Build production Firebase Genkit applications including RAG systems, multi-step flows, and tool calling for Node.js/Python/Go. Deploy to Firebase Functions or Cloud Run with AI monitoring. Use when asked to "create genkit flow" or "implement RAG". Trigger with relevant phrases based on skill purpose.
4.0
Rating
0
Installs
AI & LLM
Category
The skill addresses a specialized domain (Firebase Genkit production applications) but SKILL.md is mostly generic boilerplate. The description mentions specific capabilities (RAG systems, multi-step flows, tool calling, deployment) but SKILL.md provides no concrete guidance on how to invoke these features or what parameters are needed. The structure appropriately delegates details to reference files, and the presence of init-genkit.sh, production-best-practices-applied.md, and workflow-examples.md suggests substantive task knowledge exists in those files. However, the main documentation lacks specificity about Genkit concepts, flow creation, or RAG implementation steps. Novelty is limited since a CLI agent with sufficient context could potentially accomplish Genkit tasks, though the skill may reduce token usage for complex multi-step flows. To improve, SKILL.md should include: specific function signatures or flow patterns, parameter requirements for RAG/tool calling, and clear invocation examples.
jeremylongshore
Skill Author
Loading SKILL.md…
