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py-async-patterns
Async/await patterns for FastAPI and SQLAlchemy. Use when working with async code, database sessions, concurrent operations, or debugging async issues in Python.
py-sqlmodel-patterns
SQLModel and async SQLAlchemy patterns. Use when working with database models, queries, relationships, or debugging ORM issues.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization i
schema-alignment
Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.
database-operations
Instructions on how to write database queries with SQLAlchemy.
query-builder
Interactive database query builder for generating optimized SQL and NoSQL queries.
csv-processor
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
report-generator
Generate professional markdown and HTML reports from data with charts, tables, and analysis.
datadata-api
通过 CLI 查询 Datadata — 运行临时 SQL、检查数据源元数据、列表和描述表、下载 NDJSON/CSV 格式结果。当用户提到 Datadata、想查询数据、探索数据源或表 schema、获取查询结果时使用此 skill。触发:Datadata、数据探索、SQL查询、表检查、执行结果。
datadata-dql
为 Datadata 平台编写 DQL 数据处理脚本 — 基于 Starlark 的扩展脚本语言,支持 DataFrame/Series 操作、SQL 查询、HTTP 请求等。当用户需要编写数据转换、数据清洗、数据生成或自定义数据处理逻辑时使用此 skill。
arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.