Skills correspondant au nom, à la description ou à l’auteur GitHub.
Converts Python report scripts (Elasticsearch queries + email output) into Grafana Jsonnet dashboards with dual-datasource support (ClickHouse + Elasticsearch ES7/ES8). Use when migrating scheduled email report...
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
ALWAYS USE when working with dbt models, SQL transformations, tests, snapshots, or macros. Use IMMEDIATELY when editing dbt_project.yml, profiles.yml, or creating SQL models. MUST be loaded before any transform...
Expert guidance for Polars dataframe manipulation in Python. Use this skill when working with dataframes, data processing, ETL pipelines, or any task involving tabular data manipulation. Provides best practices...
FastAPI + Pydantic v2 backend workflow: implement/modify API endpoints with thin handlers + service layer, add pytest tests, manage idempotent Alembic migrations, and implement streaming ETL/parsers with invali...
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building...
Transform, clean, and reshape data using pandas and numpy for ETL and data preprocessing. WHEN: Manipulating DataFrames, cleaning datasets, reshaping data (pivot, melt), merging/joining tables, data normalizati...
Create and manage database migrations with reversible up/down methods, zero-downtime deployment strategies, and proper schema versioning. Use this skill when creating database migration files, altering table sc...
Field naming conventions for the Job Aggregator project. Use this skill when encountering type errors related to field names (camelCase vs snake_case), database constraint violations, or data mapping issues bet...
Use when editing .sql files, reviewing SQL in Python/JavaScript/TypeScript code, writing database queries, or when user mentions PostgreSQL, SQL validation, query optimization, or database schema.
Use for Rapidata Python SDK tasks: authenticate with RapidataClient, submit labeling orders from datasets (compare/classification/ranking/free-text/locate/draw/select-words/timestamp), apply filters/settings/se...
Comprehensive SQLModel skill for Python database operations with SQL databases. Use when working with SQLModel for (1) Designing database models and table schemas, (2) Creating relationships between tables (for...
SQLModel ORM skill for Python database operations. Use when defining database models, creating tables, managing sessions, writing CRUD operations, or integrating with FastAPI. Triggers include "create model", "...
Execute SQL queries against Snowflake data warehouse using Python connector. Supports password, key-pair, and SSO/OAuth authentication. Use for ad-hoc queries, data extraction, and schema exploration. Output in...
A skill that configures the agent to design, refactor, validate, and debug Pydantic v2 and v1 models, validators, and settings. Use this skill for structured data modeling, API schema generation, validation log...
Turn the model into a SQLAlchemy-focused Python coding agent for designing models, writing queries, debugging database issues, and integrating SQLAlchemy with Alembic and FastAPI in new or existing Python proje...
Guidance for working with Awkward Array 2.0 jagged arrays and records in Python. Use when building or debugging `awkward` workflows, including record construction with `ak.zip`, adding fields with `ak.with_fiel...
Provides patterns and guidance for implementing user-scoped data filtering and multi-tenancy in web applications. Use this skill when you need to: (1) Restrict data access based on user identity, (2) Implement...
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Python specialist for Faiston One Platform. Use when writing FastAPI endpoints, Google ADK agents, async patterns, Pydantic models, and Lambda handlers. PROACTIVE for code review and refactoring.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.