Artifact Explorer Skill
CommunityUncover hidden data, verify captures.
Data & Analytics#debugging#data validation#pipeline#data capture#artifacts#data explorer#sports data
Authorfstr21
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Users often struggle to understand what data has been captured, if pipelines are working correctly, or if data is missing between processing stages. This Skill provides clear, immediate visibility into the data artifact lifecycle, eliminating guesswork.
Core Features & Use Cases
- Scan & Summarize: Automatically scans artifact directories, counting games, players, and files for each sport and date.
- Pipeline Stage Analysis: Identifies which pipeline stages (raw, derived, packages) have data and highlights any gaps, such as data captured but not yet derived.
- Integrity Checks: Validates artifact integrity (e.g., corrupt JSON) and compares artifact counts against the database.
- Use Case: After a capture script runs, use this Skill to quickly verify that artifacts were created, check for missing data, or debug why data isn't showing up in the database.
Quick Start
Explore all artifacts
python .claude/skills/artifact-explorer/scripts/explore_artifacts.py
Check NBA artifacts for a specific date
python .claude/skills/artifact-explorer/scripts/explore_artifacts.py --sport nba --date 2025-10-22
Dependency Matrix
Required Modules
rich
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Artifact Explorer Skill Download link: https://github.com/fstr21/sportsbot/archive/main.zip#artifact-explorer-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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