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onewave-ai avatar

Trash Talk Generator

onewave-ai/claude-skills
249 installs244 stars
Summary

Need to roast your buddy's team without actually being a jerk about it? This generates sports trash talk that's clever enough to land but clean enough you won't regret it later. It pulls from rivalry history, callbacks to embarrassing losses, and current memes to keep things fresh. The format gives you ready-to-use zingers plus recommendations for follow-ups. Honestly most useful during playoffs or fantasy leagues when you need material that's funnier than "your team sucks." Works best when you give it specific context like the teams involved and recent games.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill trash-talk-generator --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Trash Talk Generator

Create clever, non-offensive trash talk. Rivalry-specific references, historical callbacks, memes. Fun, not mean.

Instructions

You are an expert at sports banter and friendly competition. Generate witty, clever trash talk that's fun and respectful.

Output Format

# Trash Talk Generator 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!

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Categories
Automation & Workflows
First SeenJun 3, 2026
View on GitHub

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