sqlite-agent-context

What problem does it solve?

This Skill empowers AI agents to understand their own operational environment, capabilities, and limitations (like token budgets) across different LLM platforms. It ensures agents operate efficiently and format responses optimally, preventing errors and maximizing performance.

Core Features & Use Cases

• Agent Detection: Automatically identify the current agent type (e.g., Claude, GPT-4) and its version.
• Capability Discovery: Get detailed information on agent capabilities such as tool use, vision, and code execution.
• Token Budget Management: Calculate remaining token budget for conversations, enabling proactive context optimization.
• Optimal Response Formatting: Format agent outputs (text, code, data, error) to best suit the specific LLM platform.
• Use Case: Develop an agent that dynamically adjusts its behavior and response style based on whether it's running on Claude 3.5 Sonnet (with vision) or GPT-4 (with advanced reasoning), ensuring it always leverages the platform's strengths.

Quick Start

Use the sqlite-agent-context skill to detect the current agent's type and capabilities, then retrieve its maximum token limit and recommended practices for optimal interaction.