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kossisoroycekossisoroyceCommunity·1 Agent Skills Included

timber

Compile ML models to native C and serve in microseconds

Compiles trained XGBoost, LightGBM, scikit-learn, CatBoost, and ONNX models into self-contained C99 libraries with zero runtime dependencies. Serves any model over an Ollama-compatible HTTP API in one command, eliminating slow Python inference from production paths. Generates SIMD, GPU, FPGA, and embedded variants with safety certification reports for edge and regulated deployments.
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npx skills add kossisoroyce/timber --all -g -y

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timber

Compile classical machine learning models into native C99 inference artifacts.

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Frequently Asked Questions

FAQPage Schema
How to install Timber?▼

Run `npx skills add kossisoroyce/timber --all -g -y` in your terminal to install all tools in this suite globally.

How to serve an ML model without Python overhead?▼

Timber compiles your trained model into a native C library and serves it over an HTTP API, delivering roughly 2 microsecond inference per sample.

Which ML frameworks does Timber support?▼

It supports XGBoost, LightGBM, scikit-learn, CatBoost, and ONNX models, plus URDF robot descriptions for forward kinematics.

Can Timber deploy models to edge or embedded devices?▼

Yes. The timber accel backend emits code for ARM Cortex-M, ESP32, STM32, SIMD, GPU, and FPGA targets, all from one install.

Does Timber work with AI coding agents?▼

Yes. It ships a skill.md file that teaches AI agents the full CLI, Python API, and HTTP endpoints so they can compile and serve models autonomously.

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