Sciagent Skills
197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy. RNA-seq, single-cell, drug discovery, proteomics, and more. Powers OmicsHorizon.
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What is Sciagent Skills?
OmicsHorizon SciAgent Skills is a bioinformatics and life science skill library designed for Claude Code and AI agents. It provides 199 domain-specific skills covering RNA-seq, single-cell analysis, genomics, proteomics, drug discovery, cheminformatics, biostatistics, and multi-omics integration. The tool transforms AI coding agents into life sciences experts without requiring model fine-tuning—users simply plug in the skills and begin analyzing data.
Key features include purpose-driven analysis design where AI creates tailored workflows (SOPs) based on research objectives, automated generation of publication-ready visualizations and reports, multi-analysis integration for comparing results across conditions, and the ability to save workflows as reusable team research assets. The platform supports genomics (WGS/WES, variant calling, CNV, GWAS), scRNA-seq analysis (QC, normalization, clustering, marker gene discovery, trajectory inference), proteomics, drug discovery pipelines, and scientific writing.
OmicsHorizon is designed for computational biologists, bioinformaticians, life science researchers, PhD students, and research teams who need to analyze complex multi-omics data without specialized coding expertise. The web platform allows users to upload data and request analysis through AI chat, while the open-source skill library can be integrated directly into Claude Code, Codex CLI, Cursor, or Windsurf for local workflows.
The platform achieved 92.0% accuracy on BixBench-Verified-50, a benchmark for real-world bioinformatics tasks, representing a +26.7 percentage point improvement over baseline Claude Code without skills. This demonstrates the effectiveness of structured scientific knowledge prompts over fine-tuning approaches.
Sciagent Skills pricing
Pricing model: Freemium
Free tier available: Users can freely try a variety of analyses at no cost with generous usage limits. The website states 'You can freely try a variety of analyses at no cost' through the web platform. Paid plan pricing details are not explicitly disclosed on the public website—users must contact the company for enterprise plans and custom pricing. The Demo plan from related OmicsAgent platform (separate but related service) starts at $16 one-time for 15 compute hours and 1M tokens, Hobby at $119/month for 40 hours and 3M tokens, Professional at $339/month for 60 hours and 5M tokens, but these are for OmicsAgent not OmicsHorizon specifically.
Sciagent Skills pros
- No coding required—analyze data through web interface and AI chat
- 92.0% accuracy on BixBench bioinformatics benchmark
- 199 open-source bioinformatics and life science skills
- Supports RNA-seq, single-cell, genomics, proteomics, drug discovery
- AI automatically designs tailored analysis workflows (SOPs)
- Publication-ready visualizations and refined reports generated automatically
- Save workflows as reusable team research assets with one click
- Any team member can reproduce research results using saved workflows
- Integrates with Claude Code, Codex CLI, Cursor, and Windsurf
- Free tier available with generous usage limits for trying analyses
- No Linux, R, or Python knowledge needed
- Multi-omics integration and cross-condition comparison capabilities
- Built-in tools: Scanpy, BioPython, GATK, RDKit, PyMC, UMAP
- WGS/WES, variant calling, CNV, GWAS analysis on single platform
- scRNA-seq pipeline includes QC, clustering, marker genes, trajectory inference
Sciagent Skills cons
- Web platform primarily focused on omics data (not general bioinformatics)
- Open-source skills require AI agent setup (Claude Code, Cursor, etc.)
- Individual skills have their own package dependencies to install
- No standalone application—requires AI coding agent or web platform
- Limited to bioinformatics and life science domains only
- Pricing details for paid plans not publicly disclosed on website
- Enterprise plan requires contacting sales for custom pricing
- Benchmark results based on specific BixBench-Verified-50 dataset
Frequently asked questions about Sciagent Skills
Can I run analyses without any coding experience?
Yes—no coding required. You don't need to know Linux, R, or Python. Simply upload your data through the web interface and request analysis strategies via AI chat. From execution to interpretation, the entire process is handled automatically by the AI.
How is this different from ChatGPT or Gemini?
OmicsHorizon is specifically optimized for omics data analysis with 199 domain-specific bioinformatics skills. Unlike general chatbots, it achieves 92.0% accuracy on BixBench bioinformatics tasks through structured scientific knowledge prompts. It automatically generates publication-ready visualizations, saves workflows as reusable assets, and handles complex multi-omics analysis pipelines that general AI models cannot execute reliably.
Will my data be used to train AI models?
The website addresses this FAQ but the specific answer about data privacy and whether customer data trains AI models is not fully visible in the current page content. Users should contact OmicsHorizon directly for detailed data privacy policies.
Who owns the figures generated on this platform?
This is listed as an FAQ on the website, but the complete answer regarding figure ownership rights is not fully visible in the current page content. Users should check the terms of service or contact support for specific intellectual property details.
How is customer data protected?
Data security is listed as an FAQ on the website, but the detailed answer about encryption, compliance certifications, and data protection measures is not fully visible in the current page content. Contact OmicsHorizon for their complete security and privacy documentation.
What omics data types can OmicsHorizon analyze?
OmicsHorizon supports genomics (WGS/WES, variant calling SNV/Indel, CNV & structural variation, GWAS & fine mapping), transcriptomics (bulk RNA-seq, scRNA-seq with clustering, marker gene discovery, cell type annotation, trajectory inference), proteomics, and multi-omics integration. It can analyze genomes, transcriptomes, and proteomes.
Can I reproduce research results my team generated?
Yes. Anyone can perform the same analysis and reproduce research results. You can save analysis workflows as team research assets with one click, enabling consistent reuse across future studies. The saved SOPs (Standard Operating Procedures) ensure anyone on your team can replicate the exact analysis.
What benchmark performance does OmicsHorizon achieve?
OmicsHorizon powered by SciAgent-Skills achieved 92.0% accuracy on BixBench-Verified-50, the highest among all tested systems. This represents a +26.7 percentage point improvement over baseline Claude Code (Opus 4.6) which scored 65.3%, demonstrating that structured scientific skills without fine-tuning deliver superior bioinformatics performance.
How do I get started with OmicsHorizon?
You can explore the OmicsHorizon analysis environment through the live demo on their website. For the web platform, simply sign up and upload your data through the web interface, then request analysis strategies via AI chat. For local use, clone the SciAgent-Skills GitHub repository and integrate with Claude Code using the plugin: 'claude --plugin-dir /path/to/SciAgent-Skills'.
What analysis workflow steps does OmicsHorizon follow?
The platform follows 4 steps: (1) Purpose-driven analysis design—enter your research objective and AI designs a tailored SOP based on validated methodologies; (2) Reports for interpretation—high-quality visualizations and refined publication-ready reports help researchers focus on interpreting results; (3) Insight through multi-analysis integration—AI integrates and compares results across multiple conditions to reveal research direction; (4) Turn workflows into reusable assets—save meaningful SOPs with one click for consistent reuse in future studies.