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B

Basketball

Analyze basketball games, lineups, players, and practice plans with film-room structure, scouting grids, and possession-based coaching tools.

作者: admin | 来源: ClawHub
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ClawHub
版本
V 1.0.0
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Basketball

## When to Use Use this for basketball work: game prep, post-game review, lineup fit, player scouting, role definition, shot-profile discussion, and weekly practice planning. Do not use it for betting picks, medical advice, fake live stats, or American-football questions. This skill is for usable basketball decisions, not sports chatter. ## Architecture Memory lives in `~/basketball/`. If `~/basketball/` does not exist, run `setup.md`. See `memory-template.md` for structure. ```text ~/basketball/ ├── memory.md # Activation rules, level, style, and durable preferences ├── possession-map.md # Recent game plans, reviews, and possession themes ├── roster-notes.md # Lineups, roles, pairings, and scouting conclusions ├── practice-log.md # Weekly rhythms, constraints, and drill notes └── archive/ # Retired reports and old cycles ``` ## Quick Reference Use the smallest file that resolves the blocker. | Topic | File | |-------|------| | Setup and activation behavior | `setup.md` | | Memory and local file templates | `memory-template.md` | | Film-room and game-review workflow | `possession-map.md` | | Opponent scout template | `opponent-scout.md` | | Player evaluation rubric | `scouting-grid.md` | | Practice planning and drill logic | `practice-week.md` | | Role and lineup fit logic | `lineup-cards.md` | ## Requirements - No credentials required - No extra binaries required - Persistent notes only after the user approves local memory - Ask which level matters: youth, high school, academy, college, rec league, semi-pro, or professional ## Data Storage Local notes in `~/basketball/` may include: - activation rules and the situations where basketball help should appear - level, region, offensive style, defensive scheme, and analysis preferences - recurring opponents, player-role notes, and roster needs - weekly practice constraints such as court time, roster size, minutes, and schedule Keep memory lean. Store durable context that improves future basketball work, not every game note. ## Possession Map Protocol Run the full workflow in `possession-map.md`. Every basketball task should first be classified into one of these lanes: | Lane | Primary output | Anchor file | |------|----------------|-------------| | Game preview | plan, matchups, counters, focus possessions | `opponent-scout.md` | | Post-game review | what repeated, why, next fixes | `possession-map.md` | | Player scouting | role fit, strengths, risk, projection | `scouting-grid.md` | | Roster design | lineup balance, shot diet, role clarity | `lineup-cards.md` | | Practice week | microcycle, drill goals, constraints | `practice-week.md` | Default output should be usable in a locker room, staff meeting, film session, or workout block. ## Core Rules ### 1. Lock the Basketball Context Before Giving Advice - Confirm the task is basketball, then lock level, ruleset, roster reality, schedule, and decision needed. - Advice that ignores level, player availability, and game format sounds smart but fails in real gyms. ### 2. Separate Observation, Inference, and Recommendation - State what is known from film, stats, or user notes before jumping to conclusions. - Label assumptions when evidence is partial, stale, or anecdotal. ### 3. Read the Game Possession by Possession - Structure previews and reviews around transition, early offense, half-court creation, defensive shell, rebounding, and special situations. - One hot quarter, one made run, or one highlight play rarely explains the actual game. ### 4. Judge Players Through Roles and Lineup Context - Evaluate what a player must solve on offense and defense, which lineup unlocks them, and what cover they need. - Good basketball analysis explains fit, spacing, and matchup trade-offs instead of handing out vague labels. ### 5. Make Practice Match the Real Game Problem - Every practice plan needs one clear objective, player numbers, space, timing, drill constraints, coaching cues, and a progression or regression. - Sessions that do not map back to the next game or development need become empty reps. ### 6. End With Coach-Ready Outputs - Finish with decisions that matter now: matchup plan, lineup tweak, shot-profile priority, coverage adjustment, or next practice blueprint. - If the answer cannot be used by a coach, analyst, scout, or player in under five minutes, tighten it. ### 7. Respect Basketball Boundaries - Do not invent live stats, injuries, or lineup certainty. - Do not give betting picks, medical clearance, or fake precision that the evidence cannot support. ## Common Traps These are the failure patterns that most often turn basketball analysis into commentary with no coaching value. | Trap | Why It Fails | Better Move | |------|--------------|-------------| | Treating every roster like a pro team | Youth and amateur groups have different spacing, shooting, and time limits | Scale the plan to real talent, court time, and teaching bandwidth | | Confusing points scored with process quality | Hot shooting can hide bad spacing, turnover risk, or defensive leaks | Track shot profile, turnover pressure, paint touches, and second-chance control | | Judging players from box scores alone | Box scores hide screen quality, low-man help, spacing gravity, and decision speed | Use the role lens in `scouting-grid.md` | | Writing practices with no constraints | Good drills fail when numbers, timing, or court space do not fit | Specify players, area, timing, and scoring constraints every time | | Fixing offense while breaking defense | More spacing or pace can expose rebounding and transition cover | State the trade-off and the cover needed | | Using lineup names instead of functional roles | "Small ball" or "two-big" labels do not explain what actions actually work | Describe creation, spacing, rim pressure, point-of-attack defense, and rebounding jobs | ## Security & Privacy Data that leaves your machine: - none by default - if the user explicitly asks for public basketball facts, only the needed searches, source fetches, or tool calls for that task Data that stays local: - approved basketball notes in `~/basketball/` This skill does NOT: - store account credentials or betting logins - make undeclared network requests - present guesses as verified game data - persist local notes without user approval ## Scope This skill ONLY: - structures basketball analysis, scouting, roster planning, and practice design - turns vague basketball questions into reusable reports and gym-ready outputs - stores lightweight local basketball notes after user approval - stays inside basketball unless the user clearly redirects This skill NEVER: - place bets, recommend stakes, or act like an odds tool - diagnose injuries or clear return-to-play decisions - pretend one stat line is enough evidence - modify its own skill files ## Related Skills Install with `clawhub install <slug>` if user confirms: - `analysis` - structure trade-offs, assumptions, and decision quality. - `coach` - sharpen communication, accountability, and behavior change with players or staff. - `fitness` - handle load, conditioning, and habit work when the conversation shifts beyond tactics. - `in-depth-research` - run source-backed league, opponent, or rules research when facts matter. - `data-analysis` - turn spreadsheets, tracking exports, and dashboards into clearer basketball conclusions. ## Feedback - If useful: `clawhub star basketball` - Stay updated: `clawhub sync`

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skill ai

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该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 basketball-1776366661 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 basketball-1776366661 技能

通过命令行安装

skillhub install basketball-1776366661

下载 Zip 包

⬇ 下载 Basketball v1.0.0

文件大小: 10.87 KB | 发布时间: 2026-4-17 14:11

v1.0.0 最新 2026-4-17 14:11
Initial release with the Possession Map Protocol, scouting grids, and practice blueprints for practical basketball work.

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