Sora Distribution

Sora Creator Distribution Pipeline

This skill walks you through the complete workflow to go from a raw folder of downloaded Sora videos to a fully scheduled social media content calendar — with minimal daily involvement after setup.

Note: This skill was built for @thesoragirls, an AI pop group, and uses thesoragirls / SoraGirls as placeholder values throughout — including in scripts/build_schedule.py and the Google Apps Script (scripts/get_drive_links.gs, where the output sheet is named SoraGirls_DriveLinks). Before starting, ask the user for their group name and cross-platform handle so you can swap these out. For example: "This skill uses @thesoragirls and SoraGirls as example placeholders in a few places. What's your group name and handle so I can update them?"

Overview

The pipeline has 5 stages:

1. Organize — rename and categorize your video library
2. Review — watch and label each clip
3. Host — upload to Google Drive for public URLs
4. Build — generate a Metricool-compatible schedule CSV
5. Import — bulk-load into Metricool and publish

Read the full reference at references/pipeline.md before starting. The helper scripts for stages 3–5 are in scripts/.

Stage 1: Organize Your Library

Your downloaded Sora videos will have hash-based filenames like 19700121_0349_691af15288e.mp4. Rename them to a consistent convention so everything is trackable:

Naming format: SG_[SOURCE][TYPE][MEMBER]_[###].mp4

• SOURCE: where it was downloaded from (e.g., TSG for your main account, UA for a secondary)
• TYPE: content type — MV, CONCERT, VLOG, STUDIO, COMEDY, NARRATIVE, ACTIVITY, DANCE, SPORT, PROMO, EVENT, ART
• MEMBER: who appears — GROUP, or individual member names
• ###: zero-padded sequence number per type/member combo

Ask the creator:

• What are the source folder names (where did you download to)?
• Who are the members/characters in your group?
• What content types do you produce?

Build a master CSV tracker with these columns: new_filename, original_filename, source, content_type, members, caption, duration_sec, file_size_mb, notes, dest_folder

The notes field is used to flag videos for deletion: add [DELETE_CANDIDATE] to exclude them from scheduling.

Stage 2: Review & Categorize

Build an HTML review tool so the creator can watch each clip in the browser and label it. The tool should:

• Embed the video (using the local file path)
• Show current metadata (filename, caption, type, member)
• Let them edit caption, type, member inline
• Save changes back to the master CSV

Do this in batches if the library is large (100–200 clips per session). After each session, update the master CSV.

Key fields to collect per video:

• Caption (what you'd actually post)
• Content type
• Member(s) featured
• Flag for deletion if not postable

Stage 3: Host on Google Drive

Metricool requires a publicly accessible URL for each video. Google Drive works well.

Step 1 — Upload your videos: Upload the entire organized folder to Google Drive. Make sure you're uploading the real video files (not 0-byte placeholders). Use Google Drive for Desktop for large batches — it's more reliable than browser drag-and-drop.

Step 2 — Run the Apps Script to generate share links:

1. Go to script.google.com
2. Create a new project, paste the script from scripts/get_drive_links.gs
3. Replace PASTE_YOUR_FOLDER_ID_HERE with the folder ID from your Drive URL
   • The folder ID is the long string after /folders/ in the URL
4. Click Run → getVideoLinks
5. A new Google Sheet called SoraGirls_DriveLinks will be created in your Drive
6. Download it: File → Download → CSV

The script automatically makes every .mp4 publicly viewable and outputs a two-column table: filename, drive_url.

Stage 4: Build the Metricool Schedule CSV

Use scripts/build_schedule.py to generate the import-ready CSV.

Before running, you'll need:

• The master tracker CSV (with your 485 active videos)
• The DriveLinks CSV from Stage 3
• Answers to:
  • Which platforms? (TikTok / X / Instagram — or all three)
  • Start date?
  • Posts per day? (10/day is a strong cadence for growth)

Caption cleaning rules baked into the script:

• @thesoragirls (your actual cross-platform handle) stays as-is with the @
• All other Sora-platform handles (e.g., @ava.girl, @crystal.party) get stripped of @ and dot-suffix, with the base name capitalized: Ava, Crystal
• If your group has a different handle, update OFFICIAL_HANDLE at the top of the script

Posting times (default, 10/day): 07:00, 09:00, 11:00, 13:00, 15:00, 17:00, 19:00, 20:30, 22:00, 23:30

These hit the main engagement windows across US time zones. Adjust in the script if needed.

Hashtag logic:

• All posts get #AIMusic #AIPop + a content-type tag (e.g., #MusicVideo, #Vlog)
• Group posts get #[GroupName]; solo posts get #[GroupName] #[MemberName]

Run the script and it will produce Sora_Metricool_Schedule.csv.

Stage 5: Import to Metricool

1. Go to Planning in Metricool
2. Click the ⋮ (three dots) menu in the top right of the calendar
3. Select Import CSV
4. Upload Sora_Metricool_Schedule.csv
5. When prompted for date/time format, select YYYY-MM-DD and HH:MM:SS
6. Review the preview and confirm

If the import fails:

• Check that your Drive share links are working (open one in an incognito window)
• Make sure the video files in Drive are not 0 bytes — this means the upload didn't complete
• Verify the time format includes seconds (e.g., 07:00:00 not 07:00)

Ongoing Workflow

Once the backlog is scheduled, keep the pipeline going for new videos:

1. Download new Sora videos → add to master CSV with new filenames
2. Review captions and labels
3. Upload to same Google Drive folder
4. Re-run the Apps Script (it'll add new files to the sheet)
5. Run build_schedule.py for just the new batch, using a start date after your last scheduled post
6. Import the new CSV into Metricool

Key Numbers to Track

• Total active videos in library
• Days of scheduled content remaining
• New videos added per day
• Platforms connected in Metricool

Troubleshooting