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Deep Research

  • 26 installs
  • 364 repo stars
  • Updated July 9, 2026
  • sanjay3290/postgres-skill

This is a copy of deep-research by sanjay3290 - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

deep-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • deep-research
  • AI & Agent Building
  • AI-coding skill

Deep Research by the numbers

  • 26 all-time installs (skills.sh)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/sanjay3290/postgres-skill --skill deep-research

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Listed on Skillselion
Installs26
repo stars364
Last updatedJuly 9, 2026
Repositorysanjay3290/postgres-skill

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Gemini Deep Research Skill

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

Requirements

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

Setup

1. Get a Gemini API key from Google AI Studio 2. Set the environment variable:

   export GEMINI_API_KEY=your-api-key-here

Or create a .env file in the skill directory.

Usage

Start a research task

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

With structured output format

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

Stream progress in real-time

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

Start without waiting

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

Check status of running research

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

Wait for completion

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

Continue from previous research

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

List recent research

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

MetricValue
Time2-10 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

1. User requests research → Run --query "..." 2. Inform user of estimated time (2-10 minutes) 3. Monitor with --stream or poll with --status 4. Return formatted results 5. Use --continue for follow-up questions

Exit Codes

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

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