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Hebrew Podcast Post-Production Kit
Trusted86/100Complete post-production package for Hebrew podcasts: RTL show notes with Spotify and Apple chapter markers, identification of 3-5 shareable 30-90 second clips, FFmpeg commands for extraction and Hebrew subtitle burn-in, and platform-tuned captions for Instagram Reels, TikTok, X, and LinkedIn. Use when shipping a Hebrew podcast episode from a Whisper transcript or SRT file and you need show notes, chapters, clips, and social captions in one coherent output without stitching together 4-5 separate tools and without tripping over RTL, nikud, and Hebrew subtitle burn-in bugs that generic tools (Kapwing, Maestra, Descript, Podsqueeze) mishandle. Do NOT use for standalone audio transcription (use video-subtitles), podcast RSS feed generation, audio mixing and mastering, or English-only podcasts.
Trust score 86/100 (Trusted) · 10+ installs · MIT license
The Problem
Hebrew podcasters ship every episode through 4-5 disconnected tools: one for transcription, one for show notes, another for clip-hunting, another for social captions, plus FFmpeg for the actual cutting. Generic tools (Kapwing, Maestra, Descript, Podsqueeze) mishandle RTL text, drop nikud, and produce broken subtitle burn-ins because they do not run FriBidi for Hebrew. This skill consolidates the entire post-production workflow into one coherent package from a single transcript input.
skills-ilnpx skills-il add skills-il/marketing-growth@v1.0.0-hebrew-podcast-postproduction --skill hebrew-podcast-postproduction -a claude-codeInstall on Claude.ai, Claude Desktop, ChatGPT, Manus, or other platforms
- 1. Click "Download ZIP" to download the skill files.
- 2. Open Claude Desktop and go to Customize > Skills.
- 3. Click "+" and select "Upload a skill", then upload the ZIP file.
- 4. Start a new conversation. The skill will activate automatically when relevant.
When to Apply
- When you need to generate RTL show notes with Spotify and Apple chapter markers from a Whisper or ElevenLabs Scribe transcript
- When you want to identify the 3-5 most shareable moments from an episode and produce FFmpeg clip-extraction commands with Hebrew subtitle burn-in
- When you need Hebrew platform-specific captions for Instagram Reels, TikTok, X, and LinkedIn for podcast clips
- When cleaning up a back catalog of episodes that lack proper chapter markers or show notes
- When publishing to Apple Podcasts for the first time and need an RSS feed with chapters.json
Try These Prompts
Build full bundle
I have a 47-minute Hebrew podcast Whisper transcript. Build me the full bundle: RTL show notes, a chapters.json file, 4 sixty-second clips with FFmpeg commands, and Instagram/TikTok/X/LinkedIn captions for each clip.
Just the chapters
I have an existing episode with show notes but no chapter markers. Take the attached transcript, identify 6-10 natural chapters, and output both the Spotify format (to paste into the description) and chapters.json for the RSS feed.
Clip picker
From the attached transcript, pick the 3 most shareable 30-90 second segments. Give me a score for each with reasoning, and generate FFmpeg commands to extract them from episode-12.mp3.
Burn-in subtitles
I have a Hebrew SRT file and an MP4 video of a clip. Give me an FFmpeg command to burn the subtitles onto the video with proper RTL handling, Heebo font, and positioning that will not be covered by Instagram Reels UI.
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