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Execute qualquer Skill no Manus com um clique

deep-research

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Atualizado6 de fevereiro de 2026 às 21:44

Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search, file/directory context, and resilient streaming.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

cnemri

cnemri/google-genai-skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Cientistas de pesquisa em computação e informaçãoInformática e Matemática·SOC 15-1221

Cientistas de dadosSOC 15-2051

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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.

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

Online Documentation

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.

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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.

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

Online Documentation

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.