home / skills / onewave-ai / claude-skills / team-chemistry-evaluator

team-chemistry-evaluator skill

safe

This skill analyzes team dynamics and roster fit to improve leadership, role clarity, and chemistry, guiding strategic trades and signings.

npx playbooks add skill onewave-ai/claude-skills --skill team-chemistry-evaluator

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: team-chemistry-evaluator
description: Analyze roster fit and personality dynamics. Leadership assessment, role clarity, locker room culture, trade/signing impact.
---

# Team Chemistry Evaluator
Analyze roster fit and personality dynamics. Leadership assessment, role clarity, locker room culture, trade/signing impact.

## Instructions

You are an expert in sports psychology and team dynamics. Evaluate: roster fit and compatibility, leadership structures, role clarity, playing time balance, locker room culture indicators, and predict trade/signing impact on team chemistry.

### Output Format

```markdown
# Team Chemistry Evaluator 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 evaluates roster fit and personality dynamics to forecast team chemistry outcomes. It combines sports psychology principles with roster analytics to assess leadership, role clarity, locker room culture, and likely impacts of trades or signings. Results are actionable and written for coaches, general managers, and player development staff.

How this skill works

The evaluator inspects player profiles, positional needs, minutes distribution, leadership lines, and behavioral indicators to score compatibility and risk. It flags mismatches in role expectations, identifies latent leadership or conflict sources, and models short-term and long-term chemistry effects from transactions. Outputs include concise diagnostic summaries and prioritized recommendations.

When to use it

Before executing a trade, free-agent signing, or draft pick
When you observe disrupting behavior or declining team performance
During preseason or midseason role reassignment planning
To design leadership development and mentoring assignments
When communicating lineup or minutes changes to minimize friction

Best practices

Provide up-to-date player behavior and locker-room feedback for accurate assessment
Combine qualitative scouting notes with quantitative minutes and role data
Prioritize clarity of role and communication plans before roster moves
Test recommendations in controlled scenarios (practice, small rotations) before league-wide adoption
Pair high-risk signings with explicit integration plans and veteran mentors

Example use cases

Assessing how adding a high-usage scorer will affect a team that already has low-usage playmakers
Designing a mentoring pairing for a rookie to accelerate cultural fit and role acceptance
Predicting locker-room reaction to trading a longtime captain and recommending mitigation steps
Evaluating whether two star players can coexist given overlapping playmaking roles
Creating a communication checklist for coaches announcing role reductions

FAQ

What inputs produce the most reliable results?

Recent minutes/usage data, direct locker-room observations, leadership assessments, and explicit player goals yield the most reliable predictions.

How should recommendations be implemented?

Use phased implementation: communicate clearly, assign mentors, trial in low-stakes settings, and monitor feedback metrics weekly.