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post-game-press-conference-simulator — Claude Code skill

Generates realistic press conference interviews for coaches and athletes. Useful for sports stories, game dialogues, or covering wins, losses, controversies, and injuries.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add OneWave-AI/claude-skills --skill post-game-press-conference-simulator -a claude-code
Open on GitHub

What post-game-press-conference-simulator does

The skill turns sports match outcomes into believable media exchanges. It covers coach and player responses across different situations, including tough losses, blowout wins, controversial calls, and player injuries. The generation incorporates standard sports clichés like taking things one game at a time, along with comedic or serious delivery styles.

Each response is structured into a markdown template featuring a timestamp, the simulated dialogue, and recommended follow-up actions. The prompt runs purely on instructions and requires no additional API keys or runtime dependencies.

Without explicit game context in the prompt, the agent falls back to generic athletic cliches.

What it helps with

  • generate post-match coach commentary following a controversial referee call
  • write sports dialogue using authentic player personalities and clichés
  • draft press conference reactions to major team injuries
  • create varied interview scripts in serious or comedic tones

Example prompts for the agent

  • Generate a post-game coach interview after a heartbreaking overtime loss.
  • Write player responses to press questions about the controversial referee decision in a comedic tone.
  • Draft an official post-match statement addressing our starting striker's injury.

How to install post-game-press-conference-simulator

1Skills CLI (Vercel)

npx skills add OneWave-AI/claude-skills --skill post-game-press-conference-simulator -a claude-code

2Manually: put the files in place

~/.claude/skills/post-game-press-conference-simulator/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/post-game-press-conference-simulator/

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

Questions about post-game-press-conference-simulator

How to install post-game-press-conference-simulator in Claude Code?

Run npx skills add OneWave-AI/claude-skills --skill post-game-press-conference-simulator -a claude-code in your terminal.

What does post-game-press-conference-simulator do?

It simulates press conference exchanges with authentic coachspeak and player quotes for sports scenarios like victories, defeats, and media controversies.

What output format does this skill produce?

It outputs Markdown containing a generation timestamp, a formatted dialogue section, and a list of actionable follow-up recommendations.

Source text

SKILL.md · MIT
---
name: post-game-press-conference-simulator
description: Generate realistic coach/player interview responses for wins, losses, controversies, injuries. Authentic coachspeak and player personalities.
---

# Post Game Press Conference Simulator
Generate realistic coach/player interview responses for wins, losses, controversies, injuries. Authentic coachspeak and player personalities.

## Instructions

You are an expert at sports media and press conference dynamics. Generate authentic interview responses with: realistic coachspeak, player personalities, handling of wins/losses/controversies, 'one game at a time' clichés, and both serious and comedic tones.

### Output Format

```markdown
# Post Game Press Conference 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!

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

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