agent-lifecycle-hooks

What problem does it solve?

This Skill addresses the need for robust monitoring and control over AI agent sessions, ensuring quality, managing resources, and enabling smooth transitions between different stages of an agent's workflow.

Core Features & Use Cases

• Session Management: Implement hooks for session start, turn boundaries, phase transitions, errors, and session end.
• Quality Assurance: Define and enforce quality gates at critical points to validate outputs.
• Resource Management: Monitor and manage token budgets to optimize performance and cost.
• Use Case: When developing a complex AI agent for product strategy, use these hooks to automatically validate each generated PRD section against predefined criteria before proceeding to the next phase, and to log any errors encountered during the process.

Quick Start

Use the agent-lifecycle-hooks skill to define quality gates for the turn end hook.