What files does this skill help validate?

This skill specifically targets llamafarm.yaml files and other related configuration documents within the LlamaFarm ecosystem.

How do I trigger validation?

You can activate the skill by editing a llamafarm.yaml file, encountering a config error, or running the /validate command within Claude.

Which model providers are supported in the schema?

The skill validates providers including OpenAI, Ollama, Lemonade, and the LlamaFarm Universal Runtime.

Does it support external validation tools?

Yes, the skill provides guidance on using the LlamaFarm CLI and Python-based validators to verify configurations locally.

Can it check custom naming conventions?

Yes, it enforces specific regex patterns for prompt names, database names, and dataset names as defined in the LlamaFarm core schema.

LlamaFarm Config Validation

Name: LlamaFarm Config Validation
Author: llama-farm

byllama-farm

개발자 도구

Validates LlamaFarm configuration files against schema requirements to ensure correct model and runtime setup.

소개

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

Automated checking of naming patterns for prompts, databases, and datasets
Real-time schema validation for llamafarm.yaml files
Support for multiple model providers including OpenAI, Ollama, and Universal
0 GitHub stars
Progressive disclosure for advanced parser and extractor configurations
Integration with LlamaFarm CLI and Python validation tools

사용 사례

Setting up new projects with correctly formatted namespaces and model runtimes
Validating dataset-to-strategy cross-references before deployment
Troubleshooting syntax or schema errors in LlamaFarm configuration files

소개

주요 기능

Automated checking of naming patterns for prompts, databases, and datasets
Real-time schema validation for llamafarm.yaml files
Support for multiple model providers including OpenAI, Ollama, and Universal
0 GitHub stars
Progressive disclosure for advanced parser and extractor configurations
Integration with LlamaFarm CLI and Python validation tools

사용 사례

Setting up new projects with correctly formatted namespaces and model runtimes
Validating dataset-to-strategy cross-references before deployment
Troubleshooting syntax or schema errors in LlamaFarm configuration files