Video Director
Jamailar/Beav
Canonical entrypoint for every AI chat request that asks to make, generate, plan, or edit a video, including promotional films, ads, short videos, product videos, reference-image videos…
Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media.
Install Long Video To Shorts
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 0xsline/OpenChatCut long-video-to-shorts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .claude/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.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/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .claude/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shortsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 0xsline/OpenChatCut long-video-to-shorts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .agents/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .agents/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 0xsline/OpenChatCut long-video-to-shorts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .cursor/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .cursor/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/0xsline/OpenChatCut.git --path src/agent/skills/long-video-to-shorts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 0xsline/OpenChatCut long-video-to-shorts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .gemini/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .gemini/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install 0xsline/OpenChatCut long-video-to-shortsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .github/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .github/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 0xsline/OpenChatCut long-video-to-shorts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/agent/skills/long-video-to-shorts .opencode/skills/long-video-to-shorts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "long-video-to-shorts" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/long-video-to-shorts into .opencode/skills/long-video-to-shorts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-video-to-shorts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
long-video-to-shorts- GitHub stars
- 2.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 575 words
- Files
- 2 (incl. references)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media.
- Works in 11 steps: Read the project state before editing.… → Confirm that one long source carries the… → Determine only missing constraints that… → …
- The user asks to cut a long video into Shorts
- SKILL.md covers Workflow, Plan Format and Rules
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Long Video To Shorts is an agent 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.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/short-form-selection.md`).
It sits in Media & Creative, covering Video production. It works with Xiaohongshu. 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
- The user asks to cut a long video into Shorts
- Xiaohongshu posts
Example prompts
- “/long-video-to-shorts”
Workflow steps
11 steps, taken from the first numbered list in SKILL.md.
- Read the project state before editing. Identify the primary long video, duration, language, speakers, current timeline, transcript…
- Confirm that one long source carries the output. If the project is mainly multiple raw clips with no dominant long source, switch to the…
- Determine only missing constraints that would change the edit: platform, clip count, target duration, audience, style, captions/title…
- If more than one missing constraint remains, ask for them in one after loading widget-forms`. Use text fields for open-ended fields like…
- Use transcript ranges when available. If transcription is unavailable or unreliable, inspect visual/audio content and ask only for missing…
- Scan for moments that can stand alone: clear setup, hook, claim, proof, emotional turn, lesson, conflict, demonstration, or payoff. Read…
- Build a compact candidate plan before heavy editing. For each output include source range, opening hook, why it stands alone, payoff…
- If the user gave enough constraints and asked to create directly, proceed after stating the plan. If the source is very long, the request…
- Cut on clean word, phrase, action, or beat boundaries. Tighten filler, false starts, repeated attempts, and dead time only when meaning…
- Package for the target platform: aspect ratio/crop, title text, styled captions, music, light motion graphics, zooms, speed changes, or…
- QA before reporting done: hook in first seconds, clear payoff, standalone clarity, no misleading title, clean boundaries, platform fit…
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
Long Video To Shorts loads about 1.1k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 575 words of instructions outside code blocks.
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). 575 words, ~1,056 tokens.
Download SKILL.mdSave it as
.claude/skills/long-video-to-shorts/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- long-video-to-shorts
- description
- 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.
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
- Read the project state before editing. Identify the primary long video, duration, language, speakers, current timeline, transcript readiness, visual descriptions, and aspect ratio.
- 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.
- 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.
- If more than one missing constraint remains, ask for them in one
<widget>after loadingwidget-forms. Use text fields for open-ended fields like topic, spoken language, audience, or goals; use single/multi choice fields for bounded choices like platform, count, duration, captions, or music. - Use transcript ranges when available. If transcription is unavailable or unreliable, inspect visual/audio content and ask only for missing context that changes selection.
- Scan for moments that can stand alone: clear setup, hook, claim, proof, emotional turn, lesson, conflict, demonstration, or payoff. Read references/short-form-selection.md when scoring or comparing candidates.
- Build a compact candidate plan before heavy editing. For each output include source range, opening hook, why it stands alone, payoff, target duration, platform treatment, and risks.
- If the user gave enough constraints and asked to create directly, proceed after stating the plan. If the source is very long, the request is vague, or the requested count is high, create or preview the first strongest clip before batching the rest.
- Cut on clean word, phrase, action, or beat boundaries. Tighten filler, false starts, repeated attempts, and dead time only when meaning and tone stay intact.
- Package for the target platform: aspect ratio/crop, title text, styled captions, music, light motion graphics, zooms, speed changes, or transitions only when they support the selected moment.
- QA before reporting done: hook in first seconds, clear payoff, standalone clarity, no misleading title, clean boundaries, platform fit, requested count/duration, timeline names, and export readiness.
Show full SKILL.md (168 more words)Show less
Plan Format
When presenting a plan, use this compact shape:
- Clip number/title
- Source range
- Opening hook
- Why it stands alone
- Payoff or viewer value
- Target duration/platform treatment
- Edit notes and risks
When creating clips, report timeline names, durations, packaging applied, assumptions, and what to review first.
Rules
- Preserve claims, speaker intent, context, and causality. Do not make the speaker appear to say something they did not mean.
- Prefer the smallest range that preserves setup, meaning, and payoff.
- Do not summarize the whole long source evenly.
- Do not choose a quotable line if it needs missing context to make sense.
- Do not use misleading title text to compensate for a weak moment.
- Do not pad with weak clips just to hit the requested count.
- Do not treat a full talking-head polish request as Long Video to Shorts unless the user asks for shorts, clips, highlights, or cutdowns.
- Do not batch many shorts blindly. If the style is not established, create or preview the first strong clip before repeating it.
© 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 1 other file (references) in src/agent/skills/long-video-to-shorts of 0xsline/OpenChatCut.
- SKILL.md
- references/short-form-selection.md
Open the folder on GitHubat commit 2e6f4a2
Compare with similar skills
Long Video To Shorts 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Long Video To Shorts this skill0xsline/OpenChatCut | 2.2k | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Video DirectorJamailar/Beav | 1.8k | — | ~9.6k | Automated safety check: Pass | Custom licence | |
| Jiaying Toolvivy-yi/xiaohongshu-skills | 481 | — | ~1.8k | Automated safety check: Pass | None | |
| Xiaohongshu Video Downloaderredfox-data/redfox-community | 427 | — | ~831 | Automated safety check: Pass | None | |
| Short Video Productionvivy-yi/xiaohongshu-skills | 481 | — | ~6.1k | Automated safety check: Pass | None | |
| Video Podcast MakerAgents365-ai/video-podcast-maker | 1.7k | — | ~4.9k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Long Video To Shorts
What does Long Video To Shorts do?
Cut one long podcast, interview, course, livestream, or other source video into social-ready shorts, reels, highlights, or clip timelines from existing project media. Long Video To Shorts is an agent 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.
When should I use Long Video To Shorts?
Long Video To Shorts fits situations like: the user asks to cut a long video into Shorts; xiaohongshu posts.
How do I install Long Video To Shorts in Claude Code?
Run `npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a claude-code`. Or copy the skill folder (src/agent/skills/long-video-to-shorts in 0xsline/OpenChatCut) into .claude/skills/long-video-to-shorts in your project. Claude Code loads it when a task matches its description.
How do I install Long Video To Shorts in Codex?
Run `npx skills add 0xsline/OpenChatCut --skill long-video-to-shorts -a codex`. Or copy the skill folder (src/agent/skills/long-video-to-shorts in 0xsline/OpenChatCut) into .agents/skills/long-video-to-shorts in your project. Codex loads it when a task matches its description.
Can I use Long Video To Shorts 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 long-video-to-shorts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/long-video-to-shorts, .gemini/skills/long-video-to-shorts, .github/skills/long-video-to-shorts and .opencode/skills/long-video-to-shorts in your project.
What does Long Video To Shorts need to run?
SKILL.md names no scripts, command-line tools or credentials: Long Video To Shorts is instructions for the agent only.
Does Long Video To Shorts 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 Long Video To Shorts 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 Long Video To Shorts use?
Long Video To Shorts 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 Long Video To Shorts use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Long Video To Shorts?
Skills that share tags, products or a category with Long Video To Shorts: Video Director (Jamailar/Beav, 1.8k stars), Jiaying Tool (vivy-yi/xiaohongshu-skills, 481 stars), Xiaohongshu Video Downloader (redfox-data/redfox-community, 427 stars) and Short Video Production (vivy-yi/xiaohongshu-skills, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Long Video To Shorts?
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.