podcast-ops
Skill1 starsChanged 6 months agoMITView on GitHub
Podcast growth and content multiplication system that goes beyond episode-to-posts conversion. Use when: process this episode, score guest candidates for [topic], calculate sponsorship rates, find cross-promo partners, generate content calendar from episode, show podcast analytics.
In this repository12 other files it gives its agents.
- content-opsSkill
- conversion-opsSkill
- creative-opsSkill
- finance-opsSkill
- growth-engineSkill
- outbound-engineSkill
- revenue-intelligenceSkill
- sales-pipelineSkill
- sales-playbookSkill
- seo-opsSkill
- team-opsSkill
- voice-guardSkill
The file
Files
Podcast Ops
Podcast growth and content multiplication system that goes beyond episode-to-posts conversion. Includes guest outreach scoring, sponsorship valuation, cross-promotion network mapping, audiogram/video clip automation, and performance analytics.
When to Use
- Process this episode
- Score guest candidates for [topic]
- Calculate sponsorship rates
- Find cross-promo partners
- Generate content calendar from episode
- Show podcast analytics
- Plan next 90 days of episodes
- Extract clips from [episode]
Workflow
- Episode Ingestion -- upload audio/video or provide RSS feed URL. Auto-transcribe via Whisper
- Content Atom Extraction -- identify quotable moments, frameworks, stories, data points, hot takes
- Viral Scoring -- score each atom: (Novelty * 0.30) + (Controversy * 0.25) + (Utility * 0.25) + (Emotion * 0.20)
- Multi-Platform Generation -- create 25+ content pieces with platform-specific formatting
- Audiogram/Clip Selection -- pick top 10 moments with timestamps for audio and video clips
- Publishing Calendar -- schedule content pieces across platforms over 7-14 days
- Guest Pipeline Management -- score prospective guests, generate pitches, track outreach
- Sponsorship Pricing -- calculate rate card based on latest download and engagement data
- Cross-Promo Outreach -- identify partner podcasts, generate mutual promo proposals
- Performance Review -- weekly analytics digest with growth trends and content performance
Reference
Full methodology lives in README.md in this folder: configuration, scoring formulas, output formats, integration points, and worked examples. Read it before producing scored output.
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