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Podcast Rss Feed Audio Normalizer

Category: Growth & Marketing  ·  Sub-category: content-marketing  ·  Last updated:
Parses podcast RSS feeds with feedparser and normalizes audio loudness to -16 LUFS broadcast standard using ffmpeg loudnorm filter with dual-pass EBU R128 analysis. Integrates with Podbean API and Buzzsprout API for automated episode re-upload.
Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Podcast Rss Feed Audio Normalizer includes a dedicated installation section.

Source
agentskillexchange.com/skills/podcast-rss-feed-audio-normali…
Indexed lastmod
Catalog position
Growth & Marketing · content-marketing
Indexed related skills
10

How Podcast Rss Feed Audio Normalizer fits the catalog

Podcast Rss Feed Audio Normalizer sits in the Growth & Marketing category under the content-marketing sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Parses podcast RSS feeds with feedparser and normalizes audio loudness to -16 LUFS broadcast standard using ffmpeg loudnorm filter with dual-pass EBU R128 analysis. Integrates with Podbean API and Buzzsprout API for automated episode re-upload.

What this skill does

Podcast Rss Feed Audio Normalizer is a community-contributed Claude Code skill in the content-marketing sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/podcast-rss-feed-audio-normalizer/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Podcast Rss Feed Audio Normalizer Claude Code skill is built for growth marketers, product-led growth teams, founders running experiments, and performance marketing teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 115,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/podcast-rss-feed-audio-normalizer
curl -L https://claudskills.com/skills/podcast-rss-feed-audio-normalizer/SKILL.md \
  -o ~/.claude/skills/podcast-rss-feed-audio-normalizer/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/podcast-rss-feed-audio-normalizer/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/podcast-rss-feed-audio-normalizer/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\podcast-rss-feed-audio-normalizer\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Podcast Rss Feed Audio Normalizer Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/podcast-rss-feed-audio-normalizer/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Podcast Rss Feed Audio Normalizer skill do?
Parses podcast RSS feeds with feedparser and normalizes audio loudness to -16 LUFS broadcast standard using ffmpeg loudnorm filter with dual-pass EBU R128 analysis. Integrates with Podbean API and Buzzsprout API for automated episode re-upload.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Podcast Rss Feed Audio Normalizer skill?
Use Podcast Rss Feed Audio Normalizer when your Claude Code task falls under the Growth & Marketing category — specifically in the content marketing area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Podcast Rss Feed Audio Normalizer" or describe the task and let Claude pick). Browse related skills at /category/growth/.
What is a Claude Code skill and how does the Podcast Rss Feed Audio Normalizer skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Podcast Rss Feed Audio Normalizer is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Growth & Marketing category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
ClaudSkills. (2026). Podcast Rss Feed Audio Normalizer [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/podcast-rss-feed-audio-normalizer/
BibTeX
@misc{podcast-rss-feed-audio-normalizer-2026,
  author    = {ClaudSkills},
  title     = {Podcast Rss Feed Audio Normalizer [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/podcast-rss-feed-audio-normalizer/}
}

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Security scan

Grade A · scanned 2026-06-13 — free static scan against the OWASP Agentic Skills Top 10.

No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›

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