Ai Cinematic Short Film logo

Ai Cinematic Short Film

CommunityPopular
0xsline
ai-cinematic-short-film

Plan AI short films with story, shots, prompts, and continuity.

Overview

Publisher0xsline
RepositoryOpenChatCut
Skill nameai-cinematic-short-film
Stars
1.9K
Forks
277
Bundled files
1
LicenseAGPL-3.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by 0xsline on GitHub. Read the source before you install it.

Installation

Install the Ai Cinematic Short Film AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/0xsline/OpenChatCut.git /tmp/OpenChatCut
mkdir -p .claude/skills
cp -r /tmp/OpenChatCut/src/agent/skills/ai-cinematic-short-film .claude/skills/ai-cinematic-short-film
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Cinematic Short Film in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Cinematic Short Film on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Cinematic Short Film is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AI Cinematic Short Film

Use this workflow when the user wants OpenChatCut to create a cinematic AI-generated short film or story-led visual sequence.

This is a OpenChatCut-native workflow. If a source workflow depends on external image/video generation or manual assembly, replace that step with OpenChatCut's equivalent capability when available. Do not add unrelated OpenChatCut features just because they exist.

When to Use

  • The user starts from an idea, product, script, reference image, mood, or story premise.
  • The work needs shot planning, prompt craft, visual continuity, and cinematic pacing.
  • The user wants AI-generated clips assembled into a finished short.

Workflow

  1. Define the creative brief: premise, emotion, audience, platform, aspect ratio, duration, and ending.
  2. Create a compact story structure: hook image, setup, escalation, reveal or payoff, final beat.
  3. Build a style bible using references/cinematic-ai-workflow.md: world, character, color, lens/camera language, motion, lighting, and continuity rules.
  4. Draft a shot list. Each shot should have a purpose, duration, visual action, camera move, prompt notes, and continuity note.
  5. Use existing or generated reference frames only when continuity would otherwise break, especially for characters, products, locations, or costumes.
  6. Write prompts per shot with subject, action, environment, camera, lighting, mood, and negative constraints. Keep prompts specific but not brittle.
  7. Generate clips, review continuity, and regenerate only shots that break story clarity or visual consistency.
  8. Assemble the selected shots in the timeline. Add audio or text only when the brief or source workflow explicitly calls for it.
  9. Final QA: story clarity, shot order, continuity, visual artifacts, and export readiness.

Rules

  • Story clarity beats visual novelty. Do not overproduce beautiful shots that do not serve the film.
  • Keep a shared style bible so shots feel like one film.
  • Do not silently change characters, products, claims, or key user references.
  • Ask for confirmation when the premise, ending, product representation, or visual identity is ambiguous enough to change the result.
  • Replace external generation or assembly steps with equivalent OpenChatCut capabilities when they exist. Do not introduce unrelated OpenChatCut features just because they are available.

Output

When planning, show a concise brief and shot list. When executing, report generated clips, timeline structure, and any shots that need user review.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ai Cinematic Short Film AI skill do?

Plan AI short films with story, shots, prompts, and continuity.

Why use Ai Cinematic Short Film on TypingMind?

Because you install it once and use it with any model. Ai Cinematic Short Film is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Cinematic Short Film in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/ai-cinematic-short-film. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ai Cinematic Short Film?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Cinematic Short Film?

As many as you like. As long as a model supports skills, you can use Ai Cinematic Short Film with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Cinematic Short Film AI skill free?

Yes. It is published on GitHub by 0xsline under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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