Detalle del Skill
deep-research
Autonomous multi-step deep research with web and file context.
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SKILL.md
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--- name: deep-research description: "Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search, file/directory context, and resilient streaming." --- # 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-genai` SDK v0.3.0+ ## Usage ### Basic Research Start a research task and stream the results to the console. ```bash 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):** ```bash # 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. ```bash 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. ```bash 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). ```bash uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE" ``` ## References * [Online Documentation](references/online_docs.md) ## How it Works 1. **Planning**: The agent breaks down your prompt into steps. 2. **Execution**: It autonomously searches the web and reads your provided files. 3. **Resilience**: The script automatically reconnects if the long-running stream drops. 4. **Synthesis**: It produces a comprehensive, cited report.Leer la fuente completa en GitHub (abre una página externa)