Query ludi.db for statistical analysis of Ludi-Bot data patterns.
npx skills add https://github.com/LudiInformatio/Ludi-Bot --skill lena-analyze
Please help me install this Agent Skill. Skill: lena-analyze Source: https://github.com/LudiInformatio/Ludi-Bot/tree/main/.claude/skills/lena-analyze Command: npx skills add https://github.com/LudiInformatio/Ludi-Bot --skill lena-analyze
This Skill provides on-demand, in-depth statistical analysis of Ludi-Bot's game and player data, uncovering hidden patterns and actionable insights.
Use the lena-analyze skill to assess back-to-back resilience for the STRETCH_BIG archetype.
High-intent search queries and answers about installing and using this skill.
Statistical pattern mining queries ludi.db to identify trends in player performance, team schemes, and referee tendencies, reporting findings with sample sizes, confidence levels, and actionability assessments.
Regression analysis assesses back-to-back resilience by querying ludi.db for performance drop-offs or improvements under specific conditions like winning or losing streaks for archetypes such as STRETCH_BIG.
Yes, you can analyze scheme x archetype win rates and line movement correlation directly. The Skill queries ludi.db internally and requires no external dependencies to perform these correlation studies.
To ensure accurate results for referee tendencies and streak regression, you must use canonical name resolution and specific database query practices when querying ludi.db.
Yes, lena-analyze reports findings with explicit sample sizes, confidence levels, and actionability assessments to support various modules and data curation processes.
You should not use on-demand statistical analysis when canonical name resolution is unavailable or when specific database query practices cannot be applied, as accurate results depend on these requirements.
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