sports-betting-claude

作者 magicjordan33已验证

A Claude Project skill system for disciplined, data-driven sports betting. One prompt → structured bet recommendation with EV%, unit sizing, and reasoning.

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2026/8/24
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

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安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/magicjordan33/sports-betting-claude

快速入门

使用 sports-betting-claude 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

🎯 Sports Betting Claude

A Claude Project skill system that turns "what bet should I make today?" into a structured, data-driven answer.

License: MIT Claude Compatible PRs Welcome

What this is

A collection of skill files designed to be loaded into a Claude Project. Once set up, you can ask Claude a single question:

"What bet should I make today?"

And get a structured answer: sport, market, line, book, stake size in units, EV%, confidence tier, and reasoning — every time.

The system is built around five layers that mirror how professional bettors think:

Data Ingestion → Edge Detection → Bankroll Sizing → Sport Context → Output

⚡ Quick start (5 minutes)

1. Clone the repo

git clone https://github.com/YOUR_USERNAME/sports-betting-claude.git
cd sports-betting-claude

2. Create a Claude Project

  • Go to claude.ai → click Projects in the sidebar

  • Click New project

  • Name it something like Sports Betting System

3. Add the skill files to your Project

In your Claude Project, open Project instructions and paste the contents of PROJECT_INSTRUCTIONS.md.

Then upload these files to your Project's knowledge base (drag and drop or click "Add content"):

Start with these core files:

  • skills/data-ingestion/SKILL.md

  • skills/edge-detection/SKILL.md

  • skills/bankroll-management/SKILL.md

  • skills/performance-tracking/SKILL.md

  • skills/shared/anti-bias-checklist.md

  • skills/shared/output-format.md

Then add the sports you bet on:

  • skills/sport-specific/nfl/SKILL.md

  • skills/sport-specific/nba/SKILL.md

  • skills/sport-specific/mlb/SKILL.md

  • skills/sport-specific/nhl/SKILL.md

  • skills/sport-specific/ncaa/SKILL.md

4. Set your bankroll in the Project instructions

Edit the PROJECT_INSTRUCTIONS.md you pasted and fill in:

BANKROLL: $[your starting bankroll]
UNIT SIZE: $[bankroll × 0.02] (we recommend 2% per unit)
BOOKS AVAILABLE: [list the sportsbooks you have accounts with]

5. Ask your first question

Start a new conversation in the Project and type:

"What bet should I make today?"

📁 Repo structure

sports-betting-claude/
├── README.md                          ← you are here
├── PROJECT_INSTRUCTIONS.md            ← paste this into Claude Project settings
├── LICENSE
├── CONTRIBUTING.md
│
├── skills/
│   ├── data-ingestion/
│   │   └── SKILL.md                   ← how Claude fetches lines, injuries, news
│   │
│   ├── edge-detection/
│   │   └── SKILL.md                   ← EV calculation, vig removal, edge threshold
│   │
│   ├── bankroll-management/
│   │   └── SKILL.md                   ← Kelly criterion, unit sizing, stop-loss rules
│   │
│   ├── sport-specific/
│   │   ├── nfl/SKILL.md
│   │   ├── nba/SKILL.md
│   │   ├── mlb/SKILL.md
│   │   ├── nhl/SKILL.md
│   │   └── ncaa/SKILL.md
│   │
│   ├── performance-tracking/
│   │   └── SKILL.md                   ← bet log format, ROI tracking, calibration
│   │
│   └── shared/
│       ├── anti-bias-checklist.md     ← cognitive bias detection
│       └── output-format.md           ← standardized bet slip format
│
├── docs/
│   ├── how-edge-detection-works.md
│   ├── kelly-criterion-explained.md
│   ├── reading-line-movement.md
│   └── glossary.md
│
└── examples/
    ├── sample-daily-output.md          ← example of what Claude returns
    ├── sample-bet-log.md
    └── sample-bankroll-tracker.md

📊 What a daily output looks like

📅 DATE: [Today]
🏦 BANKROLL: $2,450 | UNIT: $49

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔵 BET #1 — HIGH CONFIDENCE (4 units)
Sport:    NBA
Market:   Spread
Pick:     Celtics -4.5
Book:     DraftKings (best available)
Line:     -110
Stake:    $196
EV:       +4.2%
Reasoning: Sharp reverse line movement from -5.5 to -4.5 despite 68% public on
           Boston. Tatum O/U minutes reduced, suggesting precautionary rest
           management — load still expected. Closing line target: -5.

🟡 BET #2 — MEDIUM CONFIDENCE (2 units)
Sport:    MLB
Market:   Total (Over)
Pick:     Cubs/Cardinals O8.5
Book:     FanDuel
Line:     -115
Stake:    $98
EV:       +2.1%
Reasoning: Wrigley day game, wind blowing out 12mph to left-center. Both starters
           have struggled in day games (ERA 0.8 pts higher). Park factor elevated.

⛔ PASS: 4 other games reviewed, no qualifying edge found today.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 LOG THESE: [format for your bet log]

🔬 How the edge detection works

Every bet goes through this filter before Claude will recommend it:

1. Find the true line (best available across books, no vig)
2. Calculate implied probability from your model
3. Compare: if your P(win) > market P(win) + 2% threshold → edge exists
4. Apply Kelly: stake = (edge × bankroll) / odds
5. Reality-check against sport-specific context (Layer 4)
6. Run anti-bias checklist (Layer 5)
7. Output or discard

No edge = no bet. The system will explicitly tell you when to pass.

⚠️ Honest expectations

What this system does What it doesn't do

Structures your research process Guarantee winners

Removes emotional bias Replace your own judgment

Finds positive EV opportunities Beat every line every day

Tracks your real edge over time Work without your input on bankroll/books

Teaches you to think like a pro Access live odds APIs automatically

20% monthly bankroll growth is achievable in winning stretches but not guaranteed month-over-month. Professional bettors average 5–10% ROI over a season. This system gives you the framework — variance is still part of sports betting.

🛠️ Contributing

See CONTRIBUTING.md. PRs welcome for:

  • New sport-specific skill files (soccer, tennis, MMA, golf)

  • Better data sources

  • Improved bias detection heuristics

  • Community-tested prompt improvements

📜 License

MIT — use it, fork it, improve it. See LICENSE.

🙋 FAQ

Do I need Claude Pro? Yes. Claude Projects require a Pro or Team subscription.

Does this place bets automatically? No. Claude gives you the recommendation; you place the bet manually. This is intentional — always review before acting.

What books does this work with? Any book you have access to. The system compares lines across whatever books you list in your Project settings.

How do I track my bets? Use the examples/sample-bet-log.md as a template and paste your results back into the chat so Claude can update its performance model.

Can I add my own data sources? Yes — the data ingestion skill file lists the search patterns Claude uses. Fork and extend them.

常见问题

What is sports-betting-claude?

sports-betting-claude is an open-source data processing skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by magicjordan33. A Claude Project skill system for disciplined, data-driven sports betting. One prompt → structured bet recommendation with EV%, unit sizing, and reasoning. It has 0 GitHub stars.

Is sports-betting-claude safe to use?

Yes. sports-betting-claude passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install sports-betting-claude?

Clone the repository with "git clone https://github.com/magicjordan33/sports-betting-claude" and add it to your Claude Code skills directory (see the Installation section above).

Are there alternatives to sports-betting-claude?

Yes. SkillsLLM lists many other Data Processing skills you can browse and compare side by side. Open the Data Processing category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh sports-betting-claude against similar tools.

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