Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
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Detect Neanderthal and Denisovan introgression segments from modern human genomes
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Fire when:
Do NOT fire when:
Between 1-4% of non-African modern human genomes derive from archaic hominins (Neanderthals, Denisovans). Identifying these segments matters for understanding human evolution, disease susceptibility, and immune adaptation. Three complementary methods exist (IBDmix, Sprime, hmmix), each with different strengths. This skill wraps all three behind a unified interface with a pure-Python fallback when external binaries are unavailable.
One skill, one task: detect and report archaic introgression segments. Does not perform downstream functional annotation of introgressed variants (chain with vcf-annotator for that).
# Run with IBDmix on VCF inputs
python archaic_introgression.py \
--input modern.vcf --archaic archaic.vcf \
--method ibdmix --output /tmp/introgression
# Run demo with synthetic data
python archaic_introgression.py --demo --output /tmp/introgression_demo
# Filter to specific samples
python archaic_introgression.py \
--input modern.vcf --archaic archaic.vcf \
--samples SAMPLE01,SAMPLE02 --output /tmp/introgression
# Adjust LOD threshold
python archaic_introgression.py \
--input modern.vcf --archaic archaic.vcf \
--lod 5.0 --output /tmp/introgression
python archaic_introgression.py --demo --output /tmp/introgression_demo
Runs on bundled examples/demo_modern.vcf (3 samples, 10 SNPs on chr22) and
examples/demo_archaic.vcf (1 Neanderthal sample, same positions).
output_dir/
introgression_results.json # Full results with segments and summary
segments.bed # BED file of introgressed regions
{
"method": "ibdmix",
"lod_threshold": 3.0,
"num_samples": 3,
"segments": [
{
"sample": "SAMPLE01",
"chrom": "chr22",
"start": 16050075,
"end": 16051249,
"archaic_source": "Neanderthal",
"method": "ibdmix",
"score": 4.2,
"num_variants": 6,
"length": 1174
}
],
"summary": {
"SAMPLE01": {
"total_segments": 1,
"total_length_bp": 1174,
"mean_segment_length": 1174.0,
"mean_score": 4.2
}
}
}
ClawBio is a research and educational tool. It is not a medical device and does not provide clinical diagnoses. Consult a healthcare professional before making any medical decisions.
The agent dispatches queries and explains results. The skill executes the computational pipeline. The agent should not attempt to reimplement IBDmix LOD scoring outside this module.
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概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
日本語の概要は準備中です。原文の説明を表示しています。
Unified analysis pipeline for affinity-based proteomics platforms — Olink (PEA, NPX) and SomaLogic SomaScan (SOMAmer, RFU). Platform-aware QC, normalisation, differential abundance, volcano plots, heatmaps, and PCA.
日本語の概要は準備中です。原文の説明を表示しています。