gemini-deep-research
Run Gemini Deep Research via browser automation. Persistent Chrome on CDP port 9222. Use when user asks to research a topic with Gemini, run deep research, or wants comprehensive AI-powered research reports. TRIGGERS - Gemini research, deep research, research report, Gemini Deep Research
Best use case
gemini-deep-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Run Gemini Deep Research via browser automation. Persistent Chrome on CDP port 9222. Use when user asks to research a topic with Gemini, run deep research, or wants comprehensive AI-powered research reports. TRIGGERS - Gemini research, deep research, research report, Gemini Deep Research
Teams using gemini-deep-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gemini-deep-research Compares
| Feature / Agent | gemini-deep-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Run Gemini Deep Research via browser automation. Persistent Chrome on CDP port 9222. Use when user asks to research a topic with Gemini, run deep research, or wants comprehensive AI-powered research reports. TRIGGERS - Gemini research, deep research, research report, Gemini Deep Research
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Gemini Deep Research
Run long-form research queries through Google's Gemini Deep Research via browser automation (Playwright CDP). Produces 40k+ char markdown reports with source citations.
> **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
## Prerequisites
1. **Chrome with debug port**: Must be running with `--remote-debugging-port=9222`
2. **Gemini Advanced subscription**: Logged into gemini.google.com in the debug Chrome
3. **playwright-core**: `bun add -g playwright-core` (or project-local)
4. **Runtime**: Use `npx tsx` (not `bun run`) — Bun's CDP connectOverCDP times out; Node.js connects in <1s
### Launch Chrome (if not running)
```bash
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
--remote-debugging-port=9222 \
--user-data-dir="/tmp/gemini-research-profile" \
"https://gemini.google.com/app" &
```
Then log in manually with a Gemini Advanced account.
## Usage
### CLI (direct)
```bash
# Health check — verify Chrome CDP + Gemini login
npx tsx {{skill_dir}}/scripts/research.ts --health
# Basic research (runs preflight automatically)
npx tsx {{skill_dir}}/scripts/research.ts "your research query"
# Save to specific file
npx tsx {{skill_dir}}/scripts/research.ts \
--output /tmp/report.md \
--timeout 45 \
"comprehensive analysis of quantum computing error correction 2025-2026"
# Auto-save to directory (creates {date}-{slug}.md)
npx tsx {{skill_dir}}/scripts/research.ts \
--output-dir ~/.claude/automation/gemini-deep-research/output \
"your query"
# Without auto-confirming plan (lets you review first)
npx tsx {{skill_dir}}/scripts/research.ts --no-confirm "query"
```
### Programmatic (import)
```typescript
import { GeminiDeepResearchClient } from "{{skill_dir}}/scripts/client.js";
const client = new GeminiDeepResearchClient({
cdpUrl: "http://127.0.0.1:9222",
maxResearchTimeMs: 30 * 60 * 1000,
autoConfirm: true,
onProgress: (msg) => console.log(msg),
});
await client.init();
const result = await client.research("your query");
// result.report — full markdown report (40k+ chars)
// result.plan — research plan text
// result.completed — boolean
// result.durationMs — execution time
// result.shareLink — Gemini share URL (if Firecrawl enabled)
await client.close();
```
## Preflight
Every research run starts with an automatic preflight health check that verifies:
1. **Chrome CDP reachable** on configured port
2. **Browser connection** via WebSocket succeeds
3. **Gemini page open** at gemini.google.com
4. **Login state OK** (not showing sign-in wall)
If any check fails, research aborts with a clear error message. Use `--no-preflight` to skip.
## Automation Flow
```
Preflight (CDP + login check) → abort if unhealthy
↓
Chrome CDP:9222 → Navigate gemini.google.com/app
↓
Tools button → Deep Research drawer item → Active chip verification
↓
Type query (30ms/char) → Send button (or Enter fallback)
↓
Wait for research plan (~18-120s) → Extract plan text
↓
Auto-confirm "Start research" (or manual)
↓
Poll completion: mic button + text stability (5s intervals, 30min max)
↓
Extract report (longest .markdown element) → Optional share link + Firecrawl
```
## Debug Probes
When selectors break (Google updates Gemini UI), use the probe scripts:
```bash
# Check Chrome connectivity
bun run {{skill_dir}}/scripts/probes/dom-inspector.ts status
# Test all selectors against live DOM
bun run {{skill_dir}}/scripts/probes/dom-inspector.ts selectors
# Full DOM inspection
bun run {{skill_dir}}/scripts/probes/dom-inspector.ts probe
# Monitor active research execution
bun run {{skill_dir}}/scripts/probes/research-monitor.ts confirm-and-monitor
# Check research completion + extract share link
bun run {{skill_dir}}/scripts/probes/share-link.ts status
bun run {{skill_dir}}/scripts/probes/share-link.ts extract
```
## Selector Registry
All CSS selectors live in `scripts/selectors.ts`. When Google updates the Gemini UI:
1. Run `dom-inspector.ts selectors` to identify broken selectors
2. Run `dom-inspector.ts probe` to inspect current DOM
3. Update `selectors.ts` with new selectors
4. Re-test with `dom-inspector.ts selectors`
Selectors last verified: **2026-03-13** (Tools button: now `button.toolbox-drawer-button`, aria-label removed)
## Key Files
| File | Purpose |
| ------------------------------------ | ------------------------------------------------ |
| `scripts/research.ts` | Unified CLI entrypoint |
| `scripts/client.ts` | `GeminiDeepResearchClient` class |
| `scripts/selectors.ts` | CSS selector registry (13 groups with fallbacks) |
| `scripts/probes/dom-inspector.ts` | DOM probing (5 commands) |
| `scripts/probes/research-monitor.ts` | Research execution monitor |
| `scripts/probes/share-link.ts` | Share link extraction |
## Options Reference
| Option | Default | Description |
| ------------------- | ----------------------- | ------------------------------------------- |
| `cdpUrl` | `http://127.0.0.1:9222` | Chrome CDP endpoint |
| `maxResearchTimeMs` | `1800000` (30 min) | Max wait for research completion |
| `pollIntervalMs` | `5000` (5s) | How often to check for completion |
| `autoConfirm` | `true` | Auto-click "Start research" on plan |
| `enableFirecrawl` | `false` | Extract share link + scrape via Firecrawl |
| `firecrawlUrl` | `http://localhost:3002` | Self-hosted Firecrawl endpoint |
| `--no-preflight` | (preflight runs) | Skip automatic health check before research |
## Completion Detection
Research completion is detected via three signals:
1. **Mic button visible** — `button[data-node-type="speech_dictation_mic_button"]` reappears
2. **Report text > 500 chars** — longest `.markdown.markdown-main-panel` element
3. **Text stability** — 3 consecutive identical text lengths (15s total)
The spinner may remain visible as a stale artifact after completion — the mic button is the primary signal.
## Post-Execution Reflection
After this skill completes, check before closing:
1. **Did the command succeed?** — If not, fix the instruction or error table that caused the failure.
2. **Did parameters or output change?** — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
3. **Was a workaround needed?** — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.
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