ai-hockey-workflow
OfficialMaster hockey analysis workflows with AI guidance.
AuthorPuckAPI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides detailed guidance on structuring hockey analytics workflows using Claude and MCP tools, enabling efficient hypothesis testing, model iteration, and report generation.
Core Features & Use Cases
- Structured Workflow Instruction: Teaches step-by-step procedures for exploratory analysis, hypothesis testing, and model refinement in hockey analytics.
- Scenario Guidance: Offers example prompts and strategies, helping users interpret data patterns and evaluate models systematically.
- Use Case: A data scientist preparing a model to predict game outcomes can follow this Skill to design robust testing cycles, calibrate models, and generate performance summaries.
Quick Start
Ask Claude how to structure your analysis of a specific team or test a hypothesis, for example, "Help me test whether home ice advantage is significant in playoff games."
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: ai-hockey-workflow Download link: https://github.com/PuckAPI/claude-sports-analytics/archive/main.zip#ai-hockey-workflow Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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