# Hao0321/video-autopilot-kit

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

Repository: https://github.com/Hao0321/video-autopilot-kit
Canonical: https://ross.abutalabs.com/products/video-autopilot-kit
Language: Python
License: MIT
License Family: permissive
Topics: capcut, content-creation, creator-tools, ffmpeg, python, shorts, video-automation, youtube
Last push: 2026-08-20T20:16:24+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 98, longevity 6
- inputs: {"age_days": 93, "days_push": 13, "days_rel": 13, "gap_med": 0.0, "n_releases_24m": 25}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1926, forks 310 (observed 2026-08-28T04:05:55.496622+00:00)

## What it is
A fill-in-your-own-data Python framework for automating YouTube and short-form video production, combining a pure-programmatic ffmpeg pipeline with CapCut JSON automation tooling. It ships with an onboarding questionnaire and methodology templates so creators turn the skeleton into their own personalized system, with zero private data included.

## Use cases
- automate producing youtube videos with ffmpeg
- generate capcut projects programmatically
- batch render vertical shorts and reels
- enforce quality gates on video edits before publishing
- analyze competitor short-form videos with metrics like cut rate and LUFS
- build a personalized content pipeline from a questionnaire template

## When to choose
- you want a scriptable, GUI-free ffmpeg-based video pipeline
- you create YouTube long-form or Shorts/Reels content regularly and want repeatable structure
- you use CapCut on Windows and want automation around its JSON templates
- you want methodology and quality gates rather than just raw tooling

## When to avoid
- you need a polished GUI video editor
- you expect ready-made private analytics or someone else's proven settings out of the box
- you need CapCut automation on macOS or Linux, where support is weaker and version-sensitive
- you want a turnkey fully-automatic video generator with no setup

## Facets
- artifact type: framework
- maturity: active
- function: video-processing, workflow-automation, templating, cli, developer-tools
- domain: media, developer-tools
- platform: python, cli, cross-platform, windows
- tags: ffmpeg, capcut, youtube, shorts, content-creation, video-editing, creator-tools, methodology, video, automation, macos, linux

## Member repositories
- Hao0321/video-autopilot-kit (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:55.496622+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:09:11.063583+00:00, confidence not recorded.
  - readme: https://github.com/Hao0321/video-autopilot-kit (fetched 2026-08-28T04:05:55.496622+00:00, sha f39b5b769c4a)
- Data as of 2026-08-30T08:39:29.467469+00:00.