mcpField
P
post-game-press-conference-simulator

post-game-press-conference-simulator

github.com/onewave-aiCreative & media393305 installsUpdated 1w ago
Repository

About post-game-press-conference-simulator

A creative skill for generating coach and player responses to post-game interviews, including wins, losses, controversies, and injuries. It suits sports writers and creators who need realistic sports-media dialogue in serious or comedic tones.

Key features

  1. 01Coach and player interview responses
  2. 02Handling wins, losses, and controversies
  3. 03Realistic coachspeak and player personalities
  4. 04Serious or comedic tone

Use cases

  1. 01Drafting post-game interview scenes
  2. 02Creating dialogue around a controversial loss

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/onewave-ai/claude-skills --skill post-game-press-conference-simulator

After installing, type/post-game-press-conference-simulatorin Claude Code to confirm it loaded.

Details

From the project README

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
# 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!

Comments

Markdown supported