Claude Code Plugins

Community-maintained marketplace

Feedback

deep_research

@Who-Visions/Visions-ai
0
0

Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

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.