gemini-deep-research
Skill4 starsChanged 44 days agoMITView on GitHub
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
- Reads credentials
8 other projects use a version of this.
Adopted by
Most recently taken up by
- OpenLAIR/dr-clawtheir own version, first seen Nov 8, 2026
- amanuelmamo7/Skillstheir own version, first seen Nov 7, 2026
- yigityildiz0/evidence-research-skillstheir own version, first seen Oct 25, 2026
- iberi22/skillstheir own version, first seen Oct 15, 2026
- jeffcryder/skillstheir own version, first seen Aug 30, 2026
- zcaceres/skillstheir own version, first seen Aug 19, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- OpenLAIR/dr-claw★ 1.2ksame name
- zcaceres/skills★ 7same name
- amanuelmamo7/Skills★ 1same name
- Jonassuhard/claude-code-soul★ 1same name
- hiapplyco/claude-skills★ 0same name
- iberi22/skills★ 0same name
- jeffcryder/skills★ 0same name
- yigityildiz0/evidence-research-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/popular-web-designs/templates/claude.mdCLAUDE.md
- llms.txtllms.txt
- public/llms-full.txtllms.txt
- public/llms.txtllms.txt
- openclaw-deckSkill
- arxivSkill
- blogwatcherSkill
- p5jsSkill
- polymarketSkill
- popular-web-designsSkill
- subagent-driven-developmentSkill
- twitter-algorithm-optimizerSkill
- visionaire-feedbackSkill
- visionaire-knowledgeSkill
- youtube-contentSkill
- youtube-transcriptSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
- Distinctive: line 67
Does NOT work with Antigravity OAuth authentication
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Gemini Deep Research
Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
Prerequisites
GEMINI_API_KEYenvironment variable (from Google AI Studio)- Note: This does NOT work with Antigravity OAuth tokens. Requires a direct Gemini API key.
How It Works
Deep Research is an agent that:
- Breaks down complex queries into sub-questions
- Searches the web systematically
- Synthesizes findings into comprehensive reports
- Provides streaming progress updates
Usage
Basic Research
scripts/deep_research.py --query "Research the history of Google TPUs"Custom Output Format
scripts/deep_research.py --query "Research the competitive landscape of EV batteries" \
--format "1. Executive Summary\n2. Key Players (include data table)\n3. Supply Chain Risks"With File Search (optional)
scripts/deep_research.py --query "Compare our 2025 fiscal year report against current public web news" \
--file-search-store "fileSearchStores/my-store-name"Stream Progress
scripts/deep_research.py --query "Your research topic" --streamOutput
The script saves results to timestamped files:
deep-research-YYYY-MM-DD-HH-MM-SS.md- Final report in markdowndeep-research-YYYY-MM-DD-HH-MM-SS.json- Full interaction metadata
API Details
- Endpoint:
https://generativelanguage.googleapis.com/v1beta/interactions - Agent:
deep-research-pro-preview-12-2025 - Auth:
x-goog-api-keyheader (NOT OAuth Bearer token)
Limitations
- Requires Gemini API key (get from Google AI Studio)
- Does NOT work with Antigravity OAuth authentication
- Long-running tasks (minutes to hours depending on complexity)
- May incur API costs depending on your quota
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.