intelligence-hooks

What problem does it solve?

This Skill provides a structured system for observing and recording events during AI command execution, enabling learning and self-healing capabilities.

Core Features & Use Cases

• Event Observation: Captures pre_command, post_command, mcp_call, decision_point, and error events.
• Structured Data Capture: Defines event schemas and annotation templates for consistent data logging.
• Learning & Improvement: Events are stored in intelligence.db to train AI models and identify patterns for self-healing.
• Use Case: When an AI command fails due to an API rate limit, an error event is logged with details about the failure, allowing the system to learn and implement backoff strategies for future calls.

Quick Start

Add the pre_command and post_command observation blocks to your plugin command files to start logging execution events.