Explorar skills

Read/write SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ. Region queries, pileup, variant filtering, read groups. Python htslib wrapper exposing samtools/bcftools CLI. Use STAR/BWA for alignment; GATK/DeepVariant for variant calling.

Cross-language CLI standards — subcommand structure, flag/env/config/default precedence, TOML in XDG, stdout-data/stderr-logs split, --output json|yaml, exit codes, NO_COLOR, completions. Go (cobra+pflag+viper) and Python (typer) recipes. Use when designing or reviewing a CLI.

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

Framework-specific delta on rest-api-architect — FastAPI 0.136 on Python 3.14. Feature layout, Pydantic v2 request/response separation, async DI with lifespan, URL-prefix versioning, RFC 7807 errors, in-house OAuth2+JWT or external IdP. Read rest-api-architect first for the cross-cutting REST conventions. Use when scaffolding or reviewing a FastAPI service.

Padrões e constructs comuns do AWS CDK para construir infraestrutura em nuvem com TypeScript, Python ou Java. Utilize ao projetar stacks CDK reutilizáveis e constructs L3.

Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal. Rigid/affine/deformable registration, threshold/region-growing segmentation, Gaussian/morph filtering, label stats, format conversion. Use to align volumes across timepoints/modalities, segment fluorescence, or convert DICOM→NIfTI.

Processo de autenticação e invocação da API AppFlowy Cloud/GoTrue, abrangendo aquisição de token, workspace, documentos, bancos de dados e pesquisa. Utilize-o neste repositório para desenvolvimento Python, depuração, automação ou solução de problemas de clientes e scripts da API AppFlowy.

Python scripting with uv and PEP 723 inline dependencies. Use when creating

Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。