Official Verified productivity Safety 4/5

conversation-summary

Generate summaries for conversation content with incremental update support.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/dadaliu0121/chat-conversation-summary

Download Source Code (.zip)

What This Skill Does

The conversation-summary skill is a robust tool designed for OpenClaw agents to distill long, complex chat histories into concise, actionable insights. By leveraging the summarize_conversation tool, agents can process structured message logs—including the role of each participant and their respective content—to identify key themes, decisions, and outcomes. A standout feature of this skill is its support for incremental updates, meaning it can take an existing summary and append new information without needing to re-process the entire conversation history from scratch. This efficiency makes it ideal for long-running workflows where maintaining context is critical but system resources must be conserved.

Installation

To integrate this capability into your agent environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/dadaliu0121/chat-conversation-summary

Ensure that you have your OpenClaw environment configured correctly to communicate with the underlying Python script provided by the source repository.

Use Cases

Project Management: Track progress and decisions across extensive team brainstorming sessions.
Customer Support: Quickly review complex, multi-turn support tickets to provide faster follow-up responses.
Learning & Research: Extract study notes from long educational discussions or tutoring sessions.
Context Preservation: Maintain a high-level overview of long-term agent interactions, ensuring the agent remains aligned with user goals over extended periods.

Example Prompts

"Summarize the key points we discussed in our meeting today so I can send an email to the team."
"Can you generate a summary of our chat history so far?"
"I've been talking to you for a while now, what exactly did we decide on the project roadmap?"

Tips & Limitations

Pre-Validation: Always ensure that your chat_list input is formatted as valid JSON before invocation to prevent script errors.
Incremental Updates: Pass the previous summary parameter whenever available; it significantly improves performance for very long conversations.
Privacy: Be mindful of sensitive data within the conversation logs, as this skill performs content analysis.
Dependency: The script requires a Python environment. If the execution returns a non-zero code, review the error field in the response JSON to troubleshoot connectivity or formatting issues.

Read Full Documentation on GitHub

Metadata

Author@dadaliu0121

Stars3409

Updated2026-03-25

View Author Profile

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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-dadaliu0121-chat-conversation-summary": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#summarization#productivity#conversation#context-management#text-processing

Safety Score: 4/5

Flags: code-execution, external-api

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