OpenAgentSkill Registry Manifest
Skill: arboreto
Slug: k-dense-ai-arboreto
Category: data-analysis
Description: 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.

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: Workflow automation
- Role: Primary pick

Supply profile:
- Track: Coding and developer agents
- Scenario: GitHub automation
- Applicable agents: Claude Code, CLI, Codex, Cursor
- Maintenance: 2d since push
- Risk: Needs review

Trust:
- Trust score: 83/100 Strong shortlist
- Audit: 88/100 Needs review

Attribution:
- Status: Registry indexed
- Source: recursive skill source sync
- Creator: K-Dense-AI
- Claim URL: https://www.openagentskill.com/skills/k-dense-ai-arboreto#claim-this-skill

Install:
npx skills add K-Dense-AI/scientific-agent-skills --skill arboreto

URLs:
- Web: https://www.openagentskill.com/skills/k-dense-ai-arboreto
- API: https://www.openagentskill.com/api/agent/skills/k-dense-ai-arboreto
- Install API: https://www.openagentskill.com/api/skills/k-dense-ai-arboreto/install
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/arboreto