aim-parzival-constraints

Behavioral constraints are loaded into an AI session by running Python scripts that read predefined rule files from a specified directory, injecting them directly into the active context to enforce specific operational guidelines.

An AI agent deviates when behavioral constraints are not actively loaded. Invoking a constraint loading script re-applies the core project rules, guiding the agent back to its intended operational parameters.

To maintain session consistency, load predefined behavioral constraints into the AI's active context. This ensures the agent maintains its intended persona and operational boundaries throughout the entire active session.

Yes, you need Python to apply these behavioral rules, as the Skill relies on Python scripts to locate and read the constraint files from the directory and load them into the active context.

You should re-apply behavioral constraints when starting a new session or if the AI agent's behavior seems off, which resets the operational parameters and prevents further deviations from project guidelines.