AI-Powered Podcast Episode Publisher: Optimize Shownotes & Metadata

AI-Powered Podcast Episode Publisher: Optimize Shownotes & Metadata

The AI-Powered Podcast Episode Publisher skill efficiently packages your rendered podcast episodes for publishing across various platforms. It automatically generates markdown shownotes, timestamped chapter markers, and appropriate metadata tailored for distribution on platforms such as Xiaoyuzhou, Ximalaya, and Apple Podcasts. It ensures compliance with AI content disclosure requirements, reading directly from the provided script and synthesis plan.

What this skill does

• Generates markdown shownotes including a concise episode summary, key points, resources with links, a terminology guide, and a production statement.
• Creates timestamped chapter markers adhering to the Podcasting 2.0 style.
• Compiles platform-specific metadata, utilizing predefined formulas for titles, episode numbering, and cover specifications.
• Incorporates a mandatory AI-content disclosure statement to meet multi-platform requirements.
• Operates on inputs such as the podcast script and synthesis plan, verifying that essential data is complete before proceeding.

Who it is for

• Developers and teams using AI coding agents such as Claude Code, Cursor, and Codex.
• Podcast producers seeking to automate the packaging and distribution of podcast episodes.
• Technical teams responsible for ensuring platform compliance in content distribution.

Use cases

• Publishing a newly synthesized podcast episode to Xiaoyuzhou and Apple Podcasts simultaneously, ensuring all metadata and shownotes are correctly formatted.
• Automating the generation of consistent, platform-compliant metadata for a podcast series, reducing the manual input required.
• Streamlining the workflow from podcast script completion to episode publication by encapsulating production data into a ready-to-publish format.

Technical details

• Requires inputs from previous stages: a podcast script and a synthesis plan from the tts-voice-director.
• Supports default formatting for Xiaoyuzhou and Apple Podcasts, with additional specifications configurable upon input.
• Utilizes markdown format for creating structured and readable shownotes.
• Operates exclusively through prompt-driven processes, eliminating runtime dependencies.

Source & Licence

This package is built on open-source work published by X33834 (X33834/awesome-skillkit) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.