/ai-cinematic-short-film
Plan AI short films with story, shots, prompts, and continuity.
$ npx -y skills add 0xsline/OpenChatCut --skill ai-cinematic-short-film --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/ai-cinematic-short-film
Context preview
The summary Claude sees to decide when to auto-load this skill.
Plan AI short films with story, shots, prompts, and continuity.
SKILL.md
ai-cinematic-short-film.SKILL.mdname: ai-cinematic-short-film
description: Plan AI short films with story, shots, prompts, and continuity.
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](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.
Read more
name: ai-cinematic-short-film description: Plan AI short films with story, shots, prompts, and continuity.
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](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.
Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
Repo: 0xsline/OpenChatCut
Other skills on openchatcut.
- /openchatcut
Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio,
Open skill - /asset-import
Use when acquiring or importing media into a OpenChatCut project asset library for video editing or creation, including local/attached videos, user-provided paths, public media URLs, web video/audio/image assets, upload fallback decisions, and deciding between import_media,
Open skill - /create-motion-graphics
Use whenever the agent needs to add, create, hand-author, patch, or place Motion Graphic JSX assets in a OpenChatCut project. This is the direct-authoring path: use create_motion_graphic_from_code / edit_asset / edit_item, not motion-graphic-gen or submit_motion_graphic. Covers
Open skill - /explainer-video
Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Use when the user wants narration, motion graphics, stock footage, generated visuals, or mixed visuals to explain an idea.
Open skill - /export
Use when a OpenChatCut video editing or creation workflow needs export, render, download, share, final delivery, subtitle-file export, render choice, local-only asset handling, or export fallback explanation.
Open skill - /image-gen
AI image generation via gpt-image-2, nano-banana, and MiniMax image-01. Use when the user wants to generate or create an image / picture / still.
Open skill

