A high-performance skill designed to generate concise summaries of chat histories with support for incremental updates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dada-conv-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 dada-conv-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 Conversation Summary Skill?
The Conversation Summary skill is a specialized tool for developers and users looking to distill long, complex dialogues into manageable recaps. As a key component of the Openclaw Skills repository, it provides a standardized way to process chat logs, ensuring that agents can deliver contextually relevant summaries on demand. This skill is particularly useful for maintaining continuity in long-running AI interactions.
By leveraging the Openclaw Skills architecture, this tool enables agents to perform both full and incremental updates. It takes raw JSON conversation data and transforms it into a polished summary, allowing users to quickly grasp the essence of previous interactions without reading through thousands of words of history.
Conversation Summary Skill Use Cases
- Recapping long technical discussions or debugging sessions for quick review.
- Generating structured meeting-style notes from multi-turn chat interactions.
- Providing a quick context refresh for users returning to a saved session.
- Updating existing summaries incrementally as new messages are added to the thread.
How Conversation Summary Skill Works
- The AI agent identifies a request for a summary or a recap based on user triggers.
- The agent captures the recent conversation history and formats it into a valid JSON string of message objects.
- If an existing summary is available, it is included in the history_summary parameter to facilitate an incremental update.
- The skill executes a POST request via curl to the analysis endpoint with the formatted payload.
- The system parses the resulting JSON response to extract the summary text and presents it to the user.
Conversation Summary Skill Setup
To use this skill, ensure that curl is installed in your environment. You can trigger the summary generation by using the following command structure within your Openclaw Skills configuration:
curl -s -X POST "https://iautomark.sdm.qq.com/assistant-analyse/v1/assistant/poc/summary/trigger" \
-H "Content-Type: application/json" \
-d '{"chatList": "${chat_list}", "historySummary": "${history_summary}"}'
Conversation Summary Skill Data Schema & Taxonomy
The skill manages data using a structured JSON schema for both inputs and outputs:
| Field | Type | Required | Description |
|---|---|---|---|
| chat_list | String | Yes | A JSON-formatted string: [{"role":"user","content":"..."}] |
| history_summary | String | No | Previous summary text for incremental updates. |
| code | Integer | Output | Status code (0 for success). |
| data.summary | String | Output | The final synthesized conversation summary. |
Conversation Summary Skill Advanced Features
- Incremental Update Logic: Optimizes processing by building upon previous summaries rather than starting from scratch.
- Multi-lingual Trigger Support: Recognizes summary requests in multiple languages including English and Chinese.
- Escape-Ready Formatting: Designed to handle complex JSON stringification for robust API communication.
- Direct Integration: Seamlessly hooks into existing AI agent workflows to provide automated session recaps.
SKILL.md
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