Run end-to-end sport pipelines with a single command.
npx skills add https://github.com/fstr21/sportsbot --skill pipeline-runner-skill
Please help me install this Agent Skill. Skill: Pipeline Runner Skill Source: https://github.com/fstr21/sportsbot/tree/main/.claude/skills/pipeline-runner Command: npx skills add https://github.com/fstr21/sportsbot --skill pipeline-runner-skill
Manually executing multiple scripts for data capture, derivation, packaging, and ingestion is time-consuming, complex, and prone to human error. This Skill streamlines the entire process into a single, orchestrated command, saving you significant operational time.
python .claude/skills/pipeline-runner/scripts/run_pipeline.py --sport nfl --date today
python .claude/skills/pipeline-runner/scripts/run_pipeline.py --sport nba --date tomorrow --stages capture derive
High-intent search queries and answers about installing and using this skill.
Pipeline orchestration automates running capture, derivation, packaging, and ingestion stages sequentially with a single command. This Skill executes all four stages for NFL, NHL, NBA, NCAAF, and soccer pipelines, stops on critical failures, and reports progress in real time, eliminating manual script execution.
Yes, you can specify which stages to execute using the --stages flag. For example, running only capture and derive stages stops before packaging and ingestion, letting you test or debug individual pipeline components without running the complete workflow.
The pipeline stops on critical failures and gracefully handles missing scripts for optional stages. It captures and reports stdout and stderr in real time, so you see exactly where execution halted and what output was generated before the failure occurred.
No, the pipeline defaults to today's date automatically. You can optionally pass --date with values like 'today', 'tomorrow', or a specific date to run the pipeline for different dates without manual intervention.
The pipeline supports NFL, NHL, NBA, NCAAF, and soccer data workflows. Each sport pipeline executes the full four-stage process: capturing raw game data, deriving statistics, packaging results, and ingesting into your data system.
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