Skills for Claude Desktop

T

Trace To Training Data

wshobson

Transform evaluation traces into training data efficiently.

Preference Optimization

wshobson

Align models with user preferences efficiently.

Fine-Tuning Method Selection

wshobson

Streamline your fine-tuning decisions effectively.

E

Eval Harness First

wshobson

Essential setup for fine-tuning AI models.

Checkpoint Promotion

wshobson

Ensure your AI model meets quality standards before deployment.

RAG Implementation

wshobson

Build knowledge-grounded AI systems with RAG.

Team Composition Patterns

wshobson

Optimize agent team setups for various tasks.

Team Communication Protocols

wshobson

Enhance agent collaboration with structured messaging.

LLM Evaluation

wshobson

Systematic evaluation strategies for LLM performance.