Skill Document
A Skill Document is a structured, human-readable file (typically in markdown) that defines the capabilities, behaviors, and execution logic for an ai-agent. Unlike traditional model weights or opaque codebases, skill documents serve as explicit, editable interfaces for agent behavior, enabling transparency and easier maintenance.
Core Characteristics
- Human-Readable: Written in standard text formats, allowing developers to inspect and modify agent logic without specialized tools.
- Executable Context: Acts as a prompt or configuration layer that guides the underlying large-language-model (LLM) in specific tasks.
- Modular: Can be swapped or updated independently of the core model, facilitating rapid iteration on agent capabilities.
Evolution: SkillOpt
Recent developments by Microsoft Research have introduced SkillOpt, a strategy for self-evolving agent skills that leverages the skill document paradigm.
- Text-Based Training: SkillOpt treats the skill document as a trainable artifact. Instead of adjusting neural network weights directly, the system optimizes the text within the Markdown file to improve agent performance.
- Local Execution: The approach supports running agents locally, reducing dependency on cloud-based inference for skill updates.
- Self-Evolution: The system iteratively refines the skill document based on performance feedback, creating a loop where the “code” (text) evolves to better suit the task.
See also: SkillOpt: Microsoft’s Text-Based Evolution of AI Agent Skills