Deep Research
Use this skill to conduct deep, autonomous research tasks that require planning, searching, reading, and synthesizing information.
This skill uses the Gemini Deep Research Agent (deep-research-pro-preview-12-2025) via the Interactions API.
Prerequisites
GOOGLE_API_KEY: Required for accessing the Interactions API (currently in Preview via AI Studio).google-genaiSDK v0.3.0+
Usage
Basic Research
Start a research task and stream the results to the console.
uv run skills/deep-research/scripts/research.py "Research the history of RISC-V architecture."
Research with Context (Files or Directories)
Provide local files (PDFs, text) or entire directories for the agent to read and incorporate into its research.
Direct Upload (Best for specific docs):
# Single file
uv run skills/deep-research/scripts/research.py "Analyze this report" --file report.pdf
# Entire directory
uv run skills/deep-research/scripts/research.py "Summarize these meeting notes" --file ./notes/
File Search Store (Best for large corpora):
Use --use-file-store to index files into a searchable store (RAG) instead of uploading them into the context window.
uv run skills/deep-research/scripts/research.py "Find trends in these 1000 PDFs" --file ./large_corpus/ --use-file-store
Saving the Report
Save the final Markdown report to a file.
uv run skills/deep-research/scripts/research.py "Competitive landscape of EV batteries" --output report.md
Continuing Research (Follow-up)
Ask follow-up questions to an existing research session using the Interaction ID (displayed at the start of the previous run).
uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE"
References
How it Works
- Planning: The agent breaks down your prompt into steps.
- Execution: It autonomously searches the web and reads your provided files.
- Resilience: The script automatically reconnects if the long-running stream drops.
- Synthesis: It produces a comprehensive, cited report.