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SkillsMP hat 130 Skills aus Kilo-Org/kilo-marketplace gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 40 von 130 gesammelten Skills angezeigt.
Debug AOTInductor (AOTI) errors and crashes. Use when encountering AOTI segfaults, device mismatch errors, constant loading failures, or runtime errors from aot_compile, aot_load, aoti_compile_and_package, or aoti_load_package.
Quellsprache: Englisch
Expert guidance for Apache Arrow, the cross-language columnar memory format for analytics workloads. Helps developers use Arrow for high-performance data interchange between systems, zero-copy reads, and efficient columnar processing in Python (PyArrow) and…
Quellsprache: Englisch
Guides agents through Apache Hudi lakehouse design. Use when managing incremental upserts, record-level mutations, timeline behavior, compaction, and Hudi-based lakehouse tables.
Quellsprache: Englisch
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Quellsprache: Englisch
Guides use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK).…
Quellsprache: Englisch
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF…
Quellsprache: Englisch
Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, managing invitations/RBAC, cross-region deployments, dataset mapping, or automation,…
Quellsprache: Englisch
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity…
Quellsprache: Englisch
Expert knowledge for Azure Event Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Kafka…
Quellsprache: Englisch
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing. Triggers: "event hubs", "EventHubProducerClient", "EventHubConsumerClient", "streaming", "partitions".
Quellsprache: Englisch
Guidance for Azure Key Vault — securely storing and managing secrets, keys, and certificates with RBAC, network isolation, managed identity access, soft delete / purge protection, and rotation. Covers when to use standard Key Vault vs Managed HSM (FIPS 140-3…
Quellsprache: Englisch
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure…
Quellsprache: Englisch
Helps users find the right Azure RBAC role for an identity with least privilege access, then generate CLI commands and Bicep code to assign it. Also provides guidance on permissions required to grant roles. WHEN: bicep for role assignment, what role should I…
Quellsprache: Englisch
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file…
Quellsprache: Englisch
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working…
Quellsprache: Englisch
Scaffold, structure, and manage AI/ML projects that run on AzureML. Covers project initialization (uv workspaces, devcontainers, Makefile), Python packaging with explicit dependencies, local and cloud execution, experiment reproducibility, and extensibility…
Quellsprache: Englisch
Explains core Apache Beam programming model concepts including PCollections, PTransforms, Pipelines, and Runners. Use when learning Beam fundamentals or explaining pipeline concepts.
Quellsprache: Englisch
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, or leverage generative AI capabilities in BigQuery.
Quellsprache: Englisch
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
Quellsprache: Englisch
Wires up an Airbyte connector for use in a PydanticAI or Claude SDK agent. Generates auth config, connector initialization, and tool_utils-decorated tool function. Use when adding a connector to an agent or setting up a new agent with a connector.
Quellsprache: Englisch
Apache Cassandra is a distributed NoSQL database designed for high availability and linear scalability. Learn CQL (Cassandra Query Language), data modeling with partition keys, replication strategies, and integration with Node.js using the DataStax driver.
Quellsprache: Englisch
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3,…
Quellsprache: Englisch
Expert guidance for HTML/XML parsing using Cheerio in Node.js with best practices for DOM traversal, data extraction, and efficient scraping pipelines.
Quellsprache: Englisch
AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.
Quellsprache: Englisch
This skill should be used when a connected Collibra Chip MCP server can provide domain-specific Collibra workflows and references.
Quellsprache: Englisch
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers…
Quellsprache: Englisch
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create…
Quellsprache: Englisch
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine
Quellsprache: Englisch
Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling
Quellsprache: Englisch
This skill should be used for Dagster project work involving assets, components, integrations, or the dg CLI; it requires consulting the bundled command and API references before proposing implementation details.
Quellsprache: Englisch
Dagster is a data pipeline orchestrator built around the concept of software-defined assets. Learn to define assets, ops, jobs, schedules, sensors, and resources for building maintainable data platforms.
Quellsprache: Englisch
Guides agents through data catalog, discovery, and metadata quality workflows. Use when publishing datasets, improving discoverability, curating lineage metadata, or making data products easier for other teams to find and trust.
Quellsprache: Englisch
Use this skill when designing distributed storage for HDFS, S3, ADLS, GCS, MinIO, NFS, or any distributed file system for data workloads. This skill enforces: storage backend selection, data durability and replication, file format selection, partitioning and…
Quellsprache: Englisch
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
Quellsprache: Englisch
Amazon Redshift expert. Deep expertise in columnar storage, distribution styles, sort keys, Redshift Serverless, Spectrum, data sharing, materialized views, and query optimization. WHEN: "Redshift", "Amazon Redshift", "Redshift Serverless", "Redshift…
Quellsprache: Englisch
Databricks CLI operations and the parent/entry-point skill for all Databricks work: authentication, profile selection, data exploration, bundles, and Genie natural-language data Q&A. Load this first for any Databricks task (CLI, auth, profiles, exploring…
Quellsprache: Englisch
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities. This skill MUST be invoked when the user mentions: "DBSQL", "Databricks SQL", "SQL warehouse", "SQL scripting", "stored procedure", "CALL procedure", "materialized view", "CREATE…
Quellsprache: Englisch
Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.
Quellsprache: Englisch
Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs,…
Quellsprache: Englisch
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
Quellsprache: Englisch