Can I adapt these templates for non-Treasure Data projects?

Absolutely. While the standards originated at Treasure Data, the architectural principles and documentation sections are applicable to any complex AI agent project.

Does this skill help with prompt engineering?

Yes, it provides structured templates and logical flow patterns for writing robust system prompts that define agent behavior and role responsibilities.

What is a Field Agent Documentation Standard?

It is a specialized framework designed to ensure all AI agents (Field Agents) are documented with consistent technical specs, prompts, and tool definitions for better maintainability.

Who is this documentation skill for?

It is primarily for AI architects, developers, and product owners who are building and deploying agentic workflows, particularly within the Treasure Data ecosystem.

Field Agent Documentation Standards

Name: Field Agent Documentation Standards
Author: treasure-data

bytreasure-data

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Aprendizaje y Documentación

Provides comprehensive templates and structural guidelines for documenting AI Field Agents and their technical specifications.

Acerca de

This skill establishes a professional framework for creating consistent, high-quality documentation for Field Agents. It guides developers through a standardized 13-section structure covering everything from basic metadata and team roles to complex system prompt logic, tool schemas, and technical parameters like model selection and temperature. By following these best practices, teams can ensure their agentic workflows are transparent, maintainable, and easy to integrate across different platforms and user interfaces.

Características Principales

Standardized 13-section documentation architecture for agents
Detailed guidance for tool naming conventions and function schemas
Professional templates for technical specifications and metadata
Model selection and parameter tuning guides for production reliability
Best practices for structured system prompt engineering
2 GitHub stars

Casos de Uso

Standardizing existing fragmented documentation across multiple agent projects
Defining clear interaction patterns and task flows for complex agentic systems
Generating professional documentation for newly developed AI agents

Acerca de

Características Principales

Standardized 13-section documentation architecture for agents
Detailed guidance for tool naming conventions and function schemas
Professional templates for technical specifications and metadata
Model selection and parameter tuning guides for production reliability
Best practices for structured system prompt engineering
2 GitHub stars

Casos de Uso

Standardizing existing fragmented documentation across multiple agent projects
Defining clear interaction patterns and task flows for complex agentic systems
Generating professional documentation for newly developed AI agents