cs-ml
ML: supervised/unsupervised/RL, CNN/RNN/Transformer, training, evaluation, MLOps, LLM fine-tuning
npx skills add majiayu000/claude-skill-registry --skill cs-ml --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.
# cs-ml ## Purpose This skill handles machine learning tasks, including supervised/unsupervised learning, reinforcement learning, CNN/RNN/Transformer models, training pipelines, evaluation metrics, MLOps workflows, and LLM fine-tuning. It integrates with OpenClaw to automate code generation and execution for ML projects. ## When to Use Use this skill when building ML models from scratch, fine-tuning pre-trained models like BERT, deploying models via MLOps, or evaluating performance. Apply it for tasks involving large datasets, neural networks, or production pipelines, such as image recognition with CNNs or text generation with Transformers. ## Key Capabilities - Train supervised models using algorithms like linear regression or decision trees via scikit-learn integration. - Implement unsupervised learning with K-means clustering or PCA for dimensionality reduction. - Build and train deep learning models: CNNs for images (e.g., using Keras), RNNs for sequences, or Transformers for NLP tasks. - Handle RL environments with libraries like Stable Baselines, including Q-learning loops. - Evaluate models with metrics like accuracy, F1-score, or ROC curves, and generate confusion matrices.
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Graph Relationships
What does the cs-ml skill do?
ML: supervised/unsupervised/RL, CNN/RNN/Transformer, training, evaluation, MLOps, LLM fine-tuning
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cs-ml --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.