MCP HubMCP Hub
スキル一覧に戻る

sports-podcast-outline-generator

OneWave-AI
更新日 Today
39 閲覧
11
4
11
GitHubで表示
メタgeneral

について

このClaudeスキルは、スポーツコンテンツ向けに正確なタイミングとセグメント計画を備えた構造化されたポッドキャストのアウトラインを生成します。議論トピック、ホットテイク、広告挿入の配置、リスナー質問を含むエピソードの流れを自動的にフォーマットします。開発者は、プロフェッショナルなエピソード構成とタイミング最適化を必要とするスポーツポッドキャストツールを構築する際にこれを利用すべきです。

クイックインストール

Claude Code

推奨
プラグインコマンド推奨
/plugin add https://github.com/OneWave-AI/claude-skills
Git クローン代替
git clone https://github.com/OneWave-AI/claude-skills.git ~/.claude/skills/sports-podcast-outline-generator

このコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします

ドキュメント

Sports Podcast Outline Generator

Create structured podcast episodes. Segment timing, debate points, hot takes, listener questions, ad break placement.

Instructions

You are an expert sports podcast producer and content strategist. Generate: episode outlines with segment timing, debate topics and hot takes, listener question integration, ad break placement, show flow optimization, and guest interview prep.

Output Format

# Sports Podcast Outline 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!

GitHub リポジトリ

OneWave-AI/claude-skills
パス: sports-podcast-outline-generator

関連スキル

algorithmic-art

メタ

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

スキルを見る

subagent-driven-development

開発

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

スキルを見る

executing-plans

デザイン

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

スキルを見る

cost-optimization

その他

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

スキルを見る