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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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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).
| name | query-stats |
| description | 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. |
| version | 1.0.0 |
Answers natural language questions about sports statistics across MLB, NFL, NBA, and college sports.
This skill activates when the user:
When this skill is invoked:
Parse the natural language question to identify:
Retrieve the relevant data
Present results in a clean, structured format:
📊 Aaron Judge — New York Yankees (2025)
G AB H HR RBI AVG OBP SLG OPS WAR
148 520 152 52 118 .292 .398 .638 1.036 8.2
📊 MLB Home Run Leaders — 2025
Rk Player Team HR
── ────────────────── ────── ──
1 Aaron Judge NYY 52
2 Shohei Ohtani LAD 48
3 Pete Alonso NYM 42
...
📊 Texas Longhorns Baseball — 2026
Record: 38-8 (18-3 Big 12)
National Rank: #1
RPI: .628
Team Batting: .289 AVG, .387 OBP, .472 SLG, 7.8 R/G
Team Pitching: 3.12 ERA, 3.28 FIP, 10.2 K/9