SKILL.md
Definition
A Skill in the context of autonomous AI agents is a modular, executable capability that allows an agent to perform specific tasks, interact with external tools, or process information in a structured manner. Skills extend the base reasoning capabilities of a Large Language Model (LLM) by providing defined interfaces for action and memory.
Key Characteristics
- Modularity: Skills are discrete units that can be added, removed, or updated without retraining the core model.
- Autonomy: Agents can dynamically select and execute skills based on user intent or environmental cues.
- Persistence: Learned skills can be stored in vector databases or file systems for long-term memory retention.
- Robust Long-Running Execution: Effective autonomous execution requires distinguishing between mere prolonged reasoning and reliable, sustained work over extended periods. This involves a seven-component harness to ensure stability and reliability during long-duration tasks Building Robust, Long-Running AI Agents with a Seven-Component Harness.