designing-context-injection-patterns

What problem does it solve?

This Skill addresses the challenge of effectively managing and injecting contextual information into AI agent prompts, ensuring agents have the right data at the right time without exceeding token limits.

Core Features & Use Cases

• Context Budgeting: Define and allocate token budgets for different context types (static, session, query).
• Source Management: Specify context sources, their content, retrieval methods, and freshness requirements.
• Workflow Optimization: Design structured workflows for context retrieval, ordering, and compression.
• Use Case: When building a customer support chatbot, use this Skill to design how user history, product catalog data, and real-time order status are injected into the agent's prompt to provide personalized and accurate assistance.

Quick Start

Design a context injection pattern for a customer support agent with a 8K token limit, prioritizing user profile and conversation history.