v-evolve

Automated workflow creation for novel tasks is handled by an evolution engine that detects capability gaps and generates new agents or skills to fill them. It automatically scaffolds the missing capabilities without requiring manual reprogramming.

You can automatically generate new agents by triggering the self-improvement engine to create new skill scaffolds. It detects when current capabilities are insufficient and automatically scaffolds new agents at the designated directories to integrate the missing functionality.

The evolution process logs changes by documenting updates in an evolution log and modifying related prompts. This ensures continuous self-improvement is tracked and new capabilities are integrated transparently into the existing workflow.

You need a well-formed SKILL.md frontmatter containing a name and description to trigger automated capability growth. This documented evolution process provides the necessary structure for the engine to log changes and integrate new methods.

The best way to scale automation workflows lacking current capability fit is using a self-improvement engine. It activates across repeating tasks, automatically generating novel tools and methods to ensure emerging tasks are tackled without manual intervention.

You should avoid using a self-improvement engine for tasks that do not repeat or lack a clear capability gap. It is designed for complex automation challenges requiring novel tools, rather than simple, static workflows that current capabilities already handle.