Extending Agent Capabilities via Modular Skills
The core paradigm of modular extensibility allows the generic Large Language Model (LLM) to transform into a domain-specific expert using a strict 2-file architecture: SKILL.md and tools.py script execution.
Autonomous Generation
Hermes agents can write their own functional skills and integrate them on-the-fly, creating automated pipelines directly linked to active content syndication queues.
