Lite Research Skill for Openclaw

A high-efficiency research skill that leverages advanced search operators and multi-perspective query strategies to provide quick, comprehensive topic overviews.

chand1012
v1.0.0
Mar 18, 2026
0
864
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install lite-research

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 lite-research 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 Lite Research Skill?

The Lite Research skill is designed to bridge the gap between simple web searches and resource-heavy deep research. It empowers an AI agent to perform sophisticated information gathering without the overhead of spawning sub-agents. By utilizing search best practices—such as synonyms, Boolean operators, and regional variations—it ensures that the agent captures a well-rounded view of any given topic. This is an essential component of the Openclaw Skills ecosystem for users who need fast, reliable, and source-backed intelligence.

This skill focuses on efficiency by limiting total queries and prioritizing the top results. It is particularly effective for technical documentation, market trends, and general knowledge gathering where speed and accuracy are paramount. By integrating this into your workflow, you ensure your agent provides high-quality summaries with transparent source attribution.

Lite Research Skill Use Cases

  • Rapidly gathering overview information on a new technical concept or industry.
  • Identifying recent developments and trends for the years 2024 and 2025.
  • Comparing technical versus common terminology for better content accuracy.
  • Performing multi-perspective analysis on controversial or complex subjects.
  • Sourcing high-quality URLs and references for documentation or reports.

How Lite Research Skill Works

  1. Topic Analysis: The skill analyzes the user's request to identify core concepts, synonyms, and relevant timeframes.
  2. Strategic Query Generation: It creates between 2 to 5 targeted queries using OR operators, quotation marks, and alternative terminology.
  3. Search Execution: The skill runs web searches with a limit of 5 results per query to maintain high relevance.
  4. Data Fetching: It uses web fetch tools to extract and read content directly from the top-ranked sources.
  5. Synthesis: Findings are compiled into a structured summary covering definitions, trends, and challenges with full source transparency.

Lite Research Skill Setup

To enable the Lite Research skill within your environment, ensure your agent has access to web search and fetch tools. Add the skill definition to your configuration:

# Example of adding a skill to an Openclaw Skills compatible agent
openclaw install lite-research

Configure your API keys for search providers in your .env file to allow the skill to execute queries effectively.

Lite Research Skill Data Schema & Taxonomy

The Lite Research skill organizes information using a structured approach to ensure traceability and clarity.

Data Type Description Format
Search Queries Up to 5 optimized Boolean search strings List
Source Metadata Titles, URLs, and snippets of top 5 results Array
Content Analysis Extracted text from fetched web pages Markdown
Final Report Summary of findings with categorized sections Markdown
Citations Linked sources for every major claim Footnotes

Lite Research Skill Advanced Features

  • Boolean Strategy Engine: Automatically incorporates OR, AND, and exact phrase matching for higher precision.
  • Temporal Awareness: Automatically appends recent year constraints to find the most up-to-date information.
  • Linguistic Adaptation: Handles regional spelling differences and technical versus common nomenclature.
  • Zero-Sub-Agent Architecture: Operates directly through tool calls to minimize latency and token usage.
  • Multi-Angle Logic: Simultaneously queries for basics, recent trends, and critical challenges to provide a 360-degree view.

SKILL.md


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