What problem does it solve?
Automates the end-to-end lifecycle of discovering, creating, executing, and refining other skills. It reduces manual effort by autonomously locating suitable skills, generating new ones when needed, executing tasks, and using empirical feedback to improve performance. It also handles feedback on skill-generated outputs by linking outputs to the responsible skill for future iterations.
Core Features & Use Cases
- Skill discovery and reuse: searches internal, GitHub-based, and web-sourced skills to handle tasks.
- Automated skill creation and execution: creates new skills if none exist, then executes them to complete user tasks.
- Empirical review and improvement: compares execution results to instructions, and improves skills based on real usage.
- Feedback handling: fixes outputs and routes improvements back to the originating skill.
Quick Start
Ask Skill Master to discover an existing skill, create one if needed, execute it, and review the results.