Genkit
This is the skill you reach for when you're staring at a backend feature and asking "should this be a real Genkit flow or just a normal route handler with a model call?" It forces you to choose one operating mode (flow foundation, tool and agent, retrieval and prompt, evaluation and observability, or deployment runtime) instead of dumping tutorial content or turning every Firebase app into a workflow orchestration project. The real value is in the routing discipline: it keeps direct client SDK work in firebase-ai-logic, Firebase platform ops in firebase-cli, and framework comparisons in survey. Best for teams that need typed server-side AI contracts, reusable flows across multiple surfaces, or eval coverage before a Cloud Run deploy, not for every single AI feature that crosses your backlog.
- skills.sh installs
- 163
- GitHub stars
- 22
- last updated
- Jun 3, 2026
Install
$ npx -y skills add akillness/oh-my-skills --skill genkit --agent claude-codeInstalls into .claude/skills of the current project.
Files
Genkit
Use this skill when the main question is "should this Firebase AI feature be a direct client SDK integration or a reusable server-owned Genkit workflow?"
The job is not to dump a long Genkit tutorial, CLI catalog, or Firebase product tour. Frame the current packet, choose one ownership boundary and operating mode, then keep Firebase platform operations and broad framework comparisons routed to adjacent skills.
Read references/intake-packets-and-fallbacks.md before handling mixed or ambiguous requests. Read references/modes-and-routing.md before choosing a primary mode. Read references/deployment-and-runtime-boundaries.md when runtime choice is the real open question. Read references/evals-and-observability.md when the workflow already exists and confidence is the bottleneck.
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- Repository
- github.com/akillness/oh-my-skills
- First seen
- Jun 3, 2026
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