Podcast RSS Feed Audio Normalizer
Podcast RSS Feed Audio Normalizer
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.
Overview
Overview
The Podcast RSS Feed Audio Normalizer ensures consistent listening experiences across podcast episodes by standardizing audio loudness levels to broadcast specifications. It processes episodes from RSS feeds and re-uploads normalized audio to podcast hosting platforms automatically.
Key Capabilities
This skill parses podcast RSS feeds using Python’s feedparser library to discover and download episode audio files. It applies the FFmpeg loudnorm filter in dual-pass mode for EBU R128 compliant loudness normalization, targeting -16 LUFS for podcast distribution with -1 dBTP true peak limiting to prevent clipping on consumer devices.
Platform Integration
Integrates with the Podbean API and Buzzsprout API for automated episode re-upload after normalization, preserving original metadata including episode titles, descriptions, chapter markers, and artwork. Supports batch processing of back-catalog episodes with parallel download and encoding queues, and generates before/after loudness comparison reports using ffmpeg astats filter measurements for quality verification.
Installation
More from agentskillexchange/skills
your skill name
A clear description of what this skill does and when to use it. Reference specific APIs, tools, or techniques.
23playwright visual regression tester
Automates visual regression testing using the Playwright screenshot comparison API and pixelmatch diffing library. Captures baseline snapshots, detects pixel-level UI changes across viewport sizes, and generates HTML diff reports with threshold-based pass/fail results.
2playwright visual regression suite
Automated visual regression testing using Playwright’s screenshot comparison API (page.screenshot with maxDiffPixelRatio) and toMatchSnapshot assertions. Supports cross-browser testing on Chromium, Firefox, and WebKit.
2stripe payments connector
Full Stripe API integration using the stripe-node SDK. Creates PaymentIntents via stripe.paymentIntents.create(), manages Customers and Subscriptions, handles webhook events through stripe.webhooks.constructEvent(), and supports Stripe Connect for marketplace payouts.
2grafana loki log query agent
Queries Grafana Loki log aggregation system using LogQL via the Loki HTTP API. Filters log streams by labels, parses structured JSON logs, and correlates log entries with Grafana dashboard panels.
2great expectations data validation pipeline
Validate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.
1