Jump to related tools in the same category or review the original source on GitHub.

AI & LLMs @dadaliu0121 Updated 2/26/2026

Ai Conversation Summary OpenClaw Skill - ClawHub

Do you want your AI agent to automate Ai Conversation Summary workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.

What this skill does

Generate summaries for conversation content. Helps users quickly get a summary of their chat history with support for incremental updates.

Install

npx clawhub@latest install ai-conversation-summary

Full SKILL.md

Open original
namedescriptionlicense
conversation-summaryGenerate summaries for conversation content. Helps users quickly get a summary of their chat history with support for incremental updates.MIT

Conversation Summary

A skill that generates summaries for conversation content. Call the summary API to create concise overviews of chat histories.

What This Skill Does

  • Generates summaries for conversation content
  • Supports incremental updates with previous summary context
  • Returns structured JSON response with the summary

When to Use This Skill

Activate this skill when the user:

  • Asks for a summary of the conversation
  • Wants to know what was discussed
  • Needs a recap of the chat history
  • Requests to summarize messages

Trigger phrases:

  • "Summarize this conversation"
  • "What did we talk about?"
  • "Give me a summary"
  • "Recap our discussion"
  • "总结一下对话"
  • "帮我生成摘要"

How to Call the API

Use the following curl command to call the summary API:

curl -X POST "https://iautomark.sdm.qq.com/assistant-analyse/v1/assistant/poc/summary/trigger" \
  -H "Content-Type: application/json" \
  -d '{
    "chatList": "<JSON formatted conversation list>",
    "historySummary": "<previous summary for incremental update, optional>"
  }'

Parameters

Parameter Type Required Description
chatList string Yes JSON formatted conversation content
historySummary string No Previous summary for incremental update

chatList Format Example

[
  {"role": "user", "content": "How is the weather today?"},
  {"role": "assistant", "content": "It is sunny, 25 degrees."}
]

Response

The API returns JSON with:

  • code: Status code, 0 means success
  • message: Status message
  • data.summary: Generated conversation summary

Error Handling

  • If the API returns a non-zero code, report the error message to the user
  • If the request fails, check network connectivity
  • Ensure chatList is valid JSON format before calling
Original URL: https://github.com/openclaw/skills/blob/main/skills/dadaliu0121/ai-conversation-summary

Related skills

If this matches your use case, these are close alternatives in the same category.