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 with RAG, multi-step flows, and tool calling) which could be valuable, but the SKILL.md is extremely generic and provides almost no actionable guidance. The description mentions specific use cases like 'create genkit flow' and 'implement RAG', but the Instructions section is boilerplate that could apply to any skill. While the skill references supporting files (errors.md, examples.md, how-it-works.md, production-best-practices-applied.md) which are assumed to contain useful content, the main SKILL.md fails to provide a clear overview of capabilities, workflow steps, or how to actually use the skill. A CLI agent would struggle to understand what specific Genkit operations this skill can perform, what parameters to provide, or what the workflow looks like. The structure shows promise with separated reference files, but the core documentation is too vague. Novelty is limited because while Genkit expertise may be useful, the implementation doesn't demonstrate sufficient complexity or cost savings without clearer methodology.
jeremylongshore
Skill Author
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