技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
specialized-analyses-and-graphics【数据与研究】Routes Biopython motif, restriction enzyme, clustering, phenotype, population genetics, graphics, protein-analysis, and long-tail module tasks.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when the user asks for Biopython workflows outside the core sequence/alignment/structure/database paths: motif/PWM/PSSM work, restriction enzyme analysis, clustering numeric data, phenotype microarray data, GenePop population genetics, GenomeDiagram or other graphics, protein property calculations, and long-tail modules such as CAPS, COMPASS, NMR, SCOP, Pathway, and Bio.Data constants.
Bio.motifs, including JASPAR flat files and PWM/PSSM thresholds.Analysis filters with Bio.Restriction.Bio.Cluster: distance matrices, k-means/medians, k-medoids, hierarchical clustering, SOMs, centroids, PCA, masks, and distance-code choices.Bio.phenotype: pm-json/pm-csv, PlateRecord, WellRecord, interpolation, control subtraction, and optional curve fitting.Bio.PopGen.GenePop.Bio.Graphics and Bio.Graphics.GenomeDiagram diagrams when optional graphics dependencies are available.Bio.SeqUtils.ProtParam.ProteinAnalysis and related Bio.SeqUtils/Bio.Data helpers.Bio.CAPS, Bio.Compass, Bio.NMR, Bio.SCOP, and Bio.Pathway.Seq, SeqRecord, SeqFeature, coordinate, translation, transcription, and basic SeqUtils tasks: use ../sequence-objects-and-features/SKILL.md.SeqIO, AlignIO, compression, indexing, or general format tables: use ../file-io-and-format-conversion/SKILL.md.../alignment-search-and-phylogeny/SKILL.md.../structural-bioinformatics/SKILL.md.../web-databases-and-biosql/SKILL.md.references/motif-restriction-reference.md before writing code.references/specialized-workflows.md.references/troubleshooting.md.python scripts/specialized_modules_smoke.py
The smoke script uses only tiny in-memory data and avoids network calls, credentials, graphics rendering, database servers, and original repository files.
Bio.Graphics, ReportLab bitmap rendering, JASPAR SQL database access, phenotype curve fitting, and external/web tools as optional until explicitly available.initialid for k-means/k-medians/k-medoids or by using hierarchical clustering/distance matrices.read() for exactly-one-motif inputs and parse() for multi-motif inputs.