by @cnemri
Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search, file/directory context, and resilient streaming.
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.
GOOGLE_API_KEY: Required for accessing the Interactions API (currently in Preview via AI Studio).google-genai SDK v0.3.0+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."
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
Save the final Markdown report to a file.
uv run skills/deep-research/scripts/research.py "Competitive landscape of EV batteries" --output report.md
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"