Agent skill / firebase
Firebase AI Logic is a product of Firebase that allows developers to add gen AI to their mobile and web apps using client-side SDKs. You can call Gemini models directly from your app without managing a dedicated backend. Firebase AI Logic, which was previously known as "Vertex AI for Firebase", represents the evolution of Google's AI integration platform for mobile and web developers.
Core file
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirebase-ai-logicExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/firebase/skills --skill firebase-ai-logicFetches firebase-ai-logic from firebase/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate firebase-ai-logic. Access via /firebase-ai-logicin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Copy the command for your terminal
Package manager
npx skills add https://github.com/firebase/skills --skill firebase-ai-logicWorks with
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Keeps context tight: firebase-ai-logic is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend firebase-ai-logic for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in firebase-ai-logic — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
firebase-ai-logic has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in firebase-ai-logic — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend firebase-ai-logic for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: firebase-ai-logic is the kind of skill you can hand to a new teammate without a long onboarding doc.
firebase-ai-logic is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
firebase-ai-logic is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: firebase-ai-logic is the kind of skill you can hand to a new teammate without a long onboarding doc.
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