Home / 0xsline / openchatcut · src/agent/skills/long-video-to-shorts/SKILL.md · GitHub

long-video-to-shorts skillA

long-video-to-shorts is agent-read markdown (skill) from 0xsline/openchatcut: Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media. Use when the user asks to cut a long video into Shorts, Reels, TikToks, Xiaohongshu posts, best moments, highlights, or multiple clips..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified before it reaches your agent: the main file against the SHA-256 recorded here, the others against the git hashes of its source commit. The deterministic audit below grades the latest version, and the same checks always give the same file the same grade.

What the file says

# Long Video to Shorts

Use this workflow when one long source video carries the output. Supporting clips may exist, but the short-form story comes from selecting self-contained moments inside the long source.

This is a OpenChatCut-native workflow. Use the current project, assets, transcript, timeline, and OpenChatCut editing tools. Do not depend on external download, transcription, ffmpeg, or auto-crop pipelines unless the user explicitly asks for an external source that is not already in the project.

## Workflow

1. Read the project state before editing. Identify the primary long video, duration, language, speakers, current timeline, transcript readiness, visual descriptions, and aspect ratio.
2. Confirm that one long source carries the output. If the project is mainly multiple raw clips with no dominant long source, switch to the Multi Clips to Reels workflow.
3. Determine only missing constraints that would change the edit: platform, clip count, target duration, audience, style, captions/title text, music, and whether the user wants options or direct creation.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add 0xsline/openchatcut/long-video-to-shorts@git:20260801.23ff26c
Exact content
mdr add 0xsline/openchatcut/long-video-to-shorts@sha256:a7c75d4016f245c8

Pin to a label to follow the author's releases, or to a sha256 for exact bytes. Either way the resolved hash is written to mdr.lock, and mdr install fetches those bytes again and checks them, so it installs them exactly or fails.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3xbgrlsg7ipqk4uk.svg)](https://markdownregistry.com/a/art_3xbgrlsg7ipqk4uk)

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Versions

versioncommittedcommitsizeaudit
git:20260801.23ff26c latest2026-08-01 23ff26c 4,224 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4224 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

0xsline/openchatcut · 2,013 stars · license AGPL-3.0 · pushed 2026-09-27 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3xbgrlsg7ipqk4uk
GET https://markdownregistry.com/api/v1/resolve?ref=0xsline/openchatcut/long-video-to-shorts
GET https://markdownregistry.com/api/v1/blob/a7c75d4016f245c82679217f08e38e7fa33141fae80c8c49c5b640d12abcab1c

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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