Agent Skills: geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
ID: obinopaul/agents-backend/geniml
21
Install this agent skill to your local
Skill Files
The files that make up geniml.
Loading file tree…
More agent skills
- web-design-guidelinesReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", "check my site against best practices", or "web interface guidelines".
- conductor-new-trackCreate a new track with specification and phased implementation plan
- web-scraping-automation自动化爬取网站数据和 API 接口。当用户需要抓取网页内容、调用 API、解析数据或创建爬虫脚本时使用此技能。
- 1k-performancePerformance optimization for React/React Native — re-renders, memoization, FlashList, memory leaks, and bundle size.
- triaging-issuesTriages GitHub issues by routing to oncall teams, applying labels, and closing questions. Use when processing new PyTorch issues or when asked to triage an issue.
- meteorology-driver-classificationClassify environmental and meteorological variables into driver categories for attribution analysis. Use when you need to group multiple variables into meaningful factor categories.