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name: deep_research description: Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context). usage_trigger: Use when the user asks for "research", "paper analysis", "fact checking", "academic review", or "uncertainty analysis".

🔬 Deep Research Skill

Capabilities

This skill leverages specific Gemini Research features to provide higher-fidelity analysis than standard chat.

1. Uncertainty Quantification (Logprobs):

   • When analyzing complex topics, this skill checks the logprobs of the generated tokens.
   • It highlights statements where the model's confidence is low, preventing hallucinations.

2. Rigorous Citations (CitationMetadata):

   • Enforces strict citation extraction using groundingMetadata.

3. Long-Context Synthesis:

   • Optimized for ingesting full PDF papers or large text dumps (up to 2M tokens).

Instructions

For Paper Analysis

1. Ingest: Read the full content of the file.
2. Analyze: Use the configured Pro model (currently gemini-3-pro-preview) with thinking_level="HIGH".
3. Output: structured report with:
   • Core Thesis: What is the paper claiming?
   • Methodology Evaluation: Is it sound?
   • Confidence Score: Based on Logprobs (simulated or actual if access permits).
   • Novelty Assessment: How does this comparing to existing literature?

For Fact Checking

1. Activate google_search tool.
2. Cross-reference claims.
3. Explicitly list CitationMetadata sources.

Python Helper (Concept)

Use visions/core/visions_backend.py to access the raw client if you need to inspect response.candidates[0].logprobs.