research-lookup

Files (7)

• SKILL.md
• examples.cpython-313.pyc · scripts/__pycache__/
• lookup.cpython-313.pyc · scripts/__pycache__/
• research_lookup.cpython-313.pyc · scripts/__pycache__/
• examples.py · scripts/
• lookup.py · scripts/
• research_lookup.py · scripts/

SKILL.md (first lines)

# Research Information Lookup

## Overview

This skill enables real-time research information lookup using Perplexity's Sonar models through OpenRouter. It intelligently selects between **Sonar Pro Search** (fast, efficient lookup) and **Sonar Reasoning Pro** (deep analytical reasoning) based on query complexity. The skill provides access to current academic literature, recent studies, technical documentation, and general research information with proper citations and source attribution.

## When to Use This Skill

Use this skill when you need:

- **Current Research Information**: Latest studies, papers, and findings in a specific field
- **Literature Verification**: Check facts, statistics, or claims against current research
- **Background Research**: Gather context and supporting evidence for scientific writing
- **Citation Sources**: Find relevant papers and studies to cite in manuscripts
- **Technical Documentation**: Look up specifications, protocols, or methodologies
- **Recent Developments**: Stay current with emerging trends and breakthroughs
- **Statistical Data**: Find recent statistics, survey results, or research findings
- **Expert Opinions**: Access insights from recent interviews, reviews, or commentary

## Visual Enhancement with Scientific Schematics

**When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.**

If your document does not already contain schematics or diagrams:
- Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic

**For new documents:** Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text.

**How to generate schematics:**
```bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
```

The AI will automatically:
- Create publication-quality images with proper formatting
- Review and refine through multiple iterations
- Ensure accessibility (colorblind-friendly, high contrast)
- Save outputs in the figures/ directory

**When to add schematics:**
- Research information flow diagrams
- Query processing workflow illustrations
- Model selection decision trees
- System integration architecture diagrams
- Information retrieval pipeline visualizations
- Knowledge synthesis frameworks
- Any complex concept that benefits from visualization

For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.

---

## Core Capabilities

### 1. Academic Research Queries

**Search Academic Literature**: Query for recent papers, studies, and reviews in specific domains:

```
Query Examples:
- "Recent advances in CRISPR gene editing 2024"
- "Latest clinical trials for Alzheimer's disease treatment"
- "Machine learning applications in drug discovery systematic review"
- "Climate change impacts on biodiversity meta-analysis"
```

**Expected Response Format**:
- Summary of key findings from recent literature
- Citation of 3-5 most relevant papers with authors, titles, journals, and years
- Key statistics or findings highlighted
- Identification of research gaps or controversies
- Links to full papers when available

### 2. Technical and Methodological Information

**Protocol and Method Lookups**: Find detailed procedures, specifications, and methodologies:

```
Query Examples:
- "Western blot protocol for protein detection"
- "RNA sequencing library preparation methods"
- "Statistical power analysis for clinical trials"
- "Machine learning model evaluation metrics"
```

**Expected Response Format**:
- Step-by-step procedures or protocols
- Required materials and equipment
- Critical parameters and considerations
- Troubleshooting common issues
- References to standard protocols or seminal papers

### 3. Statistical and Data Information

**Research Statistics**: Look up current statistics, survey results, and research data:

```
Query Examples:
- "Prevalence of diabetes in US population 2024"
- "Global renewable energy adoption statistics"
- "COVID-19 vaccination rates by country"
- "AI adoption in healthcare industry survey"
```

**Expected Response Format**:
- Current statistics with dates and sources
- Methodology of data collection
- Confidence intervals or margins of error when available
- Comparison with previous years or benchmarks
- Citations to original surveys or studies

### 4. Citation and Reference Assistance

**Citation Finding**: Locate the most influential, highly-cited papers from reputable authors and prestigious venues:

```
Query Examples:

From lamm-mit/scienceclaw, Apache-2.0.

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