pm-organization-scale-adaptive

Scale planning depth by reading prd.json and prd_backlog.json to compute remaining task counts and complexity, automatically configuring the optimal planning scale and process rules for your session.

Adjust agent coordination during session initialization, retrospectives, and PRD changes to dynamically match process depth with the evolving backlog size, keeping multi-agent coordination efficient as scale shifts.

Right-sizing planning depth means matching planning overhead to PRD complexity, reducing structure on small projects and increasing coordination rules for large ones by analyzing remaining tasks in the backlog.

Yes, you can reduce planning overhead on small projects by applying automatic scale detection that evaluates remaining tasks and dynamically adjusts process depth to prevent unnecessary coordination structure.

Provide your prd.json and prd_backlog.json context files so the system can evaluate remaining task counts, compute complexity, and configure the appropriate planning scale and associated process rules.

Yes, agent behavior changes dynamically as the PRD backlog evolves, applying scale detection across sessions and retrospectives to guide agent coordination and skill updates based on current task counts.