agentleFS
codewhale-hqcodewhale-hq/codewhale-plugin-marketplace/skills/podcast/SKILL.md

podcast

Skill5 starsChanged 18 days agoMITView on GitHub

Turn research into a spoken podcast — script, synthesize, stitch. Use when: podcast, generate a podcast, audio briefing, narrate, or turn this into audio.

  • Installs packages

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not publish or upload the episode anywhere.

    line 25
  2. Distinctive:

    Do not synthesize more than the approved script.

    line 26
  3. Very specific:

    Do not clone real people's voices (see tts non-goals).

    line 27

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Podcast

When to use

Producing a spoken-audio episode from a topic, document set, or briefing — the full pipeline from research to an mp3.

Setup

Requires ffmpeg for stitching (brew install ffmpeg, apt install ffmpeg). Voices come from the tts skill. Fail loud when ffmpeg is missing.

Workflow

  1. Research the topic and draft a spoken script (~150 words per minute of audio). Read it back for approval before synthesizing.
  2. Synthesize per segment with tts; keep segments under 2 minutes each.
  3. Stitch: ffmpeg -f concat -safe 0 -i segments.txt -codec:a libmp3lame out.mp3.
  4. Report duration, segment count, and the output path.

Non-goals

  • Do not publish or upload the episode anywhere.
  • Do not synthesize more than the approved script.
  • Do not clone real people's voices (see tts non-goals).

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.