query-agent

Automate CrewAI agent creation for PostgreSQL data querying tasks.

1|Updated Mar 28, 2026

Search Tags:#ai #agents #query #crewai #postgres

Ready to run

npx skills add https://github.com/Nelkit/sydney-liveability-ai --skill query-agent-nelkit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: query-agent
Source: https://github.com/Nelkit/sydney-liveability-ai/tree/main/.copilot/skills/query-agent
Command: npx skills add https://github.com/Nelkit/sydney-liveability-ai --skill query-agent-nelkit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The query-agent Skill automates the creation and management of CrewAI agents used for specific data querying tasks within the Sydney Liveability AI project.

Core Features & Use Cases

Agent Creation: Generates agents that interact with PostgreSQL databases and execute tasks based on input data.
Refactoring: Streamlines existing agents to fit project conventions.
Testable Isolation: Enables standalone testing of agent functionality for greater reliability.

Quick Start

Use the query-agent skill to implement backend/agents/query/crime.py from bocsar table.

Frequently Asked Questions about query-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build CrewAI agents to query a PostgreSQL database?▼

You can build CrewAI agents for PostgreSQL database querying by automating agent creation and task execution. This skill generates agents that interact with your database and execute tasks based on structured input data.

Can I test CrewAI agents in isolation from the main application?▼

Yes, you can test CrewAI agents in isolation. The skill enables standalone testing of agent functionality, allowing you to verify database interactions and task execution independently before integrating them into the broader Sydney Liveability project.

How do I refactor existing CrewAI agents to follow project conventions?▼

To refactor existing CrewAI agents, the skill streamlines your current agents to fit project-specific code standards. It ensures compliance with defined data structures and conventions required by the Sydney Liveability AI project.

Does the query-agent skill support querying the BOCSAR database table?▼

Yes, the skill supports querying the BOCSAR database table. You can use it to implement backend agent modules that execute data querying tasks directly from PostgreSQL tables like BOCSAR.

What do I need to automate CrewAI agent creation for data querying?▼

To automate CrewAI agent creation, you need a PostgreSQL database and structured input data. The skill uses defined data structures and requires compliance with project-specific code standards to generate functional querying agents.

Why should I use an automated approach for building CrewAI agents?▼

Automating CrewAI agent creation provides reliable database querying and testable isolation. It standardizes agent construction to fit project conventions, ensuring consistent interactions with PostgreSQL databases and streamlined task execution.