Validate NBA stats pipeline health across phases 2–5.
npx skills add https://github.com/najicham/nba-stats-scraper --skill validate-daily
Please help me install this Agent Skill. Skill: validate-daily Source: https://github.com/najicham/nba-stats-scraper/tree/main/.claude/skills/validate-daily Command: npx skills add https://github.com/najicham/nba-stats-scraper --skill validate-daily
This skill ensures the daily NBA stats scraping, analytics, and predictions pipeline is healthy and ready by performing automated health checks, data quality validations, and deployment drift assessments across Phase 2–5.
Set your validation scope (today's pre-game checks, yesterday's results, or a specific date), then run the workflow and review the generated health summary.
High-intent search queries and answers about installing and using this skill.
You can validate daily NBA pipeline health by running interactive, date-aware checks across ingestion, analytics, feature precompute, and model predictions to catch data quality issues before production.
Data quality validation for a daily NBA stats pipeline is an automated health check verifying ingested stats, analytics, and predictions to ensure timely, accurate data for operational workflows.
Yes, you can run pre-game and post-game validation checks for specific NBA dates using interactive mode, which applies date-aware validations for correct GAME_DATE and PROCESSING_DATE scenarios.
The best way to catch ingestion and deployment drift issues is running end-to-end daily validation across the NBA stats pipeline, interactively selecting validation scope and thoroughness to surface operator issues.
No external software beyond standard cloud tooling is needed to run daily health checks on an NBA predictions pipeline; the skill executes interactive validations natively to assess data quality and deployment drift.
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