video-cut SKILL.md skillA

video-cut from broomva/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add broomva/skills/video-cut@git:20260628.871c8a6

Pins git:20260628.871c8a6 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
broomva/skills
Path
skills/video/video-cut/SKILL.md
Versions recorded
1
Latest version
git:20260628.871c8a6, committed Jun 28, 2026
Size
8,248 bytes
Repository stars
5
License
MIT

Edit raw footage into a finished cut by conversation, fully local. Drop clips in a folder, describe the video you want, get edit/final.mp4 back. Local-first raw-footage video editor — the editorial counterpart to the generative Remotion/launch-video skills. Uses a two-layer reading system (local faster_whisper word-level transcript + on-demand timeline_view composite) so the agent cuts with word-boundary precision without ever dumping video frames — llm-as-index applied to video. Swaps cloud…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# video-cut — local-first raw-footage video editor

Drop raw clips in a folder → describe the cut → get `edit/final.mp4`. Fully local. The
**editorial** counterpart to our **generative** video skills (`launch-video`, `Remotion`,
`cloned-voice-pitch-pipeline`). Compounds on [`browser-use/video-use`](https://github.com/browser-use/video-use):
same two-layer reading architecture, but local ASR instead of cloud ElevenLabs Scribe.

## Core principle — two-layer reading (never dump frames)

The agent reads video through two cheap layers, not by watching frames:

1. **Transcript layer** — `transcribe_local.py` runs `faster_whisper` with word-level
   timestamps (local, MPS/CPU). Packed into `takes_packed.md` (~tens of KB) — the primary
   reading artifact. This is the *routing projection*.
2. **Visual layer (on-demand)** — `timeline_view.py <video> <start> <end>` renders a
   filmstrip + waveform + word-label PNG **only at decision points** (ambiguous pauses,
   retake comparisons, cut-point checks). Never a scan — the *body-grep* expansion.

This is `research/entities/pattern/llm-as-index-architecture.md` applied to the video
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add broomva/skills/video-cut@sha256:7b8b7368315b5402

The line at the top of this page pins the label git:20260628.871c8a6, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_c5ei3nfs75hgily7.svg)](https://markdownregistry.com/a/art_c5ei3nfs75hgily7)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 28, 2026.

versioncommittedcommitsizeaudit
git:20260628.871c8a6 latest2026-06-28 871c8a6 8,248 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (8248 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

broomva/skills · 5 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_c5ei3nfs75hgily7
GET https://markdownregistry.com/api/v1/resolve?ref=broomva/skills/video-cut
GET https://markdownregistry.com/api/v1/blob/7b8b7368315b5402b1228c870bdee86e81327c41fbf73dbd20ef66c111276daf

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in broomva/skills

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zenstory-ai/video-recap-skills · skills/video-cut/SKILL.md · 把长视频按 Agent 选择的原片区间剪成短片。作为两阶段创作流程中的剪辑环节,读取 clip_plan.json 与源视频, 输出 edited_source.mp4;随后 Agent 按输出时间线写…
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