How do I install the Deep Research Gemini skill?

Run npx skillmds@latest add closedloop-technologies/deep-research-gemini in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Deep Research Gemini safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Deep Research Gemini?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Deep Research Gemini free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Deep Research Gemini?

closedloop-technologies (@closedloop-technologies) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Deep Research Gemini by closedloop-technologies

Name: Deep Research Gemini
Rating: 4.2 (5 reviews)
Author: closedloop-technologies

Deep Research Gemini

Run Google Gemini deep research and search-grounded Gemini research tasks with bounded scope and captured outputs. Use when research should rely on Gemini, Google Search grounding, or Google-hosted document context.

File contents

Gemini Deep Research

Use this skill for Gemini Deep Research Agent or Gemini search-grounded research flows. Gemini Deep Research is useful when research should be grounded in Google Search or uploaded documents.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-gemini/scripts/gemini_research.py \
  --prompt "Research current deep research APIs. Keep the answer concise and cite sources." \
  --mode grounded \
  --model gemini-3.5-flash

Required 1Password-backed variables:

GOOGLE_API_KEY
GOOGLE_CLOUD_PROJECT when project-scoped Gemini or Google Cloud APIs need a project resource name

Cost Controls

Use search grounding or Deep Research Agent only when fresh web/document research is required.
Cap prompt scope and request concise reports.
For benchmark parity, record whether the run used the Deep Research Agent, generateContent with grounding, or a manual two-step retrieval workflow.
The benchmark command uses grounded Interactions API mode by default because Gemini Deep Research Agent tasks are documented as agentic workflows that can cost around or above the repository's $1 per-call budget. Use --mode deep-research-start only for a deliberate live Deep Research Agent experiment.

Current Source Links

Frequently asked questions