AI Agent Prompt Patterns
Provides structured patterns and best practices for crafting reliable system prompts for AI agents.
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.
Características Principales
01Explicit constraint definition strategies to prevent unauthorized actions
02Multi-step process orchestration for complex agent logic
03Standardized prompt structure templates (Role, Constraints, Workflow, Output)
04Identification of common prompting anti-patterns
05Tool usage instructions and safety guardrails
066 GitHub stars
Casos de Uso
01Building specialized domain-expert agents that cite specific documentation sources
02Creating a customer support agent with identity verification and CRM integration steps
03Designing a SQL Query Assistant with strict read-only constraints and time-range filters