High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
8.7
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0
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Data & Analytics
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Excellent genomic analysis skill with comprehensive coverage of a specialized toolkit. The SKILL.md provides clear use-case guidance across six core capabilities (overlap detection, coverage tracks, tokenization, reference management, fragment processing, scoring) with concrete quick-start examples for each. Structure is exemplary: concise overview with well-organized capability sections and clear pointers to detailed reference files. Task knowledge is complete with practical workflows, Python/CLI usage guidance, and integration patterns. The skill addresses complex genomic interval operations that would require substantial token expenditure for a CLI agent to implement from scratch, though the domain is somewhat specialized. Minor point: novelty score reflects that while the operations are complex, they're standard bioinformatics tasks rather than cutting-edge novel approaches. Overall, this is a well-documented, highly usable skill that effectively reduces complexity for genomic analysis workflows.
davila7
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