A specialized tool for generating concise summaries and incremental updates for conversation logs within AI agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install conversation-summary-api
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 conversation-summary-api 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?
The Conversation Summary skill is a powerful utility designed to condense lengthy chat histories into digestible recaps. By integrating this skill into Openclaw Skills, developers can enable agents to maintain context efficiently without overwhelming the user. It utilizes an incremental update mechanism, allowing the agent to build upon previous summaries rather than reprocessing the entire history every time.
This skill is particularly valuable for long-running sessions where users may need a quick refresher on what was discussed or what decisions were made. It simplifies the process of context management for AI agents, ensuring that the most relevant information is always front and center while optimizing for both human readability and system performance within the Openclaw Skills ecosystem.
Conversation Summary Use Cases
- Providing a quick recap for users returning to a long conversation.
- Extracting key decisions and action items from a technical discussion.
- Managing long-term context by generating incremental summaries of chat logs.
- Answering user prompts like "what did we talk about?" or "summarize our session."
How Conversation Summary Works
- The AI agent detects a trigger phrase or a manual request for a summary.
- The system collects the recent chat history and formats it into a JSON-compliant string.
- If a previous summary is available, it is passed as a parameter to enable an incremental update.
- A POST request is sent to the summary analysis endpoint containing the chat list and historical context.
- The skill parses the JSON response to extract the generated summary text.
- The final summary is presented to the user or stored for future context references.
Conversation Summary Setup
To use this skill within your Openclaw Skills environment, ensure that curl is installed on your system. No complex installation is required as it leverages a cloud-based API endpoint.
# Verify that curl is installed
curl --version
The skill requires the agent to be configured to hit the summary trigger endpoint with properly escaped JSON payloads.
Conversation Summary Data Schema & Taxonomy
The skill expects a specific data structure to process summaries correctly. The following table describes the core schema components:
| Parameter | Type | Required | Description |
|---|---|---|---|
| chat_list | String | Yes | A JSON-formatted string of message objects (role/content). |
| history_summary | String | No | The text of the previous summary for delta updates. |
| summary | String | Output | The resulting condensed text returned by the API. |
| code | Integer | Output | Status code (0 for success). |
Conversation Summary Advanced Features
- Incremental Processing: Ability to update existing summaries with new chat segments to save processing time.
- Multi-lingual Support: Capable of summarizing conversations in various languages including English and Chinese.
- Standardized JSON Output: Returns data in a consistent format for easy integration into other Openclaw Skills tools.
- Error Handling: Provides detailed error messages in the response payload for troubleshooting failed requests.
SKILL.md
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