What is the agent-prompt skill?

It is a specialized guide for Claude Code that provides standardized templates and best practices for writing system prompts that govern AI agent behavior.

Can I use these patterns for non-Treasure Data agents?

While the examples often reference Treasure Data tools, the core architectural principles—such as defining roles and handling edge cases—are applicable to any AI agent development.

Are there specific examples for data operations?

Yes, the skill includes patterns for SQL assistants, including safety constraints for read-only modes and mandatory tool usage for schema verification.

How does this skill improve agent reliability?

It utilizes a structured framework focusing on explicit constraints, role-based definitions, and mandatory step-by-step workflows to reduce hallucinations and ensure consistency.

AI Agent Prompt Patterns

Name: AI Agent Prompt Patterns
Author: treasure-data

bytreasure-data

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Data Science & ML

Provides structured patterns and best practices for crafting reliable system prompts for AI agents.

About

This skill equips Claude with specialized frameworks and implementation patterns for building high-performing AI agents. It provides granular guidance on defining explicit roles, setting rigid constraints, outlining step-by-step workflows, and standardizing output formats to ensure agent reliability and consistent behavior. By following these Treasure Data-aligned patterns, users can create agents that handle complex tasks—like SQL generation or customer support—while minimizing hallucinations and ensuring secure tool usage.

Key Features

Explicit constraint definition strategies to prevent unauthorized actions
Multi-step process orchestration for complex agent logic
Standardized prompt structure templates (Role, Constraints, Workflow, Output)
Identification of common prompting anti-patterns
Tool usage instructions and safety guardrails
6 GitHub stars

Use Cases

Building specialized domain-expert agents that cite specific documentation sources
Creating a customer support agent with identity verification and CRM integration steps
Designing a SQL Query Assistant with strict read-only constraints and time-range filters

About

Key Features

Explicit constraint definition strategies to prevent unauthorized actions
Multi-step process orchestration for complex agent logic
Standardized prompt structure templates (Role, Constraints, Workflow, Output)
Identification of common prompting anti-patterns
Tool usage instructions and safety guardrails
6 GitHub stars

Use Cases

Building specialized domain-expert agents that cite specific documentation sources
Creating a customer support agent with identity verification and CRM integration steps
Designing a SQL Query Assistant with strict read-only constraints and time-range filters