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Found 358 Skills
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management Use when: - Running bq commands (query, load, extract) - Writing GoogleSQL queries (functions, JOINs, CTEs) - Designing partitioned/clustered tables - Using BigQuery ML or external data sources
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 Catalog, Lakeflow, Lakebase, Delta Sharing, Databricks SQL, or Model Serving workloads, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
Turbot Pipes integration. Manage data, records, and automate workflows. Use when the user wants to interact with Turbot Pipes data.
Navigate open source product strategy, community dynamics, and sustainable maintenance. Use when planning OSS releases, managing contributors, handling community expectations, balancing commercial and community interests, or when the user needs battle-tested wisdom on building in the open.
Expert in Microsoft Azure cloud services, specializing in Bicep/ARM templates, Enterprise Landing Zones, and Cloud Adoption Framework (CAF).
Build comprehensive AI-native brand asset systems that maintain consistency across all AI-generated content. Train AI tools on brand guidelines, create reusable prompt libraries, and manage visual/voice assets at scale. Use when ", " mentioned.
Manage stakeholder expectations and engagement through targeted communication, regular updates, and relationship building. Tailor messaging for different stakeholder groups and priorities.
Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.
Roll out self-serve analytics on MotherDuck for internal teams. Use when deciding the first governed dataset, the first Dive or share, ownership boundaries, and the rollout path from one audience to broader adoption.
Build comprehensive design systems with components, patterns, and guidelines. Enable consistent design, faster development, and better collaboration across teams.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Turn a deadline, launch date, or delivery target into an executable Timeline Management Pack (deadline type + commitments, phase plan, milestone tracker, RAG cadence, scope/change control, stakeholder comms). Use for timeline/deadline/schedule/milestones.