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# TinyML Agent - Claude Code Skill
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# Tiny ML Agent - Claude Code Skill
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This repository contains the tinyml-agentic-skill, an end-to-end skill for building, training, compiling, and deploying ML models to embedded MCUs using tinyml-tensorlab.
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## What This Skill Does
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The TinyML Agent guides you through the complete TinyML workflow to:
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The Tiny ML Agent guides you through the complete Tiny ML workflow to:
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1.**Configure your project** — Select task type, target device, and data sources
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2.**Analyze your data** — Extract statistical insights and validate dataset format
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**Prerequisites:**
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-`tinyml-tensorlab` installed and set up on your system
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- Python environment with PyTorch and tinyml dependencies
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- Python environment with PyTorch and tinyml-tensorlab dependencies
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- A dataset in CSV, TXT, or NumPy format
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**Data Requirements:**
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Invoke the skill in Claude Code by mentioning any of:
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- "Create an ML model for my MCU"
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- "Train and deploy to embedded device"
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- "Build a TinyML model with tinyml-tensorlab"
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- "Build a Tiny ML model with tinyml-tensorlab"
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- "I want to deploy a model to [your-target-device]"
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