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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 ...
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | deep-research |
| description | 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 ... |
| source | https://github.com/sanjay3290/ai-skills/tree/main/skills/deep-research |
| risk | safe |
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.
Use this skill when:
pip install -r requirements.txtexport GEMINI_API_KEY=your-api-key-here
.env file in the skill directory.python3 scripts/research.py --query "Research the history of Kubernetes"
python3 scripts/research.py --query "Compare Python web frameworks" \
--format "1. Executive Summary\n2. Comparison Table\n3. Recommendations"
python3 scripts/research.py --query "Analyze EV battery market" --stream
python3 scripts/research.py --query "Research topic" --no-wait
python3 scripts/research.py --status <interaction_id>
python3 scripts/research.py --wait <interaction_id>
python3 scripts/research.py --query "Elaborate on point 2" --continue <interaction_id>
python3 scripts/research.py --list
--json): Structured data for programmatic use--raw): Unprocessed API response| Metric | Value |
|---|---|
| Time | 2-10 minutes per task |
| Cost | $2-5 per task (varies by complexity) |
| Token usage | ~250k-900k input, ~60k-80k output |
--query "..."--stream or poll with --status--continue for follow-up questionsFull codebase audit: architecture health, dependencies, complexity, tech debt. Use when: "audit", "health check", "codebase analysis", "tech debt", "architecture review", "dependency check", "code quality"
Structured brainstorming with multiple approaches and tradeoffs. Use when: "brainstorm", "explore options", "what are my options", "compare approaches", "pros and cons", "which is better", "how should I", "alternatives"
Build error diagnosis and resolution. Use when: "build failed", "compile error", "bundler error", "fix build", "npm error", "type error", "won't compile"
Scaffold a new application with interactive dialogue. Use when: "create", "build me", "make an app", "new project", "scaffold", "generate app", "start new"
Generate a new custom skill from natural language description. Use when: "create skill", "new skill", "make a skill", "add command", "custom workflow", "skill template", "generate skill"
Systematic debugging with hypothesis-driven investigation. Use when: "debug", "not working", "bug", "broken", "error", "unexpected behavior", "fix issue", "investigate"