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Gemini

Skill jeffchen006/skills/selected/gemini

Run a single Gemini deep research query from the CLI and store the report locally. Use when a user wants a one-off deep research result.From its SKILL.md

Install
npx -y skills add jeffchen006/skills --skill gemini

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

0.7 KB, 129 tokens by cl100k_base, as published. Nobody here has run it

Gemini Deep Research

Use scripts/deep_research.py to run one deep research query and save the report to local storage.

Quick start

  • Put GOOGLE_API_KEY=... in the project .env.
  • Run: python scripts/deep_research.py "your topic"

Storage

Reports are saved under storage/ (relative to this skill directory). Each run gets:

  • report.md (human-readable output)
  • run.json (metadata)

Expected wait time

Deep research typically takes a few minutes (often 2-10 minutes), longer for complex topics.

What ships with it: 1 file

4.7 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.