research-lookup

Files (6)

• README.md
• SKILL.md
• examples.py
• lookup.py
• research_lookup.py
• research_lookup.py · scripts/

SKILL.md (first lines)

# Research Information Lookup

## Overview

This skill provides real-time research information lookup with **intelligent backend routing**:

- **Parallel Chat API** (`core` model): Default backend for all general research queries. Provides comprehensive, multi-source research reports with inline citations via the OpenAI-compatible Chat API at `https://api.parallel.ai`.
- **Perplexity sonar-pro-search** (via OpenRouter): Used only for academic-specific paper searches where scholarly database access is critical.

The skill automatically detects query type and routes to the optimal backend.

## When to Use This Skill

Use this skill when you need:

- **Current Research Information**: Latest studies, papers, and findings
- **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
- **Technical Documentation**: Look up specifications, protocols, or methodologies
- **Market/Industry Data**: Current statistics, trends, competitive intelligence
- **Recent Developments**: Emerging trends, breakthroughs, announcements

## 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

```bash
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
```

---

## Automatic Backend Selection

The skill automatically routes queries to the best backend based on content:

### Routing Logic

```
Query arrives
    |
    +-- Contains academic keywords? (papers, DOI, journal, peer-reviewed, etc.)
    |       YES --> Perplexity sonar-pro-search (academic search mode)
    |
    +-- Everything else (general research, market data, technical info, analysis)
            --> Parallel Chat API (core model)
```

### Academic Keywords (Routes to Perplexity)

Queries containing these terms are routed to Perplexity for academic-focused search:

- Paper finding: `find papers`, `find articles`, `research papers on`, `published studies`
- Citations: `cite`, `citation`, `doi`, `pubmed`, `pmid`
- Academic sources: `peer-reviewed`, `journal article`, `scholarly`, `arxiv`, `preprint`
- Review types: `systematic review`, `meta-analysis`, `literature search`
- Paper quality: `foundational papers`, `seminal papers`, `landmark papers`, `highly cited`

### Everything Else (Routes to Parallel)

All other queries go to the Parallel Chat API (core model), including:

- General research questions
- Market and industry analysis
- Technical information and documentation
- Current events and recent developments
- Comparative analysis
- Statistical data retrieval
- Complex analytical queries

### Manual Override

You can force a specific backend:

```bash
# Force Parallel Deep Research
python research_lookup.py "your query" --force-backend parallel

# Force Perplexity academic search
python research_lookup.py "your query" --force-backend perplexity
```

---

## Core Capabilities

### 1. General Research Queries (Parallel Chat API)

**Default backend.** Provides comprehensive, multi-source research with citations via the Chat API (`core` model).

```
Query Examples:
- "Recent advances in CRISPR gene editing 2025"
- "Compare mRNA vaccines vs traditional vaccines for cancer treatment"
- "AI adoption in healthcare industry statistics"
- "Global renewable energy market trends and projections"
- "Explain the mechanism underlying gut microbiome and depression"
```

**Response includes:**
- Comprehensive research report in markdown
- Inline citations from authoritative web sources
- Structured sections with key findings
- Multiple perspectives and data points
- Source URLs for verification

### 2. Academic Paper Search (Perplexity sonar-pro-search)

**Used for academic-specific queries.** Prioritizes scholarly databases and peer-reviewed sources.

```
Query Examples:
- "Find papers on transformer attention mechanisms in NeurIPS 2024"
- "Foundational papers on quantum error correction"

From qinyan-ai/qinyan-academic-skills, MIT.

More from qinyan-ai/qinyan-academic-skills