content-researcher for Openclaw

A powerful batch research tool that automates searching, collecting, and summarizing articles or news into structured material libraries.

utopiabenben
v1.0.0
Mar 15, 2026
0
850
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install content-researcher

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 content-researcher 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 content-researcher?

The content-researcher is a specialized utility within the Openclaw Skills ecosystem designed for creators and researchers who need to aggregate large volumes of information quickly. It automates the tedious process of manual web searching and reading by executing multi-keyword queries, deduplicating results based on URLs, and utilizing AI to generate concise summaries of every found source.

By integrating directly with core automation tools, this skill transforms raw web data into organized Markdown or JSON reports. It serves as an essential bridge between initial curiosity and final content production, ensuring that your knowledge base is always built on the latest industry trends and diverse perspectives without the manual overhead.

content-researcher Use Cases

  • Building self-media material libraries by batch searching niche topics.
  • Conducting rapid industry research to understand the latest dynamics of specific subjects.
  • Performing competitive analysis by monitoring competitor mentions and news coverage.
  • Tracking keyword trends to identify viral topics and emerging discussions.
  • Extracting core insights from large datasets to inspire creative writing and strategy.

How content-researcher Works

  1. The user inputs a comma-separated list of keywords and specifies search depth parameters.
  2. The skill triggers the claw tool to perform independent web searches for each keyword.
  3. Results are aggregated and automatically deduplicated based on their unique URLs to ensure content quality.
  4. If the summarize flag is enabled, the skill calls the summarize CLI to generate AI summaries for each entry using specified LLM models.
  5. A final structured report is compiled and exported in either Markdown or JSON format for further use.

content-researcher Setup

To get started with this component of Openclaw Skills, follow these steps:

# Install the content-researcher skill
./install.sh

# Ensure the summarize dependency is installed via clawhub
clawhub install summarize

content-researcher Data Schema & Taxonomy

The skill organizes research data into a structured schema that includes metadata and content details. The output typically contains:

Field Description
Title The headline of the discovered article or news item.
Source The domain or publisher name (e.g., techcrunch.com).
Link The direct URL to the original content.
Summary A brief snippet or AI-generated summary of the content.
Metadata Generation timestamp, keywords used, and total result count.

content-researcher Advanced Features

  • Multi-keyword Parallelism: Search multiple distinct topics in a single execution command.
  • Customizable Summary Models: Choose specific LLMs (e.g., Gemini 3 Flash) for generating content abstracts.
  • Flexible Output Formats: Seamlessly switch between Markdown for human reading and JSON for programmatic data pipelines.
  • Seamless Integration: Direct compatibility with social-publisher and omnipublisher for instant content distribution.

SKILL.md


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