dada-conv-summary

What This Skill Does

The dada-conv-summary skill is a specialized OpenClaw agent utility designed to distill extensive conversation histories into concise, actionable summaries. By leveraging the underlying conversational context, this skill extracts key discussion points, user intents, and resolution statuses. It supports incremental updates, allowing the agent to maintain a coherent narrative thread even as sessions grow long, preventing the loss of historical context while optimizing performance.

Installation

To integrate this skill into your environment, run the following command within your terminal or OpenClaw interface:

clawhub install openclaw/skills/skills/dadaliu0121/dada-conv-summary

Ensure that your environment has network access enabled, as this skill relies on an external API endpoint to process the natural language data.

Use Cases

This skill is indispensable for professionals who manage long-running research or creative sessions where context is easily forgotten. It is ideal for:

• Meeting Recaps: Quickly summarizing lengthy brainstorming sessions to identify action items.
• Project Management: Reviewing the trajectory of a complex technical support ticket or a collaborative design conversation.
• Memory Management: Providing the agent with a compressed 'memory' of previous interactions, which is vital for long-term consistency in complex tasks.
• Documentation: Transforming unstructured chat threads into documented meeting minutes or summaries.

Example Prompts

1. "Can you give me a quick recap of what we have discussed regarding the project roadmap so far?"
2. "Summarize the key points from our conversation today so I can send an update to my team."
3. "We've been talking for a while—what is the current status of the plan we decided on earlier?"

Tips & Limitations

• Data Privacy: Because the chat history is sent to an external API (iautomark.sdm.qq.com), ensure that you do not include sensitive personal information or proprietary data in the conversation history.
• Incremental Updates: Always provide the previous summary string if one exists. If this is the start of a conversation, an empty string is perfectly fine and expected.
• Formatting: The chatList parameter requires a stringified JSON representation of the conversation. Failure to properly escape quotes within the nested JSON structure is the most common cause of execution errors. Double-check your character escaping if the skill fails to trigger.
• API Dependency: The accuracy and availability of the summary depend on the stability of the external endpoint. If the network is restricted, the skill will fail to retrieve the summary.