A high-performance AI tool that distills any URL or text into concise summaries or bulleted takeaways using the Kagi Universal Summarizer API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kagi-summarizer
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 kagi-summarizer 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 Kagi Summarizer?
The Kagi Summarizer is a sophisticated utility within the Openclaw Skills ecosystem that allows developers and researchers to instantly condense massive amounts of information. By interfacing with Kagi's Universal Summarizer API, it can process everything from academic papers and PDFs to video transcripts and forum threads. This skill is built as a fast Go binary with zero runtime dependencies, ensuring rapid startup and reliable performance across different environments.
Whether you need a friendly, fast summary or a formal, technical analysis, this entry in the Openclaw Skills catalog provides the flexibility required for modern information workflows. It supports multiple summarization engines, including the enterprise-grade Muriel model, and can translate the final output into 28 different languages, making it an essential tool for global content consumption.
Kagi Summarizer Use Cases
- Rapidly distilling long-form research papers and technical documentation into high-quality summaries.
- Extracting structured bullet-point takeaways from meeting transcripts or long forum discussions.
- Translating foreign language articles into your preferred language during the summarization process.
- Automating the processing of large document sets by piping text directly into the CLI.
- Integrating high-quality AI summarization into larger developer pipelines using JSON output.
How Kagi Summarizer Works
- The user provides a URL or text block to the skill via the command line or standard input.
- The skill authenticates with the Kagi Universal Summarizer API using a pre-configured API key.
- The user specifies the desired engine, such as Cecil for speed or Muriel for enterprise-grade depth.
- The API processes the content, optionally applying translation or formatting the output into takeaways.
- The skill outputs the summary to stdout, while simultaneously providing metadata like token usage and API balance via stderr.
Kagi Summarizer Setup
To integrate this into your Openclaw Skills workflow, follow these steps to configure your environment and install the binary:
- Obtain a Kagi API token from the Kagi API portal.
- Add the token to your shell profile:
export KAGI_API_KEY="your-api-key-here"
- Download and install the pre-built binary for your system:
OS=$(uname -s | tr '[:upper:]' '[:lower:]')
ARCH=$(uname -m)
# Define binary path and download
mkdir -p .bin
curl -fsSL "https://github.com/joelazar/kagi-skills/releases/latest/download/kagi-summarizer" -o .bin/kagi-summarizer
chmod +x .bin/kagi-summarizer
Kagi Summarizer Data Schema & Taxonomy
This Openclaw Skills component handles data through a structured input/output model. When using the --json flag, the skill returns a schema including the following fields:
| Property | Type | Description |
|---|---|---|
input |
String | The source URL or text processed |
output |
String | The resulting summary or bullet points |
tokens |
Integer | The number of tokens consumed by the request |
engine |
String | The model used (cecil, agnes, or muriel) |
meta |
Object | Includes API balance, processing time, and node ID |
Kagi Summarizer Advanced Features
- Support for the enterprise-grade Muriel engine for the highest quality technical summaries.
- Real-time translation to 28 languages, including Japanese, Chinese, German, and French.
- Bulleted takeaway mode specifically optimized for research and meeting notes.
- JSON output mode for seamless integration with other automation tools in the Openclaw Skills library.
- Built-in caching mechanisms to avoid unnecessary API costs on repeated requests.
SKILL.md
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