lck-analytics

lck-analytics is a specialized AI skill for querying and analyzing League of Legends Champions Korea (LCK) data using Riot’s official LoL Esports data surfaces and Oracle’s Elixir-style historical datasets. It helps users retrieve match results for specific dates, view current standings, monitor ongoing games, and generate structured match analyses. The skill also normalizes team aliases, allowing users to search using different historical or regional team names while receiving consistent results. Its purpose is to provide a unified workflow for LCK-focused reporting, live game insights, and historical performance analysis.

The skill supports several analytical capabilities beyond basic scoreboard lookups. It can retrieve live game statistics, analyze turning points from live timelines, summarize patch meta trends, evaluate champion matchups and synergies from historical datasets, and generate team power ratings. Official Riot data sources are prioritized for schedules, standings, event details, and live game information, while Oracle’s Elixir-style CSV or row-based data can be used for advanced historical analytics. The package also includes lightweight local pipeline scripts for synchronizing historical data, building match reports, and analyzing live games.

This skill is designed for esports analysts, League of Legends fans, content creators, researchers, and developers who need structured LCK information and analytics. Common use cases include checking daily match results, filtering data for a specific team, reviewing live game state summaries, identifying key turning points during matches, analyzing champion draft interactions, understanding patch meta trends, and comparing team strength through power ratings. It is particularly useful for users who want both official match information and deeper historical analysis within a single workflow.