ai-cinematic-short-film
Plan AI short films with story, shots, prompts, and continuity.
git clone --depth 1 https://github.com/0xsline/OpenChatCut /tmp/ai-cinematic-short-film && cp -r /tmp/ai-cinematic-short-film/src/agent/skills/ai-cinematic-short-film ~/.claude/skills/ai-cinematic-short-filmSKILL.md
# 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.
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, color, or export tools; or recover from an OpenChatCut MCP error.
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, download_media, or manual user action.
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 project/timeline intake, project visual language, editable properties, asset binding, inline JSX authoring, existing asset updates, timeline placement, and verification.
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.
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.
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Use when a OpenChatCut tool call fails or returns an unexpected shape.
Cut an imported livestream recording of any genre into evidence-backed, platform-ready clips by combining transcript, visual, audio, interaction, and domain-specific signals. Use for commerce, gaming, talk, interview, education, entertainment, sports, music, IRL, creative, news, or mixed livestream recordings.