Conversation Summary for Openclaw

An intelligent utility that condenses long conversation logs into concise, actionable summaries with support for incremental updates.

lyue82665-droid
v1.0.1
Feb 5, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install conversation-summary

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install conversation-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?

The Conversation Summary skill is a high-performance tool designed for Openclaw Skills to help developers and users manage information overload. It analyzes raw chat logs—formatted as JSON—and synthesizes the core points into a clear summary. This skill is particularly useful for maintaining context in long-running threads without exhausting token limits, as it supports passing an existing summary for incremental updates.

By integrating this skill, AI agents can provide quick recaps of past interactions, highlight key decisions, and ensure that users can stay informed without reading through hundreds of lines of dialogue. It represents a vital component for any sophisticated agent workflow within the Openclaw Skills ecosystem.

Conversation Summary Use Cases

  • Summarizing long customer support interactions for quick handovers.
  • Generating daily highlights from team collaboration or brainstorming sessions.
  • Managing long-term memory for AI agents by condensing older dialogue context.
  • Creating executive summaries of technical debugging sessions or research logs.

How Conversation Summary Works

  1. The AI agent identifies a request to summarize a conversation or a specific set of logs.
  2. The dialogue is structured into a standard JSON array containing role and content fields.
  3. The summarize_conversation tool is called, optionally including a previous summary for incremental processing.
  4. The tool communicates with a backend API to process the text and generate a condensed version.
  5. The skill returns a JSON response containing the success status and the newly generated summary text.

Conversation Summary Setup

To deploy this skill within your Openclaw Skills environment, ensure you have the necessary runtime dependencies:

# Verify python3 installation
python3 --version

# Install the required requests library
pip install requests

Place the skill folder in your agent's directory and ensure your API configuration is correctly set to handle the summary requests.

Conversation Summary Data Schema & Taxonomy

The skill utilizes a structured JSON format for input and output to ensure compatibility across different Openclaw Skills integrations.

Attribute Type Description
chat_list String A JSON-stringified array of message objects: [{"role": "...", "content": "..."}].
history_summary String Optional. An existing summary string used for incremental updates.
code Integer Status indicator where 0 signifies a successful operation.
data.summary String The resulting summarized text returned by the API.

Conversation Summary Advanced Features

  • Incremental Updates: Allows the agent to build upon existing summaries, saving processing time and maintaining continuity.
  • Structured Input Validation: Ensures chat logs are valid JSON before transmission to prevent API errors.
  • Comprehensive Error Handling: Provides clear status codes and messages if network or formatting issues occur.
  • Lightweight Integration: Uses standard Python libraries, making it easy to host and run within any Openclaw Skills compliant environment.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*