caffe-cifar-10

13 stars 1 forks
21

Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.

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Installation for Agentic Skill

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skilz install letta-ai/skills/caffe-cifar-10
skilz install letta-ai/skills/caffe-cifar-10 --agent opencode
skilz install letta-ai/skills/caffe-cifar-10 --agent codex
skilz install letta-ai/skills/caffe-cifar-10 --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/letta-ai/skills
2. Copy the agent skill directory:
cp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-feedback/caffe-cifar-10 ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
skills
Stars
13
Forks
1
Type
Technical
Meta-Domain
data ai
Primary Domain
machine learning
Market Score
21

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