Generate self-contained ECharts HTML analytics pages from BigQuery data.
npx skills add https://github.com/al-stev/field-eng-skills --skill deep-analytics
Please help me install this Agent Skill. Skill: deep-analytics Source: https://github.com/al-stev/field-eng-skills/tree/main/.claude/skills/deep-analytics Command: npx skills add https://github.com/al-stev/field-eng-skills --skill deep-analytics
Deep Analytics automates the generation of shareable, self-contained HTML analytics pages from BigQuery so Solutions Engineers and analysts can quickly surface per-user and per-team intelligence without building bespoke reports or dashboards.
Run the deep analytics pipeline for a customer and page type to produce a self-contained HTML analytics page.
High-intent search queries and answers about installing and using this skill.
The pipeline generates interactive HTML analytics reports by running SQL queries against BigQuery, validating schemas, and transforming results into self-contained ECharts-powered visualizations. It checks data availability and outputs single-file reports ready for sharing.
From BigQuery, you can extract user journeys, cohort retention, engagement decay, feature velocity, team detection, risk scoring, usage correlation, SDK distributions, and performance signals. These metrics are transformed into multi-dimensional analytical pages for per-customer intelligence.
Yes, Application Default Credentials are required for BigQuery access. The analytics pipeline enforces ADC-based authentication and requires a customer-account mapping configuration in a YAML file to generate the analytical pages successfully.
To handle data privacy, the pipeline enforces cohort minimums and scans outputs to prevent SFDC account ID leakage. It also implements descoping gates that halt report generation when required data or schemas are missing.
Yes, pandas and numpy are used to transform BigQuery query results into ECharts-powered visualizations. These libraries handle the data manipulation required to produce the narrative sections and graphical outputs in the final self-contained HTML file.
When required schemas or data are missing, the pipeline triggers descoping gates that prevent the analytics page from generating. It validates schema and data availability upfront to ensure accurate cohort analysis, user journey reporting, and risk scoring.
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