andara-rag-search

What This Skill Does

The andara-rag-search skill is a specialized interface designed for OpenClaw agents to interact directly with the Andara Ionic knowledge ecosystem. By leveraging PostgreSQL as the query engine, this skill provides real-time access to a vast repository of structured and unstructured business intelligence, including RAG chunks, internal team rosters, scientific research, and commerce-related data. It transforms the agent from a general assistant into an expert on Andara-specific operations, enabling instant retrieval of project details, meeting outcomes, and strategic goals.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/atiati82/andara-rag-search

Ensure that your environment variable $DATABASE_URL is correctly configured to point to your PostgreSQL instance, as this skill relies on the secure execution of SQL commands within the shell environment.

Use Cases

This skill is indispensable for professionals needing to bridge the gap between abstract research and actionable business data. Use it to:

• Analyze team performance by querying the team_meetings and meeting_action_items tables.
• Perform deep-dive research into Andara's scientific domain using the knowledge_base and science_articles tables.
• Manage sales operations by extracting revenue data, customer lists, and current product pricing.
• Sync team alignment by retrieving current organizational objectives from team_goals.
• Curate web content by querying CMS pages and topic clusters to maintain consistent messaging.

Example Prompts

1. "Search the knowledge base for any information regarding the latest bioelectricity research updates and summarize the key findings for me."
2. "List all active team members in the Engineering department and display their current equity percentages."
3. "Summarize the action items assigned to Sarah for the upcoming week based on our recent team meetings."

Tips & Limitations

• The skill uses ILIKE for case-insensitive matching; use wildcard symbols % strategically to improve result breadth.
• Limit your query results (e.g., LIMIT 5) to ensure the agent receives concise, digestible context without overwhelming its memory window.
• Always verify sensitive information like equity or financial data against formal reports, as this tool provides a raw database interface.