An advanced AI-driven market intelligence engine that automates multi-source data collection and generates comprehensive 15-chapter professional research reports in PDF format.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reportgama2
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 reportgama2 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 Report-gama?
Report-gama is a sophisticated market intelligence tool designed for global business expansion. It specializes in deep-dive research for specific country-category pairs, integrating 13 distinct information modules including multilingual search, news monitoring, competitor analysis, and customs data. By leveraging Openclaw Skills, it automates the tedious process of gathering fragmented international data and synthesizing it into actionable business intelligence.
The system is particularly powerful for industries like medical devices, where it can track regulatory registrations (Roszdravnadzor), government tenders, and pricing benchmarks across platforms like Ozon, Wildberries, and Kaspi. It provides a granular view of market volume (TAM/SAM/SOM), advertising trends, and supply chain movements, making it an essential asset for country managers and SEO specialists looking to dominate foreign markets.
Report-gama Use Cases
- Creating deep-dive market entry reports for specific countries like Russia, Kazakhstan, or Germany.
- Monitoring competitor pricing and sales volume across international e-commerce platforms.
- Tracking industry-specific regulatory changes and government tender announcements in real-time.
- Analyzing customs import/export trends and HS code data for supply chain optimization.
- Generating professional PDF presentations for stakeholders with automated charts and data matrices.
How Report-gama Works
- Requirement Analysis: The agent parses user intent to identify the target country, category, language, and research depth.
- Concurrent Data Collection: The system triggers 13 modules simultaneously, including Yandex/Google search, e-commerce scrapers, and customs databases.
- Data Cleaning & Structuring: Raw information is deduplicated, quality-graded (High/Medium/Low confidence), and converted into structured tables.
- Insight Synthesis: An AI engine analyzes the structured data to identify trends, competitive advantages, and market risks.
- Report Generation: The system compiles a 15-chapter Markdown report, generates visualizations using Matplotlib, and exports a final professional PDF.
Report-gama Setup
To deploy this skill within the Openclaw Skills ecosystem, ensure you have Python 3 and Pip installed, then run the following commands:
# Install required Python dependencies
pip3 install requests beautifulsoup4 lxml fake-useragent python-dateutil matplotlib reportlab pillow
# Run a standard market research report for a specific category
python3 scripts/master.py --country Russia --category "Glucose Meters" --lang ru --pdf
Report-gama Data Schema & Taxonomy
The skill organizes research data into a hierarchical structure for maximum scannability:
| Data Component | Source Type | Details |
|---|---|---|
| Market News | Regulatory/News APIs | 30-day industry timeline and policy updates |
| Competitor Matrix | Web/E-commerce | Brand shares, product lines, and pricing box plots |
| Customs Data | UN Comtrade/Customs | Import/Export volumes, trends, and average unit price |
| Social Intelligence | TGStat/VK | Public sentiment from Telegram and VKontakte groups |
| Tenders & Regs | Gov Portals | Historical bid prices and registration certificate status |
All generated reports are saved as .md and .pdf files in the output directory.
Report-gama Advanced Features
- Multi-agent concurrent execution for rapid data harvesting across 13 modules.
- Automated HS Code mapping for precise customs and trade data retrieval.
- Intelligent data confidence grading with visual indicators (Red/Yellow/Green) for source reliability.
- Cross-validation logic that compares data points from at least two independent sources to ensure accuracy.
- Customizable report depth levels ranging from Quick (10 mins) to Deep Research (60 mins).
SKILL.md
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