Short Publish

Overview

This skill automates the complete "video → subtitles → Postiz" pipeline: run Whisper-based transcription, burn subtitles with the bundled Python script, turn the transcript into a multi-platform copy block, and program four social channels (YouTube, LinkedIn, X, Instagram) through the Postiz MCP integration.

Inputs & Prerequisites

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Arguments:
- •PATH – absolute path to the source video (MOV/MP4/etc.).
- •DATETIME – publication date/time (accepts natural language like "tomorrow 09:00"). Use date to confirm the current timestamp if needed.
•Tooling: always use the MCP tools (postiz-upload-file, postiz-create-post) exposed by postiz_mcp. Never fall back to the Postiz CLI.
•Script dependency: scripts/transcribe_burn.py wraps Whisper, ffmpeg, and auto-gain. Requires Python 3.8+, ffmpeg, and openai-whisper installed for the user; no extra configuration is needed inside this skill.
•Timezone: default to Europe/Madrid. In winter assume UTC+01:00 (CET) when presenting final schedules if the date command does not provide the offset.

Workflow

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Collect inputs
- •Confirm the provided PATH exists; stop with a descriptive error if not.
- •Resolve DATETIME to an ISO timestamp. Use date -j -f or another deterministic macOS command when the input is natural language so Postiz receives an unambiguous value.
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Transcribe and burn subtitles
- •Run the bundled helper: python3 scripts/transcribe_burn.py "$PATH".
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  Outputs (all written next to the original video):
  - •<stem>.srt, <stem>.ass, <stem>.txt, <stem>_caption.txt, <stem>_subtitled.mp4.
- •The _subtitled.mp4 is the media you will upload; everything else is transient reference material. Remove the generated artifacts (srt/ass/txt/caption/mp4_subtitled/normalized wav) once they have been read and the upload succeeds—never delete the original video.

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Generate the social copy

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Read <stem>.txt for the full transcript.

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Apply the exact copywriting prompt below to the transcript; do not improvise structure or tone beyond the template.

code

Act as an expert LinkedIn copywriter building authority content.
Transform the TRANSCRIPT into a case-study or practical-lesson post with this structure:
1. Hook headline with a leading emoji.
2. 2-3 sentence context introducing the situation.
3. Structured core (use 1️⃣/2️⃣/3️⃣ or ✅ and bold keywords per line).
4. Closing takeaway line.
5. Optional P.S. only when the transcript mentions an offer/event.

Style rules: short paragraphs (1-2 lines), intentional emoji usage, no invented facts, stay faithful to the transcript.

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Reuse the single output block verbatim for LinkedIn, X, and Instagram, and as the YouTube description (light line breaks allowed). Craft a YouTube title ≤100 characters from the same content.

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Upload the subtitled video
- •Use postiz-upload-file with the _subtitled.mp4 path. Capture the returned public URL; Postiz expects this URL inside the images array for all channel posts.
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Schedule the four posts via postiz-create-post
- •Integrations come from ~/.config/skills/config.json under postiz.groups.short_publish.
- •Use x-es by default for X unless the user explicitly asks for x-en.
- •
  Payload guidelines:
  - •content: the copy block described above.
  - •images: ["<uploaded_mp4_url>"] so Postiz attaches the video.
  - •scheduledDate: resolved ISO timestamp based on DATETIME.
- •YouTube requires an explicit title and defaults to type=public; ensure the MCP call includes the generated title field.
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Report completion
- •Confirm each scheduled post by echoing the returned IDs and their scheduled time in CET (UTC+01:00 during winter). Example: YouTube cm... → 2025-01-11T10:00:00+01:00 (CET).

Resources

•scripts/transcribe_burn.py: Whisper + ffmpeg pipeline used in Step 2. Copy-safe to reuse elsewhere but do not edit unless the video workflow changes. Running the script produces all intermediate assets and the burned MP4 referenced throughout the workflow.