data-analysis
Data analysis and interpretation — tabular data, trend identification, statistical summaries, comparisons, chart recommendations, anomaly detection.
databricks-core-workflow-a
Execute Databricks primary workflow: Delta Lake ETL pipelines. Use when building data ingestion pipelines, implementing medallion architecture, or creating Delta Lake transformations. Trigger with phrases like "databricks ETL", "delta lake pipeline", "medallion architecture", "databricks data pipeline", "bronze silver gold".
databricks-data-handling
Implement Delta Lake data management patterns including GDPR, PII handling, and data lifecycle. Use when implementing data retention, handling GDPR requests, or managing data lifecycle in Delta Lake. Trigger with phrases like "databricks GDPR", "databricks PII", "databricks data retention", "databricks data lifecycle", "delete user data".
openevidence-migration-deep-dive
Execute complex OpenEvidence migrations including EHR integration, data migration, and system transitions. Use when migrating from legacy clinical decision support systems, integrating with new EHRs, or performing major platform transitions. Trigger with phrases like "openevidence migration", "ehr integration", "migrate to openevidence", "clinical ai migration", "legacy cds migration".
chart-visualization
Recommend and generate appropriate data visualizations using GPT-Vis syntax. Supports 25 chart types including statistical charts (line, column, bar, pie, area, scatter, dual-axes, histogram, boxplot, radar, funnel, waterfall, liquid, word-cloud, violin, venn, treemap), flow charts (sankey, flow-diagram), relation charts (mindmap, indented-tree, network-graph, organization-chart), and data display (table, summary). Provides workflow from intent recognition to chart selection, syntax generation, and code generation for HTML, React, or Vue.
complete-example
AI 增强版 LaTeX 示例智能生成器，实现 AI 与硬编码的有机融合。AI 做"语义理解"（分析章节主题、推理资源相关性、生成连贯叙述），硬编码做"结构保护"（格式验证、哈希校验、访问控制）。用于用户要求"填充示例内容/生成示例/补充 LaTeX 示例"等场景。
vertex-ai
Primary Router for Vertex AI skills. Use this skill when the user wants to work with Google Cloud Vertex AI (e.g., deploying models, running inference, or tuning models). This skill routes to vertex-deploy, vertex-inference, or vertex-tuning.
vertex-tuning
Vertex AI Model Tuning. Use when you need to fine-tune models using Vertex AI's infrastructure.
omics-target-evidence-mapper
Aggregate public target-level evidence across omics and translational sources for research triage.
equity-scorer
Compute HEIM diversity and equity metrics from VCF or ancestry data. Generates heterozygosity, FST, PCA plots, and a composite HEIM Equity Score with markdown reports.
data-extractor
Extract numerical data from scientific figure images using Claude vision + OpenCV calibration. Supports 26+ plot types including bar charts, scatter plots, forest plots, Kaplan-Meier curves, box plots, and more.
bio-orchestrator
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
proteomics-de
Differential expression analysis for label-free quantitative (LFQ) intensity data with standard MaxQuant and DIA-NN output. Workflow includes preprocessing, imputation, and statistical testing.
seq-wrangler
Sequence QC, alignment, and BAM processing. Wraps FastQC, BWA/Bowtie2, SAMtools for automated read-to-BAM pipelines.
codex-claude-loop
Orchestrates a dual-AI engineering loop where Claude Code plans and implements, while Codex validates and reviews, with continuous feedback for optimal code quality
codex-claude-cursor-loop
Orchestrates a triple-AI engineering loop where Claude plans, Codex validates logic and reviews code, and Cursor implements, with continuous feedback for optimal code quality