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mvp-case-builder — Claude Code skill: build an MVP case

Turns raw stats into a voting argument for an MVP or awards race: numbers, narrative, comparisons to past winners.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add OneWave-AI/claude-skills --skill mvp-case-builder -a claude-code
Open on GitHub

What mvp-case-builder does

The skill takes a pile of statistics and shapes it into a case a voter can read. It builds the argument from the numbers, explains advanced metrics in plain terms, pulls historical parallels with past winners, and pre-empts the counter-arguments. Output is a markdown breakdown with a recommendations block on what to shore up next.

Everything lives in SKILL.md: the role of sports analyst and award-voting strategist, the markdown output format, and practices like concrete examples and copy-paste templates. No scripts, no external services — the model and your data do the work.

It is aimed at sports awards, so on other topics you get a generic answer with none of the league-specific framing. Bring the stats yourself; without them the model drifts into vague prose. Install runs through npx skills add on Claude, Codex, Cursor, Gemini CLI and OpenCode.

What it helps with

  • build a player's MVP case from scattered season stats
  • explain advanced metrics to voters who still read box scores
  • find a comparison to past winners that fits this race
  • answer the counter-arguments against your candidate before they land
  • format the whole breakdown in markdown with next steps

Example prompts for the agent

  • Build an MVP case for Jokic using his season stats and compare him to past winners
  • Explain PER and win shares so a voter without an analytics background gets it
  • What counter-arguments will come up against my candidate, and how do I answer them with numbers?

How to install mvp-case-builder

1Skills CLI (Vercel)

npx skills add OneWave-AI/claude-skills --skill mvp-case-builder -a claude-code

2Manually: put the files in place

~/.claude/skills/mvp-case-builder/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/mvp-case-builder/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about mvp-case-builder

How do I install mvp-case-builder in Claude?

Run npx skills add OneWave-AI/claude-skills --skill mvp-case-builder -a claude-code. The skill lands in ~/.claude/skills/mvp-case-builder/SKILL.md.

What does mvp-case-builder do?

It constructs a statistical case for a player in an MVP or awards race: numbers, narrative framing, comparisons to past winners, and answers to counter-arguments.

Which platforms support the skill?

Claude, Codex, Cursor, GitHub Copilot, Gemini CLI and OpenCode, each with its own install command.

Source text

SKILL.md · MIT
---
name: mvp-case-builder
description: Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.
---

# Mvp Case Builder
Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.

## Instructions

You are an expert sports analyst and award voting strategist. Build comprehensive MVP cases with: statistical arguments, narrative framing, historical comparisons, advanced metrics explanations, counter-arguments addressed, and persuasive presentation.

### Output Format

```markdown
# Mvp Case Builder 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!

© OneWave-AI · MIT · OneWave-AI/claude-skills

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