An AI-powered research assistant skill that instantly searches the web and synthesizes a structured, three-source research brief on any topic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ra-lite
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 ra-lite 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 Ra Lite?
Ra Lite is a lightweight, AI-driven research assistant designed to automate the process of web synthesis and literature searching. By simply specifying a research topic, this skill commands your AI agent to hunt down three highly authoritative, recent web sources, compile key takeaways, and outline analytical insights inside a clean, structured brief. As one of the core productivity-focused Openclaw Skills, it helps developers, analysts, and content creators bypass the tedious manual step of preliminary research.
Built to work seamlessly inside terminal environments, Ra Lite leverages Python-based visual status panels and rich console formatting to guide you through the execution steps. It serves as an accessible entry point to autonomous intelligence, providing immediate value without the overhead of heavy research pipelines.
Ra Lite Use Cases
- Quick Topic Onboarding: Instantly familiarize yourself with a new software library, industry trend, or framework before writing code or documentation.
- Content & Technical Writing: Generate structured background briefs with authoritative citations for blog posts, technical documentation, or whitepapers.
- Fact-Checking & Market Tracking: Validate recent events, software release details, or industry shifts using 3 real-time web sources.
How Ra Lite Works
- Environment Verification: The skill reads the
RESEARCH_TOPICenvironment variable and validates its existence via a Python-based Rich CLI panel. - Web Crawling & Search: The underlying AI agent executes web queries to identify three fresh, highly authoritative, and relevant sources.
- Brief Generation: The agent synthesizes the findings into a markdown-formatted brief containing an executive summary, core key findings, analytical takeaways, and cited reference links.
- Console Rendering: Output is rendered directly in the terminal, complete with visual separators and formatting to ensure readability.
Ra Lite Setup
Ensure you have python3 and pip3 installed, then configure the environment variable and install the terminal UI formatting library:
pip3 install rich --break-system-packages --quiet
export RESEARCH_TOPIC="impact of AI on software jobs 2025"
Ra Lite Data Schema & Taxonomy
Input Specifications
| Variable | Type | Required | Description |
|---|---|---|---|
RESEARCH_TOPIC |
String | Yes | The target query, question, or technology domain to research. |
Output Format
Ra Lite organizes synthesized research directly into a structured Markdown document with the following schema:
- Header:
# Research Brief: [TOPIC] - Executive Summary: A concise 2-3 sentence overview summarizing the core findings.
- Key Findings: Bullet points outlining specific facts, each paired with an inline source citation.
- What This Means: A 1-2 paragraph analytical section describing downstream implications.
- Sources: A numbered list of the 3 validated references featuring standard
[Title](URL)formatting and a brief description.
Ra Lite Advanced Features
- Interactive CLI Output: Utilizes the Python
richlibrary to present beautiful console statuses, visual borders, and execution logs inside your terminal workflow. - Multi-Tier Upgrades: Seamlessly scale up your AI research strategy with effortless transitions to higher tiers—such as Ra Standard (8-10 sources, saving directly to
.mdfiles) and Ra Pro (12+ sources, multi-angle analysis, APA/MLA bib styling, and.docxexports). - Agentic Extensibility: Ready-to-use within Openclaw Skills ecosystem for chaining together search workflows, automated documentation generation, and developer workspace synthesis.
SKILL.md
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