Skip to main content 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.
npx skills add sickn33/antigravity-awesome-skills --skill deep-research agentic-skills ai-agents antigravity claude-code mcp ai-workflows
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:
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 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)
Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).