How do I install the Build With Deepmind skill?

Run npx skillmds@latest add hiteshbandhu/build-with-deepmind in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Build With Deepmind safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Build With Deepmind?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Build With Deepmind free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Build With Deepmind?

hiteshbandhu (@hiteshbandhu) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Build With Deepmind by hiteshbandhu

Name: Build With Deepmind
Author: hiteshbandhu

Build With Deepmind

Builds products on Google DeepMind Gemini, Gemma, Nano, Live agents, proactive async agents, and edge deployment. Use when integrating Gemini API, Gemma open models, Android on-device AI, conversational/voice agents, agent manager patterns, or edge Gemma inference.

hiteshbandhu Updated Sep 17, 2026

File contents

Build with DeepMind

Action playbook from nine Google DeepMind @ AI Engineer talks. Do not summarize talks — pick a workflow theme and execute it.

Supporting files:

workflows.md
source-index.md

Optional: ./skill-outputs/build-with-deepmind/

Step 0 — Pick workflow theme

What is the user trying to do?
├─ Gemini API / Gemini 3 / multimodal generation     → gemini-api
├─ Gemma open models, fine-tune, self-host           → gemma-open
├─ Android on-device Gemini Nano                     → gemini-nano
├─ Voice / Live conversational agents                → live-agents
├─ Proactive async coding agents (Jules patterns)    → proactive-agents
├─ Agent manager / browser / IDE control plane         → agent-manager
├─ Edge Gemma deployment                             → edge-ai
└─ Train/serve diffusion image/video at scale          → generative-scale

Open workflows.md for the matching section.

Install

cp -r skills/build-with-deepmind ~/.claude/skills/
cp -r skills/build-with-deepmind ~/.cursor/skills/
cp -r skills/build-with-deepmind ~/.codex/skills/
cp -r skills/build-with-deepmind ~/.agents/skills/

Source: playlists/google-deepmind-ai-engineer/ in ingest-into-skills.

Cross-cutting rules

Rule	Source
Track Gemini model + API + app releases together	[src-001 @ 0:04:53]
Eval tool-calling when upgrading Gemini generations	[src-002 @ 0:02:12]
Match Gemma size to device latency budget	[src-003 @ 0:01:28]
Live API for realtime voice; batch API for async	[src-005 @ 0:09:04]
Log proactive agent actions for trust	[src-006 @ 0:09:00]

Output to user

Name theme + deliverables
Save artifacts under ./skill-outputs/build-with-deepmind/ when requested
Do not auto-commit

---name: build-with-deepminddescription: Builds products on Google DeepMind Gemini, Gemma, Nano, Live agents, proactive async agents, and edge deployment. Use when integrating Gemini API, Gemma open models, Android on-device AI, conversational/voice agents, agent manager patterns, or edge Gemma inference.---# Build with DeepMindAction playbook from nine Google DeepMind @ AI Engineer talks. **Do not summarize talks** — pick a workflow theme and execute it.**Supporting files:**- [workflows.md](workflows.md)- [source-index.md](source-index.md)Optional: `./skill-outputs/build-with-deepmind/`---## Step 0 — Pick workflow theme```What is the user trying to do?├─ Gemini API / Gemini 3 / multimodal generation → gemini-api├─ Gemma open models, fine-tune, self-host → gemma-open├─ Android on-device Gemini Nano → gemini-nano├─ Voice / Live conversational agents → live-agents├─ Proactive async coding agents (Jules patterns) → proactive-agents├─ Agent manager / browser / IDE control plane → agent-manager├─ Edge Gemma deployment → edge-ai└─ Train/serve diffusion image/video at scale → generative-scale```Open [workflows.md](workflows.md) for the matching section.---## Install```bashcp -r skills/build-with-deepmind ~/.claude/skills/cp -r skills/build-with-deepmind ~/.cursor/skills/cp -r skills/build-with-deepmind ~/.codex/skills/cp -r skills/build-with-deepmind ~/.agents/skills/```Source: `playlists/google-deepmind-ai-engineer/` in [ingest-into-skills](https://github.com/hiteshbandhu/ingest-into-skills).---## Cross-cutting rules| Rule | Source ||------|--------|| Track Gemini model + API + app releases together | [src-001 @ 0:04:53] || Eval tool-calling when upgrading Gemini generations | [src-002 @ 0:02:12] || Match Gemma size to device latency budget | [src-003 @ 0:01:28] || Live API for realtime voice; batch API for async | [src-005 @ 0:09:04] || Log proactive agent actions for trust | [src-006 @ 0:09:00] |---## Output to user1. Name theme + deliverables2. Save artifacts under `./skill-outputs/build-with-deepmind/` when requested3. Do not auto-commit

Frequently asked questions