Audio, image and video work: text-to-speech through an OpenAI-compatible endpoint (with a Russian fallback), audio/video transcription, image generation and editing, quick ffmpeg screenshot demo videos (while HyperFrames handles motion graphics and promos), YouTube transcript/content extraction, and the 4-stage novel-* short-drama pipeline.
$npx -y skills add youlianvr/oper-share --skill media --agent claude-code
Installs into .claude/skills of the current project.
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---
name: media
description: >-
Audio, image and video work: text-to-speech through an OpenAI-compatible
endpoint (with a Russian fallback), audio/video transcription, image generation
and editing, quick ffmpeg screenshot demo videos (while HyperFrames handles
motion graphics and promos), YouTube transcript/content extraction, and the
4-stage novel-* short-drama pipeline.
---
# media — speech, image, video, and story production
> Home branch in Memora: `root/skill/media`.
>
> For motion graphics, animated explainers, and product promos, use the
> `hyperframes` skill first; use `parts/demo-video/` here when you need a fast
> `ffmpeg` stitch of existing screenshots with TTS narration.
## Choosing a part
| Task | Part |
|---|---|
| Russian & multilingual TTS fallback (`edge-tts` / local pipeline, default voice path) | `parts/ru-tts-fallback/` |
| Speech synthesis via an OpenAI-compatible `/v1/audio/speech` endpoint | `parts/speech/` |
| Audio/video transcription to text | `parts/transcribe/` |
| Generate or edit images via `scripts/generate.py` (a local gateway or provider keys from the root `.env`) | `parts/image-generation/` |
| Fast `ffmpeg` + `edge-tts` video stitch from HTML scenes or screenshots | `parts/demo-video/` |
| Extract transcripts from YouTube videos | `parts/youtube-transcripts/` |
| Extract full structured content from YouTube videos | `parts/youtube-full/` |
| Short-drama stage 1: adaptation brief, cast, hook/beat table → `outline.json` | `parts/novel-outline/` |
| Short-drama stage 2: character profiles, image/voice prompts, character sheets | `parts/novel-characters/` |
| Short-drama stage 3: scene sets, consistency anchors, lighting variants | `parts/novel-art/` |
| Short-drama stage 4: timed screenplay with dialogue and beat flows → `script.json` | `parts/novel-script/` |
## Rules
- Walk `root/skill/media` in Memora before starting; record working voice/image models and pipeline parameters as nodes.
- Route TTS and image calls through the OpenAI-compatible base URL in the root
`.env` (`OPENAI_API_BASE` and its key). Never pay or create an external account
without the owner's approval through the host's question channel.
- Save generated images, audio, and video inside the target project's directory, and open the deliverable for the owner with `reveal_file`.
## Related
`ai-image-prompts-skill` (prompt engineering and style libraries), `decks` (slide presentations), `design` (visual composition).
