Ra Pro is an advanced deep research intelligence skill for AI agents that conducts extensive web-based investigations across up to 20 authoritative sources to compile multi-angle competitive analyses and formal reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ra-pro
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-pro 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 Pro -- Deep Research Intelligence?
Ra Pro is an industry-grade analytical engine designed to empower autonomous agents with extensive background intelligence collection capabilities. As one of the most powerful research-focused Openclaw Skills, Ra Pro orchestrates multi-source web scraping, authoritative source verification, and structured report synthesis. It enables AI agents to bypass superficial search constraints and dive deep into technical, academic, or market topics.
By utilizing customizable parameters, researchers can fine-tune output characteristics to produce objective executive briefs or combative critical counter-positions. This technical capability ensures that teams running Openclaw Skills get professional, publication-ready research artifacts instead of surface-level summaries.
Ra Pro -- Deep Research Intelligence Use Cases
- Conducting deep market intelligence and competitive breakdowns of direct business competitors.
- Preparing comprehensive literature reviews and technological deep-dives for R&D teams using Openclaw Skills.
- Generating executive briefs and structured strategic recommendations for busy leadership squads.
- Creating objective, multi-angle analytical briefs that explore both supporting arguments and critical viewpoints.
How Ra Pro -- Deep Research Intelligence Works
- Configuration & Licensing Validation: The Python script reads the LICENSE_KEY and initialization variables like RESEARCH_TOPIC and DEPTH.
- Environment Analysis: The system selects the appropriate number of search queries and sources (up to 20 for exhaustive depth).
- Multi-Source Synthesis: The AI agent queries, reads, and processes authoritative sources to construct a unified viewpoint.
- Dynamic Section Assembly: The engine formats reports with sections such as Executive Brief, Core Findings, Opposing Viewpoints, and Competitive Analysis based on environmental variables.
- Citations & Bibliography Structuring: The agent organizes compiled sources into APA, MLA, Chicago, or standard bibliography format.
- Local Output Generation: Reports are saved locally as high-quality Markdown, ready for seamless DOCX export.
Ra Pro -- Deep Research Intelligence Setup
First, ensure that python3 and pip3 are installed on your host system.
Install the required visualization dependency:
pip3 install rich --break-system-packages --quiet
Set the appropriate environment variables in your run environment:
export LICENSE_KEY="RA-PRO-YOUR-KEY-HERE"
export RESEARCH_TOPIC="Next-generation Solid State Battery Tech"
export DEPTH="deep"
export ANGLE="balanced"
export COMPETITIVE="yes"
export CITATION_STYLE="apa"
Then run the agent skill to orchestrate the intelligence gathering process.
Ra Pro -- Deep Research Intelligence Data Schema & Taxonomy
The Ra Pro skill relies on a simple input metadata configuration and outputs structured Markdown files.
Inputs (Environment Variables)
| Variable | Required | Default | Description |
|---|---|---|---|
LICENSE_KEY |
Yes | - | Valid license key purchased from Ko-fi |
RESEARCH_TOPIC |
Yes | - | The query or subject matter to investigate |
DEPTH |
No | deep |
Depth level: standard (10 sources), deep (14 sources), or exhaustive (20 sources) |
ANGLE |
No | balanced |
Viewpoint: balanced, supporting, or critical |
COMPETITIVE |
No | no |
Whether to append competitive and market intelligence matrix: yes, no |
CITATION_STYLE |
No | bibliography |
Style of citations: bibliography, apa, mla, chicago |
OUTPUT_FILE |
No | ra_pro_[topic]_[date] |
Base name of generated Markdown reports |
Generated Outputs
The skill creates a structured markdown document based on the OUTPUT_FILE configuration, featuring:
- Executive Summary: 5-6 sentence strategic breakdown.
- Deep Landscape Analysis: Overview of key players, market context, or historic breakthroughs.
- Synthesized Findings: Structured breakdown of 5+ key discoveries containing technical statistics and citations.
- References: Formatted citation list adhering to the user-specified citation engine.
Ra Pro -- Deep Research Intelligence Advanced Features
- Dynamic Research Depth: Adjust source counts dynamically (10 to 20 sources) based on operational time and budget constraints.
- Multi-Angle Viewpoints: Configure the analytical tone (critical, supporting, balanced) to discover biases or unearth blind spots in existing reports.
- Flexible Citations Engine: Native support for academic and professional bibliography standards including APA, MLA, and Chicago format.
- Automated Competitor Matrix: Integrated market positioning framework for business investigations when the competitive flag is activated.
- Downstream Export Ecosystem: Output format is highly structured, allowing other Openclaw Skills to directly convert the final Markdown into DOCX templates.
SKILL.md
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