From mozdata
Write efficient BigQuery queries for Mozilla telemetry. Use when user asks about: Firefox DAU/MAU, telemetry queries, BigQuery Mozilla, baseline_clients, events_stream, search metrics, user counts, or Firefox data analysis.
npx claudepluginhub akkomar/mozdata-claude-plugin --plugin mozdataThis skill is limited to using the following tools:
For table selection and aggregation hierarchy, see [data-catalog.md](../../knowledge/data-catalog.md).
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
For table selection and aggregation hierarchy, see data-catalog.md. For query templates and best practices, see query-writing.md. For data platform architecture, see architecture.md. For external sources (Metric Hub, Confluence, UDF discovery), see external-sources.md.
get_metric_sql) if available. For broader context on metric calculation logic, check Confluence via Atlassian MCP. If neither is available, use the templates in this plugin's knowledge files.mcp__bigquery__*), offer to execute the query directly:
mcp__bigquery__execute_sql to run queriesmcp__bigquery__get_table_info to inspect schemasmcp__bigquery__list_dataset_ids / mcp__bigquery__list_table_ids to explore data