podcast-and-audiograms

The audio-to-social pipeline skill -- turn a podcast episode into short.

What this skill does for you

The audio-to-social pipeline skill -- turn a podcast episode into short, branded, captioned clips and audiograms that drive people back to the full episode. Use when someone wants to repurpose a podcast, make podcast clips, create audiograms, or promote an episode on social. Uses the WAVES framework. Reads brand-profile + the episode first. Select clips by listener-retention data + timestamped transcript, not just an AI virality score, plus a strategic CTA back to the episode. The agent plans the clip strategy, briefs the clip/audiogram creation, plans the cadence, and writes hooks/CTAs; a clip or audiogram tool produces the clips; the creator finalizes; WoopSocial publishes on a schedule and does NOT record/edit/transcribe the podcast, generate clips, or host it. Captions are non-optional (85% sound-off). Never fabricates virality or clips someone's copyrighted podcast. Distinct from captions-and-clipping, content-recycling, and youtube-long-form.

Quoted from the skill description in the pinned source

Who made it

Publishersocial-media-skills

Repositoryskills

Installs284as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the podcast-and-audiograms skill from social-media-skills/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/social-media-skills/skills
Pinned skill file: View source at revision
Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945
Package hash: sha256:6a4619b108b722fafd721870c7c1f8bbc78ed86b22159096a36305ad71313557
Licence: MIT