skvm-general

What problem does it solve?

It helps you efficiently use the SkVM toolchain to evaluate model capabilities, compile LLM skills ahead-of-time, and run or benchmark those skills without manually managing the workflow.

Core Features & Use Cases

• Model profiling & caching: Profiles target models into a capability profile and reuses cached results to reduce repeated work.
• AOT compilation & pipeline execution: Performs multi-pass AOT compilation to generate compiled skill variants suitable for a specific target model.
• Run & benchmark workflows: Runs single ad-hoc tasks with a given skill and runs broader benchmarks to compare conditions such as original vs compiled variants, including jit proposal management.

Quick Start

Ask the AI: “Profile model <id>, then AOT-compile my skill at <path/to/SKILL.md>, and run one task from <path/to/task.json> using the compiled result.”