Skill comparison
Compare agent skills before installing.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
arboreto is the strongest overall pick here because it has a 100/100 readiness score and fits Workflow automation.
Strongest overall
arboreto
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
arboreto
Best first install candidate based on install readiness and adoption.
Freshest repo
arboreto
Most recent maintenance signal among this shortlist.
| Signal | arboreto Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets. |
|---|---|
| Quality | 92/100 Excellent |
| Decision verdict | 100/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 34K stars Verified outcomes are shown on each skill page |
| Freshness | Aug 20, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Workflow automation workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add K-Dense-AI/scientific-agent-skills --skill arboreto |