs based on the desired interaction mode to ensure consistent formatting:
| Summary Mode | Outputs Generated | Format / Structure |
|---|---|---|
| Catch-up Summary | High-level overview, key actors, decisions | 3-7 bullet points covering who said what |
| Action-item Summary | Clear ownership, task descriptions, and deadlines | Unordered list with owner, action, and due time |
| Reply Triage | Categorized urgency ranking | Listed under: Reply now, Can wait, No reply needed |
| Draft Reply | Sendable drafts with context rationale | Suggested reply draft with brief tactical justification |
WeChat Summary Advanced Features
- Tone Matching: Automatically adjusts draft response suggestions based on your relationship with the recipient and the conversation context.
- Low Confidence Warnings: Explicitly alerts users if the summary is based on incomplete message history, preventing incorrect assumptions.
- Strict Privacy Isolation: Group-chat policy restricts the AI from leaking context from other private threads or general agent memory.
- Selective Response Triage: Intelligently decides when not to reply to keep group conversations concise and avoid filler messages.
SKILL.md
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