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专业的 Python 开发技能，涵盖现代 Python 3.10+、FastAPI、Django、Flask、异步编程、数据处理和最佳实践。使用此技能开发 Python Web 应用、构建 FastAPI/Django 项目、实现异步编程，或需要 Python 架构设计和性能优化指导时使用。

Programação Orientada a Objetos (POO) para classes de bioinformática, decoradores, gerenciadores de contexto, tratamento de erros e consultas SQL para bancos de dados biológicos.

Padrões de geradores para streaming de dados de bioinformática — leitores FASTA/FASTQ, janelas deslizantes, pipelines de tradução e processamento de sequências com eficiência de memória.

Use when asked to read, extract content from, or convert documents — PDF, DOCX, PPTX, XLSX, or HTML files — into Markdown text so an AI agent can process them.

Coleções Python (namedtuple, defaultdict, Counter, set) e regex para bioinformática, cobrindo contagem de k-mers, streaming de FASTA/FASTQ, mapas de restrição e padrões PROSITE.

Estatística Bayesiana com PyMC: especificação de priors, amostragem MCMC, análise posterior e modelos hierárquicos para dados biológicos. Utilize ao aplicar inferência Bayesiana a experimentos.

Filogenética com BioPython: modelos de distância (p-distância, JC69, K2P), construção de árvores UPGMA vs NJ, análise Newick e interpretação de bootstrap.

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPseeker (R), HOMER annotatePeaks.pl (CLI), pyranges (Python), GREAT/rGREAT (regulatory domain gene-set enrichment), ChIP-Enrich (locus-length-adjusted), ENCODE SCREEN cCRE classification (PLS/pELS/dELS/CTCF-only/DNase-H3K4me3), and ENCODE-rE2G for cell-type

Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.

Retrieve records from NCBI databases using Biopython Bio.Entrez (EFetch, ESummary). Use when downloading sequences, fetching GenBank/GenPept records, getting document summaries, parsing nested XML, navigating GI deprecation, choosing between rettype+retmode combinations, and parsing into Biopython SeqRecord/SwissProt objects. Covers nucleotide, protein, gene, pubmed, sra, gds, taxonomy, snp, clinv

Pre-commit hooks framework for multi-language code quality automation. USE WHEN setting up pre-commit OR configuring git hooks OR adding linting OR code formatting OR security scanning OR Terraform validation OR Kubernetes manifests OR Helm charts OR Python linting OR JavaScript formatting. Manages .pre-commit-config.yaml, hook installation, and CI integration.