Agent skill

Batch Montage Variants

by 0xsline in 0xsline/OpenChatCut

Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit.

AGPL-3.0Auto-check passedMedia & Creative

Install Batch Montage Variants

skills CLI
$ npx skills add 0xsline/OpenChatCut --skill batch-montage-variants -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install 0xsline/OpenChatCut batch-montage-variants --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/agent/skills/batch-montage-variants .claude/skills/batch-montage-variants && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
batch-montage-variants
GitHub stars
2.2k
Token cost
~1.3k tokens
SKILL.md length
700 words
Files
3 (incl. references)
Skills in repo
31
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit.

  • Works in 12 steps: Read the project state before editing.… → Confirm the user wants more than one… → Fix the batch contract before cutting —… → …
  • One-source-many-outputs
  • SKILL.md covers When to switch workflows, Workflow, Plan Format and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Batch Montage Variants is an agent skill from 0xsline/OpenChatCut. Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit. Use for batch montage, one-source-many-outputs, 一源多出, 批量混剪, 批量出片, 矩阵号, 多账号分发, variant batches, deduped cuts, 去重变体, 防搬运, or when the user asks for N different versions of the same footage.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/dedup-rules.md` and `references/variation-matrix.md`).

It sits in Media & Creative, covering Video production. The repository describes itself as: Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering. The licence is AGPL-3.0.

When your agent uses it

  • One-source-many-outputs
  • Variant batches
  • The user asks for N different versions of the same footage

Example prompts

  • “/batch-montage-variants”

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Read the project state before editing. Inventory the source pool: clip count, usable duration, aspect ratio, visual subjects…
  2. Confirm the user wants more than one output and the pool supports the selected mode. Do not pad a distinct-cut batch with near-duplicates…
  3. Fix the batch contract before cutting — mode (distinct cuts, controlled hook test, or platform adaptations), count, target duration…
  4. Score every source asset for reuse headroom before planning. See references/variation-matrix.md. Reserve distinct hooks where the mode…
  5. Build the variation matrix before editing. For distinct cuts, plan different hooks and structural changes. For controlled hook tests…
  6. Plan the dedup budget with references/dedup-rules.md. Decide up front which dimensions carry the differentiation, and record the minimum…
  7. Get the matrix approved before cutting the whole batch. Show the plan as a table: cut number, hook, order signature, rhythm, duration…
  8. Cut the first variant end to end and verify it renders and exports before batching the rest. Do not generate eight timelines that share…
  9. Cut remaining variants from the approved matrix. Reuse picks and trims according to the approved mode; distinct cuts and hook tests need…
  10. Name timelines so the batch is auditable: -v-, consistent across the batch.
  11. QA each cut individually and the batch as a set. See references/dedup-rules.md for the pairwise checks.
  12. Report per-cut timeline names, durations, the differentiation dimension for each, and which pair is the most similar — that is the pair…

What it can do on your machine

Read from SKILL.md and the folder at commit 2e6f4a2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Batch Montage Variants loads about 1.3k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 700 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from 0xsline/OpenChatCut at commit 2e6f4a2, republished under its AGPL-3.0 licence (© 0xsline). 700 words, ~1,318 tokens.

Download SKILL.mdSave it as .claude/skills/batch-montage-variants/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
batch-montage-variants
description
Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit. Use for batch montage, one-source-many-outputs, 一源多出, 批量混剪, 批量出片, 矩阵号, 多账号分发, variant batches, deduped cuts, 去重变体, 防搬运, or when the user asks for N different versions of the same footage.

Batch Montage Variants

Use this workflow when the user wants many finished cuts from the same media pool — matrix accounts, A/B hook testing, platform variants, or daily batch output. Each output must satisfy the agreed mode: structural differentiation, a controlled hook test, or a platform adaptation.

This is an OpenChatCut-native workflow. Use the current project, source assets, asset-frame inspection, AV/script context, and built-in editing tools. Editing imported media requires no external service. Use external sources or processing pipelines only when explicitly requested by the user.

When to switch workflows

  • One hero edit from many clips → Multi Clips to Reels. Do not use this skill to make a single cut.
  • One long source defining a story → Long Video to Shorts.
  • N distinct outputs from a shared pool → this skill.

Tell the user when you switch, and say why.

Workflow

  1. Read the project state before editing. Inventory the source pool: clip count, usable duration, aspect ratio, visual subjects, motion/energy, audio quality, and duplicates.
  2. Confirm the user wants more than one output and the pool supports the selected mode. Do not pad a distinct-cut batch with near-duplicates; controlled tests and platform adaptations may intentionally reuse an edit.
  3. Fix the batch contract before cutting — mode (distinct cuts, controlled hook test, or platform adaptations), count, target duration, platform, audience, language, and music bed. If more than one is missing, ask in one <widget> after loading widget-forms.
  4. Score every source asset for reuse headroom before planning. See references/variation-matrix.md. Reserve distinct hooks where the mode requires them; shared end cards and intentional shared bodies are allowed.
  5. Build the variation matrix before editing. For distinct cuts, plan different hooks and structural changes. For controlled hook tests, change only the hook and keep the body fixed. For platform adaptations, retain the approved content and adapt presentation. See references/variation-matrix.md.
  6. Plan the dedup budget with references/dedup-rules.md. Decide up front which dimensions carry the differentiation, and record the minimum separation each pair of cuts must clear.
  7. Get the matrix approved before cutting the whole batch. Show the plan as a table: cut number, hook, order signature, rhythm, duration, packaging, and the dimension that makes it different from every other cut in the batch.
  8. Cut the first variant end to end and verify it renders and exports before batching the rest. Do not generate eight timelines that share one unverified mistake.
  9. Cut remaining variants from the approved matrix. Reuse picks and trims according to the approved mode; distinct cuts and hook tests need different openings, while platform adaptations may share them.
  10. Name timelines so the batch is auditable: <topic>-v<NN>-<hook-label>, consistent across the batch.
  11. QA each cut individually and the batch as a set. See references/dedup-rules.md for the pairwise checks.
  12. Report per-cut timeline names, durations, the differentiation dimension for each, and which pair is the most similar — that is the pair the user should review first.
Show full SKILL.md (216 more words)Show less

Plan Format

Present the batch as one table, not prose:

#Hook assetOrder signatureRhythmDurationPackagingDiffers by
v01clip_07 (product in hand)A-C-E-Bfast-cut, 1.2s avg28sbold captions + beat cutshook + order
v02clip_12 (before/after)C-A-B-Eslow open, ramp34sminimal captions + zoomhook + rhythm
  • Total outputs, platform, shared vs distinct music bed
  • Source pool size and reuse headroom
  • Dedup budget and minimum separation
  • Risks: thin pool, single-use assets, near-duplicate pairs

Rules

  • Distinct cuts and hook tests need different opening three seconds. Platform adaptations may share an opening and must be labeled as adaptations, not distinct edits.
  • For distinct cuts, differentiate on structure before decoration. Styling changes alone do not establish structural differentiation; these checks do not guarantee a platform's duplicate-detection outcome.
  • Do not pad a thin pool into N cuts. Report the honest maximum and ask.
  • Distinct cuts and hook tests need different hooks; platform adaptations may reuse the same approved hook.
  • Keep one variable dominant per cut. When everything differs slightly, nothing reads as different.
  • Batch output is not permission to lower the bar: each cut must stand alone as publishable.
  • Do not use captions or titles to invent claims the footage does not support, in any variant.
  • Report the most-similar pair explicitly. Hiding it defeats the point of the batch.

© 0xsline, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in src/agent/skills/batch-montage-variants of 0xsline/OpenChatCut.

  • SKILL.md
  • references/dedup-rules.md
  • references/variation-matrix.md

Open the folder on GitHubat commit 2e6f4a2

Compare with similar skills

Batch Montage Variants next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Batch Montage Variants compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Batch Montage Variants this skill0xsline/OpenChatCut2.2k—~1.3kAutomated safety check: PassAGPL-3.0
HyperFrames Animationheygen-com/hyperframes60k3 repos~2.1kAutomated safety check: PassApache-2.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.5k6 repos~3.2kAutomated safety check: NotesApache-2.0
Faceless Explainer Videoheygen-com/hyperframes60k3 repos~7.7kAutomated safety check: NotesApache-2.0
Video Understandcalesthio/OpenMontage66k—~841Automated safety check: PassAGPL-3.0
Video ShotcraftVincentwei1021/video-shotcraft11k—~2.6kAutomated safety check: PassApache-2.0

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  • Music Generation

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Questions about Batch Montage Variants

What does Batch Montage Variants do?

Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit. Batch Montage Variants is an agent skill from 0xsline/OpenChatCut. Turn one pool of existing project media into a batch of distinct, publishable montage cuts instead of a single hero edit.

When should I use Batch Montage Variants?

Batch Montage Variants fits situations like: one-source-many-outputs; variant batches; the user asks for N different versions of the same footage.

How do I install Batch Montage Variants in Claude Code?

Run `npx skills add 0xsline/OpenChatCut --skill batch-montage-variants -a claude-code`. Or copy the skill folder (src/agent/skills/batch-montage-variants in 0xsline/OpenChatCut) into .claude/skills/batch-montage-variants in your project. Claude Code loads it when a task matches its description.

How do I install Batch Montage Variants in Codex?

Run `npx skills add 0xsline/OpenChatCut --skill batch-montage-variants -a codex`. Or copy the skill folder (src/agent/skills/batch-montage-variants in 0xsline/OpenChatCut) into .agents/skills/batch-montage-variants in your project. Codex loads it when a task matches its description.

Can I use Batch Montage Variants in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 0xsline/OpenChatCut --skill batch-montage-variants -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/batch-montage-variants, .gemini/skills/batch-montage-variants, .github/skills/batch-montage-variants and .opencode/skills/batch-montage-variants in your project.

What does Batch Montage Variants need to run?

SKILL.md names no scripts, command-line tools or credentials: Batch Montage Variants is instructions for the agent only.

Does Batch Montage Variants access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Batch Montage Variants safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Batch Montage Variants use?

Batch Montage Variants is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Batch Montage Variants use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Batch Montage Variants?

Skills that share tags, products or a category with Batch Montage Variants: HyperFrames Animation (heygen-com/hyperframes, 60k stars), Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.5k stars), Faceless Explainer Video (heygen-com/hyperframes, 60k stars) and Video Understand (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Batch Montage Variants?

0xsline (a GitHub user) maintains it in 0xsline/OpenChatCut, which has 2,235 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.

Source: 0xsline/OpenChatCut on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.