Data & Analytics

基于Hyperliquid成功实现经验，为新交易所供应商提供Yuan框架集成指南。使用此技能当需要为新的交易所创建供应商实现，包括项目结构设计、API集成、核心服务实现和最佳实践。适用于交易所API集成、金融系统开发、微服务架构设计。

Annotate VCF variants with Ensembl VEP, ClinVar, and gnomAD. Ranks variants by impact (HIGH/MODERATE/LOW/MODIFIER) and generates a reproducible report.

Prepare for US medical licensing exams with progress tracking, weak area analysis, question bank management, and residency match planning.

Simple operations on user-provided text files including summarization.

Ensure bidirectional traceability between requirements, hazards/risks, design, code, tests, and anomalies for medical device software.

Run SQL queries against the WordPress development database. Use when querying database tables, inspecting Simple History events, checking WordPress data, or debugging database issues.

Load when estimating RNA velocity on a spatial AnnData with `layers["spliced"]` + `layers["unspliced"]`

Load when inferring pseudotime / lineage trajectories on a preprocessed spatial AnnData via

Load when running spatial autocorrelation / hotspot / co-occurrence / neighbourhood-enrichment

Load when aligning multiple spatial slices into a common coordinate frame on a multi-slice

Load when converting spatial transcriptomics raw FASTQ pairs through ST-Pipeline into a `raw_counts.h5ad`

Load when running the foundational spatial transcriptomics QC + filtering + normalisation

Load when extracting a niche / microenvironment subset around a center cell-type by spatial

Load when removing batch effects across multiple spatial samples on a multi-batch spatial

Load when ranking spatially variable genes (SVGs) on a preprocessed spatial AnnData via Moran's

Load when running pathway / gene-set enrichment per cluster on a preprocessed spatial AnnData

Load when detecting tissue domains / niches on a preprocessed spatial AnnData via Leiden

Load when deconvolving spot-level cell-type proportions on a Visium-style spatial AnnData

Load when ranking spatial cluster markers or comparing two spatial groups in spatial transcriptomics.

Load when comparing two or more experimental conditions (treatment vs control) on a multi-sample

Load when computing ligand-receptor cell-cell communication on a preprocessed spatial AnnData

Load when inferring copy-number variation per spot on a preprocessed spatial AnnData with

Load when assigning per-spot cell-type labels on a spatial AnnData via marker-gene scoring

Load when preprocessing a single-cell ATAC peak × cell AnnData via Signac-style TF-IDF +