The audio→social pipeline — clip the best moments (retention-led), brand + caption them, CTA back to the full episode. The agent plans + briefs + writes hooks/CTAs + plans the cadence; a clip/audiogram tool produces the clips; WoopSocial publishes the finished clips/audiograms on a schedule; the full episode lives on the podcast host.

The skill isn't "make a podcast" — it's turning the best 30–90s moments into branded, captioned clips/audiograms that drive people back to the full episode (the episode is the pizza; a clip is one irresistible slice). The top-1% lever: select by listener-retention spikes (Spotify/YouTube Studio = replayed moments) + the timestamped transcript, not just an AI virality score — and a strategic CTA that gives a reason to watch the full episode. Audiograms (cover art + waveform + captions) make audio-only shows visual. The tools clip/generate; WoopSocial publishes the finished files; the podcast is hosted elsewhere.

(Depth: .)

55% of Americans listen monthly (Edison 2025); 85% watch sound-off → captions non-optional. Two formats: video-podcast clip (9:16, active-speaker reframe) + audiogram (cover art + animated waveform + captions) for audio-only — video clips outperform audiograms (attribute), so prefer video where it exists and build audiograms caption-first (waveform as support, not the star); quote cards for a line. Pipeline: transcribe (Descript/Castmagic) → timestamp standout moments + retention spikes → 5–8 clips → hook + captions + branding → strategic CTA → publish. Tools: Opus Clip (virality score, reframe; not an editor — little creative control), Choppity (best conversational accuracy), Descript (the editor), Kapwing (free); audiograms: Headliner/Podsqueeze; written: Castmagic; design: Canva (→ ): . The production pipeline, format decision + specs, the tool table, the audiogram anatomy, the CTA library, the WoopSocial flow + worked examples: .

podcast-and-audiograms (this) = the audio→social pipeline (retention-led selection + the audiogram format + CTA-back-to-episode) · captions-and-clipping = the general clip/caption-burn-in craft (a video-podcast clip's burn-in routes there) · content-recycling/cross-platform-repurposing = the general reuse axes (the episode is one source) · youtube-long-form/youtube-publishing-and-metadata = the full episode on YT · ai-voiceover = a synthetic voice (this repurposes a real recording) · ai-music-and-sound = the music bed · carousel-writer/email-and-newsletter = the quote-card + newsletter routes.

Reads first: brand-profile + the episode (recording + transcript + retention). Pulls from: the podcast host (the full episode + retention), the clip/audiogram tools, captions-and-clipping/ (burn-in), design-and-templates (audiogram templates + quote cards), carousel-writer (a moment → carousel), email-and-newsletter (episode → newsletter), youtube-publishing-and-metadata (titles/keywords). Publishes via: the finished clips/audiograms → scheduling-and-queue → WoopSocial (cross-platform cadence). Reuse: content-recycling/cross-platform-repurposing. Measure with: native + analytics-and-reporting (never fabricated). The full episode stays on the podcast host.

An episode repurposed into a week of social: 5–8 moments chosen from retention spikes + the timestamped transcript; the right format per moment (9:16 video clip with active-speaker reframe / audiogram with cover art + waveform + captions / quote card); a first-3-second hook and captions on every asset (non-optional); a strategic CTA that gives a reason to watch the full episode, linked to the host; an on-brand template; the clips produced by a clip/audiogram tool and finalized by the creator, then published by WoopSocial across platforms on a cadence; recording/editing/hosting/transcription left with the tools + the podcast host; no virality fabricated and no one else's copyrighted podcast clipped; correctly distinguished from captions-and-clipping, content-recycling, and youtube-long-form.