Validates LlamaFarm configuration files against schema requirements to ensure correct model and runtime setup.
LlamaFarm Config Validation is a specialized Claude Code skill designed to streamline the management of llamafarm.yaml files. It provides real-time, schema-aware guidance for required fields like project identifiers and runtime environments, ensuring that model providers such as OpenAI, Ollama, and Lemonade are correctly configured. By enforcing strict naming patterns for prompts, databases, and datasets, and providing integrated validation commands, this skill helps developers avoid configuration errors and deployment failures within the LlamaFarm ecosystem.
주요 기능
01Automated checking of naming patterns for prompts, databases, and datasets
02Real-time schema validation for llamafarm.yaml files
03Support for multiple model providers including OpenAI, Ollama, and Universal
040 GitHub stars
05Progressive disclosure for advanced parser and extractor configurations
06Integration with LlamaFarm CLI and Python validation tools
사용 사례
01Setting up new projects with correctly formatted namespaces and model runtimes
02Validating dataset-to-strategy cross-references before deployment
03Troubleshooting syntax or schema errors in LlamaFarm configuration files
