gemini-deep-research
Run Gemini deep research to analyze and synthesize web sources into a comprehensive report. Invoked with a research query as argument.
npx skills add majiayu000/claude-skill-registry --skill gemini-deep-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Gemini Deep Research Use Google's Gemini `deep-research-pro-preview-12-2025` agent to perform deep web research and return a comprehensive markdown report with inline citations. ## Requirements - `GEMINI_API_KEY` must be set in the environment - `google-genai` Python package must be installed ## Procedure 1. Receive the user's research query from `$ARGUMENTS` 2. Ensure the `google-genai` package is available: run `pip install -q google-genai` via Bash 3. Run the research script via Bash in background mode (it may take several minutes): ``` python skills/gemini-deep-research/scripts/gemini_deep_research.py "$ARGUMENTS" ``` 4. Wait for the script to complete 5. Present the returned markdown report to the user as-is (it includes inline citations) 6. If the script fails, show the error output and suggest: - Check that `GEMINI_API_KEY` is set and valid - Check that the `google-genai` package is installed (`pip install google-genai`) - Check Google AI Studio status
- Requirements
- Procedure
What does the gemini-deep-research skill do?
Run Gemini deep research to analyze and synthesize web sources into a comprehensive report. Invoked with a research query as argument.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gemini-deep-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.