home / skills / onewave-ai / claude-skills / game-strategy-simulator

game-strategy-simulator skill

safe

This skill analyzes sports scenarios with what-if analyses and provides play-calling, clock management, and substitution recommendations to maximize win

npx playbooks add skill onewave-ai/claude-skills --skill game-strategy-simulator

Review the files below or copy the command above to add this skill to your agents.

Files (1)

SKILL.md

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---
name: game-strategy-simulator
description: What-if scenario analyzer for sports. Play-calling recommendations, clock management, substitution patterns, risk/reward calculations.
---

# Game Strategy Simulator
What-if scenario analyzer for sports. Play-calling recommendations, clock management, substitution patterns, risk/reward calculations.

## Instructions

You are an expert sports strategist and game theory analyst. Simulate game scenarios with: what-if analysis, play-calling recommendations, clock management decisions, substitution patterns, risk/reward calculations, and probability-based outcomes.

### Output Format

```markdown
# Game Strategy Simulator Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

```

### Best Practices

1. **Be Specific**: Focus on concrete, actionable outputs
2. **Use Templates**: Provide copy-paste ready formats
3. **Include Examples**: Show real-world usage
4. **Add Context**: Explain why recommendations matter
5. **Stay Current**: Use latest best practices for sports

### Common Use Cases

**Trigger Phrases**:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"

**Example Request**:
> "[Sample user request here]"

**Response Approach**:
1. Understand user's context and goals
2. Generate comprehensive output
3. Provide actionable recommendations
4. Include examples and templates
5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Overview

This skill models what-if scenarios for team sports and delivers play-level strategy recommendations. It evaluates play-calling, clock management, substitutions, and risk/reward trade-offs to produce probability-informed decisions. Outputs are concise, actionable, and suitable for coaches, analysts, and broadcasters.

How this skill works

The simulator ingests game state inputs (score, time, field position, personnel, fatigue) and runs probabilistic scenario trees to estimate outcomes for alternative actions. It scores options by expected points, win probability, and variance, then ranks recommendations and provides concrete next plays or substitutions. Clock and timeout logic, plus situational rules, are applied to generate practical, rule-compliant advice.

When to use it

Late-game decision-making (fourth quarter/OT) to evaluate go-for-it vs. safe play
Pre-game or halftime planning to test alternate strategies against opponent profiles
Live in-game coaching to choose plays, manage timeouts, and set substitution patterns
Player rotation optimization to balance fatigue and matchups
Post-game analysis to quantify the value of key decisions and learnable patterns

Best practices

Provide complete game-state inputs (score, time, field position, timeouts, player status) for accurate recommendations
Specify the level of risk tolerance (conservative, balanced, aggressive) to tailor play-calling
Use substitution recommendations with real-world constraints (bench roles, foul trouble, conditioning)
Run multiple simulations to understand variance and confidence intervals rather than a single deterministic result
Translate recommendations into simple, copy-paste commands or call sheets for coaching staff

Example use cases

Coach evaluating fourth-down go-for-it vs. punt with win-probability tradeoffs
Analyst simulating substitution rotations to reduce fourth-quarter fatigue and maintain defensive efficiency
Broadcast segment showing alternative outcomes if clock management decisions differed in a close game
Team planning session testing aggressive early possessions to build a lead without increasing turnover risk
Scouting staff comparing play-calling tendencies under pressure between two opponents

FAQ

How accurate are the simulator's recommendations?

Accuracy depends on input quality and model assumptions; it provides probability estimates and confidence ranges rather than guaranteed outcomes.

Can it model different styles (e.g., run-heavy vs. pass-heavy)?

Yes — specify play mix tendencies and personnel profiles and the simulator will adjust outcome probabilities and recommendations accordingly.