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Chrome's built-in Prompt API implementation guide. Use Gemini Nano locally in browser for AI features - session management, multimodal input, structured output, streaming, Chrome Extensions. Reference for all Prompt API development.
Passed 24 of 25 test cases with the skill, and 9 of 25 without it.
and 15 more in the full report
15 fixed9 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which minimum Chrome browser version is required for Web origin trial support of Chrome's built-in Prompt API?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies Chrome version 138 or higher as the minimum required browser version. | Missed | Passed |
The instructions your model reads when the skill loads.
Complete implementation guide for Chrome's built-in Prompt API using Gemini Nano.
OS: Windows 10/11, macOS 13+ (Ventura+), Linux, ChromeOS (Platform 16389.0.0+) on Chromebook Plus Storage: 22 GB free (model downloaded separately) GPU: >4 GB VRAM OR CPU: 16 GB RAM + 4 cores Network: Unmetered connection for download Chrome: 138+ (Extensions in stable, Web in origin trial)
Not supported: Mobile (Android, iOS), non-Chromebook Plus ChromeOS
Check model size: chrome://on-device-internals
Model removed if storage <10 GB after download.
From Chrome 140: English, Spanish, Japanese (input/output)
const availability = await LanguageModel.availability();
// Returns: "unavailable" | "downloadable" | "downloading" | "available"
CRITICAL: Always pass same options to availability() as you use in create(). Some models don't support certain modalities/languages.
await LanguageModel.params();
// { defaultTopK: 3, maxTopK: 128, defaultTemperature: 1, maxTemperature: 2 }
test cases passed, vs 9 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.