deep-research

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Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.

1installs

Sourceneversight/skills_feed

Added on2026-02-22

NPX Install

npx skill4agent add neversight/skills_feed deep-research

SKILL.md Content

Gemini Deep Research Skill

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

When to Use This Skill

Use this skill when:

Performing market analysis
Conducting competitive landscaping
Creating literature reviews
Doing technical research
Performing due diligence
Need detailed, cited research reports

Requirements

Python 3.8+
httpx:
```
pip install -r requirements.txt
```
GEMINI_API_KEY environment variable

Setup

Get a Gemini API key from Google AI Studio
Set the environment variable:
bash
```
export GEMINI_API_KEY=your-api-key-here
```
Or create a
```
.env
```
file in the skill directory.

Usage

Start a research task

bash

python3 scripts/research.py --query "Research the history of Kubernetes"

With structured output format

bash

python3 scripts/research.py --query "Compare Python web frameworks" \
  --format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"

Stream progress in real-time

bash

python3 scripts/research.py --query "Analyze EV battery market" --stream

Start without waiting

bash

python3 scripts/research.py --query "Research topic" --no-wait

Check status of running research

bash

python3 scripts/research.py --status <interaction_id>

Wait for completion

bash

python3 scripts/research.py --wait <interaction_id>

Continue from previous research

bash

python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>

List recent research

bash

python3 scripts/research.py --list

Output Formats

Default: Human-readable markdown report
JSON (
```
--json
```
): Structured data for programmatic use
Raw (
```
--raw
```
): Unprocessed API response

Cost & Time

Metric	Value
Time	2-10 minutes per task
Cost	$2-5 per task (varies by complexity)
Token usage	~250k-900k input, ~60k-80k output

Best Use Cases

Market analysis and competitive landscaping
Technical literature reviews
Due diligence research
Historical research and timelines
Comparative analysis (frameworks, products, technologies)

Workflow

User requests research → Run
```
--query "..."
```
Inform user of estimated time (2-10 minutes)
Monitor with
```
--stream
```
or poll with
```
--status
```
Return formatted results
Use
```
--continue
```
for follow-up questions

Exit Codes

0: Success
1: Error (API error, config issue, timeout)
130: Cancelled by user (Ctrl+C)