jimmc414/kosmos/research-lookup

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Look up current research information using Perplexity's Sonar Pro or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.

Install

npx vskill@latest install jimmc414/kosmos/research-lookup

SKILL.md

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 (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

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 relevant papers and studies for citation in manuscripts:

Query Examples:
- "Foundational papers on transformer architecture"
- "Seminal works in quantum computing"
- "Key studies on climate change mitigation"
- "Landmark trials in cancer immunotherapy"

Expected Response Format:

  • 5-10 most influential or relevant papers
  • Complete citation information (authors, title, journal, year, DOI)
  • Brief description of each paper's contribution
  • Citation impact metrics when available (h-index, citation count)
  • Journal impact factors and rankings

Automatic Model Selection

This skill features intelligent model selection based on query complexity:

Model Types

1. Sonar Pro (perplexity/sonar-pro)

  • Use Case: Straightforward information lookup
  • Best For:
  • Simple fact-finding queries
  • Recent publication searches
  • Basic protocol lookups
  • Statistical data retrieval
  • Speed: Fast responses
  • Cost: Lower cost per query

2. Sonar Reasoning Pro (perplexity/sonar-reasoning-pro)

  • Use Case: Complex analytical queries requiring deep reasoning
  • Best For:
  • Comparative analysis ("compare X vs Y")
  • Synthesis of multiple studies
  • Evaluating trade-offs or controversies
  • Explaining mechanisms or relationships
  • Critical analysis and interpretation
  • Speed: Slower but more thorough
  • Cost: Higher cost per query, but provides deeper insights
Complexity Assessment

The skill automatically detects query complexity using these indicators:

Reasoning Keywords (triggers Sonar Reasoning Pro):

  • Analytical: compare, contrast, analyze, analysis, evaluate, critique
  • Comparative: versus, vs, vs., compared to, differences between, similarities
  • Synthesis: meta-analysis, systematic review, synthesis, integrate
  • Causal: mechanism, why, how does, how do, explain, relationship, causal relationship, underlying mechanism
  • Theoretical: theoretical framework, implications, interpret, reasoning
  • Debate: controversy, conflicting, paradox, debate, reconcile
  • Trade-offs: pros and cons, advantages and disadvantages, trade-off, tradeoff, trade offs
  • Complexity: multifaceted, complex interaction, critical analysis

Complexity Scoring:

  • Reasoning keywords: 3 points each (heavily weighted)
  • Multiple questions: 2 points per question mark
  • Complex sentence structures: 1.5 points per clause indicator (and, or, but, however, whereas, although)
  • Very long queries: 1 point if >150 characters
  • Threshold: Queries scoring ≥3 points trigger Sonar Reasoning Pro

Practical Result: Even a single strong reasoning keyword (compare, explain, analyze, etc.) will trigger the more powerful Sonar Reasoning Pro model, ensuring you get deep analysis when needed.

Example Query Classification:

✅ Sonar Pro (straightforward lookup):

  • "Recent advances in CRISPR gene editing 2024"
  • "Prevalence of diabetes in US population"
  • "Western blot protocol for protein detection"

✅ Sonar Reasoning Pro (complex analysis):

  • "Compare and contrast mRNA vaccines vs traditional vaccines for cancer treatment"
  • "Explain the mechanism underlying the relationship between gut microbiome and depression"
  • "Analyze the controversy surrounding AI in medical diagnosis and evaluate trade-offs"
Manual Override

You can force a specific model using the force_model parameter:

python
# Force Sonar Pro for fast lookup
research = ResearchLookup(force_model='pro')
# Force Sonar Reasoning Pro for deep analysis
research = ResearchLookup(force_model='reasoning')
# Automatic selection (default)
research = ResearchLookup()

Command-line usage:

bash
# Force Sonar Pro
python research_lookup.py "your query" --force-model pro
# Force Sonar Reasoning Pro
python research_lookup.py "your query" --force-model reasoning
# Automatic (no flag)
python research_lookup.py "your query"

Technical Integration

OpenRouter API Configuration

This skill integrates with OpenRouter (openrouter.ai) to access Perplexity's Sonar models:

Model Specifications:

  • Models:
  • perplexity/sonar-pro-online (fast lookup)
  • perplexity/sonar-reasoning-pro-online (deep analysis)
  • Search Mode: Academic/scholarly mode (prioritizes peer-reviewed sources)
  • Context Window: 200K+ tokens for comprehensive research
  • Capabilities: Academic paper search, citation generation, scholarly analysis
  • Output: Rich responses with citations and source links from academic databases

API Requirements:

  • OpenRouter API key (set as OPENROUTER_API_KEY environment variable)
  • Account with sufficient credits for research queries
  • Proper attribution and citation of sources

Academic Mode Configuration:

  • System message configured to prioritize scholarly sources
  • Search focused on peer-reviewed journals and academic publications
  • Enhanced citation extraction for academic references
  • Preference for recent academic literature (2020-2024)
  • Direct access to academic databases and repositories
Response Quality and Reliability

Source Verification: The skill prioritizes:

  • Peer-reviewed academic papers and journals
  • Reputable institutional sources (universities, government agencies, NGOs)
  • Recent publications (within last 2-3 years preferred)
  • High-impact journals and conferences
  • Primary research over secondary sources

Citation Standards: All responses include:

  • Complete bibliographic information
  • DOI or stable URLs when available
  • Access dates for web sources
  • Clear attribution of direct quotes or data

Query Best Practices

1. Model Selection Strategy

For Simple Lookups (Sonar Pro):

  • Recent papers on a specific topic
  • Statistical data or prevalence rates
  • Standard protocols or methodologies
  • Citation finding for specific papers
  • Factual information retrieval

For Complex Analysis (Sonar Reasoning Pro):

  • Comparative studies and synthesis
  • Mechanism explanations
  • Controversy evaluation
  • Trade-off analysis
  • Theoretical frameworks
  • Multi-faceted relationships

Pro Tip: The automatic selection is optimized for most use cases. Only use force_model if you have specific requirements or know the query needs deeper reasoning than detected.

2. Specific and Focused Queries

Good Queries (will trigger appropriate model):

  • "Randomized controlled trials of mRNA vaccines for cancer treatment 2023-2024" → Sonar Pro
  • "Compare the efficacy and safety of mRNA vaccines vs traditional vaccines for cancer treatment" → Sonar Reasoning Pro
  • "Explain the mechanism by which CRISPR off-target effects occur and strategies to minimize them" → Sonar Reasoning Pro

Poor Queries:

  • "Tell me about AI" (too broad)
  • "Cancer research" (lacks specificity)
  • "Latest news" (too vague)
3. Structured Query Format

Recommended Structure:

[Topic] + [Specific Aspect] + [Time Frame] + [Type of Information]

Examples:

  • "CRISPR gene editing + off-target effects + 2024 + clinical trials"
  • "Quantum computing + error correction + recent advances + review papers"
  • "Renewable energy + solar efficiency + 2023-2024 + statistical data"
4. Follow-up Queries

Effective Follow-ups:

  • "Show me the full citation for the Smith et al. 2024 paper"
  • "What are the limitations of this methodology?"
  • "Find similar studies using different approaches"
  • "What controversies exist in this research area?"

Integration with Scientific Writing

This skill enhances scientific writing by providing:

  1. Literature Review Support: Gather current research for introduction and discussion sections
  2. Methods Validation: Verify protocols and procedures against current standards
  3. Results Contextualization: Compare findings with recent similar studies
  4. Discussion Enhancement: Support arguments with latest evidence
  5. Citation Management: Provide properly formatted citations in multiple styles

Error Handling and Limitations

Known Limitations:

  • Information cutoff: Responses limited to training data (typically 2023-2024)
  • Paywall content: May not access full text behind paywalls
  • Emerging research: May miss very recent papers not yet indexed
  • Specialized databases: Cannot access proprietary or restricted databases

Error Conditions:

  • API rate limits or quota exceeded
  • Network connectivity issues
  • Malformed or ambiguous queries
  • Model unavailability or maintenance

Fallback Strategies:

  • Rephrase queries for better clarity
  • Break complex queries into simpler components
  • Use broader time frames if recent data unavailable
  • Cross-reference with multiple query variations

Usage Examples

This is the start of the file. Read the full SKILL.md on GitHub.

Security

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Source

Popularity

Repository stars
508
Repository forks
94
7-day trend score
31

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 3 May 2026, 6 months ago.

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