For Researchers & Scientists

For Researchers & Scientists

Build AI agents that automate literature review, data analysis, and hypothesis generation — saving weeks of manual research work.

Your Pain Points

• ❌ Literature reviews take weeks of manual reading and synthesis
• ❌ Data analysis pipelines are fragile and time-consuming
• ❌ Hypothesis generation relies on manual cross-referencing
• ❌ Keeping up with new publications is overwhelming
• ❌ Reproducibility requires extensive documentation

What You Can Build

🎯 Quick Win: Literature Review Agent (15 minutes)

ROI: 10x faster literature synthesis

Skills: 2 skills

pubmed_search → paper_summarizer

What it does:

• Automatically searches PubMed for relevant papers
• Generates structured summaries of findings
• Identifies key citations and methodologies
• Exports organized bibliography

Time saved: 2-3 weeks → 2-3 hours per literature review

See implementation guide →

🚀 High-Impact: Research Pipeline Agent (1 hour)

ROI: Complete research workflow automation

Skills: 5 skills

pubmed_search → paper_summarizer → hypothesis_generator →
experimental_design → data_analyzer

What it does:

• Automated literature discovery and synthesis
• AI-powered hypothesis generation from existing research
• Experimental design recommendations
• Statistical analysis and visualization
• Reproducible research pipeline

Impact:

• Accelerate discovery phase by 5-10x
• Generate novel hypotheses from literature
• Reproducible analysis pipelines

See step-by-step recipe →

💼 Enterprise: Drug Discovery Agent (Half day)

ROI: Months of analysis in days

Skills: 8 skills

uniprot_search → protein_structure_analyzer → drug_target_identifier →
compound_similarity_search → molecular_docking → toxicity_predictor →
clinical_trial_analyzer → regulatory_pathway_mapper

What it does:

• Target identification from protein databases
• Structure-based drug design
• Compound screening and optimization
• Toxicity and safety prediction
• Clinical trial analysis and regulatory planning

Impact:

• Compress early discovery from months to days
• Data-driven target selection
• Automated compound optimization

Top 10 Skills for Researchers

Literature & Discovery

1. pubmed_search — Automated PubMed queries with filters
2. paper_summarizer — Extract key findings and methods
3. citation_mapper — Build citation networks

Data Analysis

4. statistical_analyzer — Automated statistical tests
5. data_visualizer — Generate publication-ready plots
6. reproducibility_checker — Validate analysis pipelines

Bioinformatics

7. uniprot_search — Protein database queries
8. sequence_alignment — Multiple sequence alignment
9. protein_structure_analyzer — AlphaFold integration

Drug Discovery

10. drug_target_identifier — Identify therapeutic targets

Browse all 141 scientific skills →

Real Results

Case Study: Academic Research Lab

Lab: Cancer biology lab, 5 researchers Challenge: Manually reviewing 50+ papers/week, slow hypothesis generation

Solution: Deployed literature review → hypothesis generation chain

Results:

• ⚡ Literature review time: 3 weeks → 6 hours
• 📈 Papers synthesized: 50/week → 200/week
• 💡 Novel hypotheses: 2x increase in generated ideas
• 🎯 Grant success: Faster background research for proposals
• 📊 Publication rate: 3 papers/year → 5 papers/year

Time saved: 20 hours/week per researcher

Common Skill Chains for Research

Literature Review & Synthesis

pubmed_search → paper_summarizer → citation_mapper → hypothesis_generator

Use when: Starting new research direction, writing grants

Protein Analysis Pipeline

uniprot_search → sequence_alignment → protein_structure_analyzer →
binding_site_predictor

Use when: Analyzing protein targets, structure-function studies

Drug Discovery Workflow

drug_target_identifier → compound_similarity_search → molecular_docking →
toxicity_predictor

Use when: Target-based drug discovery, lead optimization

Data Analysis & Visualization

data_cleaner → statistical_analyzer → data_visualizer → reproducibility_checker

Use when: Analyzing experimental data, preparing publications

Clinical Research

clinical_trial_analyzer → patient_cohort_matcher → outcome_predictor →
regulatory_pathway_mapper

Use when: Clinical study design, translational research

Getting Started

Step 1: Install Research Skills

npm install @skene/skills-directory
npx skills-directory install --target all

Step 2: Choose Your Quick Win

Pick the quick win that matches your time investment:

• 15 minutes: Literature Review Agent
• 1 hour: Research Pipeline Agent
• Half day: Drug Discovery Agent

Step 3: Deploy & Iterate

• Connect to research databases (PubMed, UniProt, etc.)
• Run on sample dataset or query
• Validate results against manual review
• Integrate into research workflow

ROI Calculator

Your Lab:

• Researchers: _
• Hours/week on literature review: _
• Hours/week on data analysis: _
• Average hourly cost: $_

With Research Agents:

• Literature review time: 80% reduction
• Data analysis time: 60% reduction
• Time saved/week: _ hours
• Cost savings/month: _ hours × 4 weeks × $_____ = $_**/month**
• Annual savings: $_/year

Typical Results:

• Small lab (3-5 researchers): $10K-$20K/year saved
• Medium lab (10-15 researchers): $40K-$80K/year saved
• Large lab (20+ researchers): $100K+/year saved

Research Tool Integrations

Our scientific skills integrate with leading research platforms:

✅ PubMed/NCBI — Literature search and retrieval ✅ UniProt — Protein sequence and function databases ✅ AlphaFold — Protein structure prediction ✅ ChEMBL — Bioactive molecule database ✅ ClinicalTrials.gov — Clinical trial data ✅ PDB — Protein Data Bank queries ✅ BLAST — Sequence similarity search ✅ STRING — Protein-protein interaction networks

Each skill uses official APIs and follows best practices for reproducibility.

Supported Research Domains

Biomedical Research

• Drug discovery and development
• Target identification and validation
• Biomarker discovery

Molecular Biology

• Sequence analysis
• Protein structure and function
• Gene expression analysis

Clinical Research

• Clinical trial design
• Patient cohort analysis
• Outcome prediction

Computational Biology

• Systems biology modeling
• Network analysis
• Multi-omics integration

Chemistry

• Compound screening
• Structure-activity relationships
• Toxicity prediction

Next Steps

1. Quick Win: Start with literature review agent (15 min)
2. Explore: Browse all research skill chains
3. Community: Share your research workflows
4. Scale: Build custom research pipelines

Additional Resources

• Complete Skills Directory — Browse all 141 scientific skills
• Skill Chain Cookbook — 36+ ready-to-use recipes (includes Recipe 33: Scientific Research Synthesis)
• Playbooks — Niche playbooks and exact data to wire
• Value & ROI Guide — Detailed ROI calculations
• Security Best Practices — Data security for research

Ready to 10x your research velocity? Install now and deploy your first agent in 15 minutes.

npm install @skene/skills-directory