caffe-cifar-10
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.
npx skills add majiayu000/claude-skill-registry --skill caffe-cifar-10 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Caffe CIFAR-10 Build and Training This skill provides procedural guidance for building the Caffe deep learning framework from source and training models on the CIFAR-10 dataset. ## When to Use This Skill - Building Caffe from source on Ubuntu/Debian systems - Training CIFAR-10 or similar image classification models with Caffe - Configuring Caffe for CPU-only execution - Troubleshooting Caffe build and dependency issues ## Critical Requirements Checklist Before starting, identify ALL requirements from the task specification: 1. **Execution mode**: CPU-only vs GPU (affects solver configuration) 2. **Iteration count**: Specific number of training iterations required 3. **Output files**: Where training logs and models should be saved 4. **Model checkpoints**: Which iteration's model file is expected ## Phase 1: Dependency Installation ### System Dependencies Install required packages before attempting to build: ```bash apt-get update && apt-get install -y \ build-essential cmake git \ libprotobuf-dev libleveldb-dev libsnappy-dev \ libhdf5-serial-dev protobuf-compiler \ libatlas-base-dev libgflags-dev libgoogle-glog-dev liblmdb-dev \ libopencv-dev libboost-all-dev \ python3-dev python
- When to Use This Skill
- Critical Requirements Checklist
- Phase 1: Dependency Installation
- System Dependencies
- Verification Step
- Phase 2: Caffe Source Acquisition
- Clone and Checkout
- Common Mistake
- Phase 3: Makefile.config Configuration
- Create Configuration File
- Essential Configuration Changes
- Configuration Verification
- Phase 4: Building Caffe
- Memory-Aware Compilation
apt-get update && apt-get install -y \ build-essential cmake git \ libprotobuf-dev libleveldb-dev libsnappy-dev \ libhdf5-serial-dev protobuf-compiler \ libatlas-base-dev libgflags-dev libgoogle-glog-dev liblmdb-dev \ libopencv-dev libboost-all-dev \ python3-dev python3-numpy python3-pip dpkg -l | grep -E "libhdf5|libopencv|libboost" git clone https://github.com/BVLC/caffe.git cd caffe
What does the caffe-cifar-10 skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill caffe-cifar-10 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.