bio-stats-ml-reporting
Aggregate results, train ML models, and produce reports with validated references.
npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-stats-ml-reporting --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bio Stats ML Reporting Aggregate results, train ML models, and produce reports with validated references. ## Instructions 1. Join outputs in DuckDB v1.1+ and build feature tables. Arrow / DuckLake integration is the recommended bridge into ML pipelines for large datasets. 2. Train baseline models and evaluate with cross-validation. - CPU baseline: scikit-learn v1.5+ for linear/tree/clustering baselines; XGBoost v2.1.4+ for gradient boosting. - GPU node available (CUDA): set `device="cuda"` on XGBoost (native since v2.0) by default. For sklearn-compatible estimators (random forest, k-means, PCA, UMAP), use **RAPIDS cuML** as a drop-in replacement and record the device in the run log. 3. Generate reports and validate references. 4. For exploratory omics projects, aggregate discovery evidence across the literature-derived analysis playbook, annotation, phylogenomics, viromics, and comparative-genomics outputs. 5. **Comparative-axes rollup** — join the per-axis comparison artifacts produced by upstream skills into a single `comparative_axes_summary.tsv`. The rollup must have one row per (query genome, axis) and include: - `genome-property frontier` (size, gene count, etc. — link to `
- Instructions
- Quick Reference
- Input Requirements
- Output
- Quality Gates
- Examples
- Example 1: Expected input layout
- Troubleshooting
What does the bio-stats-ml-reporting skill do?
Aggregate results, train ML models, and produce reports with validated references.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill bio-stats-ml-reporting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.