Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 5,809–5,832 of 13,095 skills
Create a DataSource note documenting a specific database, table, API endpoint, dataset, or data entity with schema, quality metrics, and access information.
Convert CSV files to Page notes with markdown tables (no truncation)
对单细胞 RNA-seq 数据(.h5ad 或 .h5 文件)执行质控,使用 scverse 最佳实践的 MAD 过滤和综合可视化。适用于 QC 分析、低质量细胞过滤、数据质量评估或遵循 scverse/scanpy 单细胞分析最佳实践。
Analyze workforce data — attrition, engagement, diversity, and productivity. Trigger with "attrition rate", "turnover analysis", "diversity metrics", "engagement data", "retention risk", or when the user wants to understand workforce trends from HR data.
Write and maintain knowledge base articles from resolved support issues. Use when a ticket has been resolved and the solution should be documented, when updating existing KB articles, or when creating how-to guides, troubleshooting docs, or FAQ entries. Does NOT handle knowledge base system administration (deleting, migrating platforms) or non-documentation tasks.
使用 Chart.js 构建自包含的交互式 HTML 仪表盘,支持下拉筛选和专业样式。适用于创建仪表盘、交互式报告或生成无需服务器即可运行的可分享 HTML 文件。
Configure normalization layers for Tent by exposing only affine modulation parameters and target batch statistics.
Run and validate Tent-style entropy minimization updates on unlabeled target batches with trainable modulation parameters.
Evaluate MAS in a bounded sequential-learning recovery and report forgetting plus mechanism checks.
Run deterministic two-time-scale update traces for GAN-style min-max proxy dynamics.
Compute the Fréchet Gaussian distance used by FID with stable numerical handling.
Compute FID-style activation mean/covariance summaries for generated or real feature matrices.
Use this skill to run the weighted kernel-density Particle Mirror Descent prox update loop with stochastic likelihood factors, normalized weights, Gaussian kernels, and trace logging.
Validate simulator, prior, observation, and simulation-record contracts for simulation-based inference recovery workflows.
"Use ZhuSuan's distributions, BayesianNet, MetaBayesianNet, and
"Use ZhuSuan for HMC, SGLD, PSGLD, SGHMC, SGNHT, annealed
"Use this YOLOv5 sub-skill for model export, deployment formats,
"Use this skill for clone-run Ultralytics YOLOv5 workflows:
"Use Yellowbrick dataset loaders, cache controls, and text
"Use Yellowbrick experimental contrib visualizers, missing-data
"Guides WorldGen workflows for generating 3D scenes from text,
"Routes legacy VAE-family MNIST scripts, backend choices, model
"Routes legacy binary RBM examples, CD versus PCD decisions,
"Routes the legacy binary Helmholtz Machine wake-sleep example,