Sports-Plugins

Read the BSI Conference Power Index correctly. Interpret strength-of-schedule adjusted conference rankings, cross-conference comparisons, and how SOS adjustments change the story. Use when comparing programs across different conferences, explaining why a team's record alone doesn't tell the full story, or when doing postseason bracket projection. Pairs with bsi_get_conference_power_index from the cbb-sabermetrics plugin.

Interpret advanced college baseball metrics (wOBA, wRC+, FIP, ERA-, BABIP, ISO, K%, BB%) correctly in context. Use when explaining a player's or team's advanced stats, when comparing programs, when translating raw numbers into analytical conclusions, or when converting a leaderboard into a scouting takeaway. Pairs with bsi_get_team_sabermetrics, bsi_get_player_stats, and bsi_get_leaderboard from the cbb-sabermetrics plugin.

Texas Longhorns baseball intelligence for scouting reports, game analysis, roster evaluation, SEC positioning, player development, historical comparisons, NIL efficiency, and editorial content. Use when the user wants Texas-specific college baseball analysis that combines program doctrine with live MCP data from the cbb-sabermetrics plugin. For current stats, standings, and performance claims, fetch MCP tools before stating facts.

Use when the task involves ingesting, normalizing, storing, or processing college baseball game data — including box scores, play-by-play events, lineup data, and pitching logs — from NCAA stats, Baseball Reference, BSI's pipeline, or manually entered game sheets.

Use when the task involves constructing or optimizing a college baseball batting order, evaluating lineup balance, building platoon splits for lineup decisions, or generating a lineup card with sabermetric rationale.

Use when the task involves evaluating a college baseball pitcher or pitching staff — including pitch-mix analysis, sequencing strategy, matchup scouting, platoon splits, and role recommendations (starter vs. reliever vs. closer).

Use when the task involves computing, interpreting, or displaying advanced baseball statistics for college teams or players. Covers rate stats, context-neutral metrics, park and era adjustments (where applicable in NCAA), and narrative generation from raw numbers.

Use when the task involves planning a fantasy sports draft, analyzing draft position strategy, identifying sleepers, or evaluating ADP vs. projected value discrepancies across NFL, MLB, NBA, or DFS formats.

Use when the task involves analyzing a fantasy sports trade offer, comparing player values, recommending a counter-offer, or building a trade proposal to target a specific player. Covers NFL, MLB, NBA, dynasty, and redraft formats.

Use when the task involves ranking waiver wire pickups, recommending streaming options, advising add/drop decisions, or building a weekly priority list for a fantasy sports league.

Use when the task involves building live data polling, Cloudflare Worker scheduled refresh, KV cache management, or React hooks for real-time score updates. Covers interval management, stale-data handling, WebSocket alternatives, and graceful degradation when the data source is unavailable.

Use when the task involves building scoreboard components, game cards, line score tables, or cross-sport score views. Covers React/Next.js component patterns, mobile-first layout, in-progress vs. final state rendering, and live-update visual indicators.

Use when the task involves building or auditing a sports data ingestion pipeline — including API clients for SportsDataIO, MLB Stats API, NCAA stats, or BSI's MCP endpoint; data normalization; Cloudflare KV/D1/R2 storage patterns; caching strategy; and error handling for live game feeds.

Use when the task involves building a win probability model, player projection system, regression analysis, or any predictive or forecasting component for sports data. Covers methodology selection, feature engineering for sports, model implementation in TypeScript/Python, and output calibration.

Use when the task involves building chart components, stat tables, dashboards, or data display surfaces for sports statistics. Covers Recharts patterns, responsive table layouts, spark charts, leaderboards, and scoreboard UI for college and professional sports.

Build and optimize a Diamond Dynasty squad within a budget, position requirements, and collection goals

Display college football rankings — AP Top 25, CFP rankings, conference standings, and advanced metrics (SP+, FPI)

This skill should be used when the user asks about college football recruiting, "top recruits", recruiting class rankings, commitment lists, 5-star prospects, or recruiting grades. Provides NCAA football recruiting intelligence.

This skill should be used when the user asks about the college football transfer portal, "who entered the portal", player transfers, portal rankings, team portal grades, or transfer impact ratings. Provides real-time transfer portal intelligence for NCAA football.

This skill should be used when the user asks about MLB The Show card prices, Diamond Dynasty market, card values, "how much is", card investments, or attribute upgrades. Provides real-time card pricing and market intelligence for Diamond Dynasty.

Compare two sports players side-by-side with advanced stats and contextual analysis

This skill should be used when the user asks about college baseball data, box scores, NCAA baseball statistics, college baseball rankings, D1 baseball players, or any request that could be served by the Blaze Sports Intel analytics engine. Queries the BSI MCP endpoint for structured college baseball data.

This skill should be used when the user asks about Texas Longhorns baseball, UT Austin baseball, "Hook 'em", Texas baseball players, or any Texas Longhorns college baseball topic. Provides deep intelligence and analytics specific to the University of Texas baseball program.

This skill should be used when the user asks about a specific college baseball player's stats, performance, scouting report, or draft profile. Retrieves advanced sabermetric data for NCAA Division I baseball players.

This skill should be used when the user asks about sabermetric formulas, "what is wOBA", "how to calculate FIP", "explain wRC+", college baseball advanced stats, or wants to compute sabermetric values from raw stats. Provides formulas, explanations, and calculations for all major sabermetric metrics.

Display college baseball rankings with advanced metrics — national Top 25, conference standings, and category leaders

Analyze a fantasy sports head-to-head matchup with category breakdowns and win probability

This skill should be used when the user asks about fantasy sports lineups, "should I start", "who should I sit", roster decisions, start/sit advice, lineup optimization, or fantasy player rankings. Provides data-driven roster recommendations.

This skill should be used when the user asks about live scores, game results, current games, "what's the score", who won, or game outcomes for any sport. Retrieves real-time score data for MLB, NFL, NBA, college baseball, and college football.

Display a formatted multi-game scoreboard for a specified sport or league

This skill should be used when the user asks about sports statistics, player stats, team records, league leaders, historical data, or any natural language question about sports numbers. Retrieves and formats structured sports data.