video-thumbnail-generator
Create platform-ready thumbnails from real video frames. Use when the user wants a thumbnail, cover image, YouTube cover, Shorts cover, Bilibili cover, Xiaohongshu cover, or other video poster image.
git clone --depth 1 https://github.com/0xsline/OpenChatCut /tmp/video-thumbnail-generator && cp -r /tmp/video-thumbnail-generator/src/agent/skills/video-thumbnail-generator ~/.claude/skills/video-thumbnail-generatorSKILL.md
# Video Thumbnail Generator Use this skill to create a high-clarity thumbnail or cover image from the actual video content. ## Non-Negotiables 1. Use the real video as visual evidence. - If the thumbnail shows a person, product, UI, frame, or scene from the video, extract or inspect real frames. - Never invent a generic software interface, fake product screen, or unrelated person. 2. Read style references before recommending styles. - Use `references/thumbnail-styles.md` and `references/thumbnail-style-recipes.md`. - Only offer style directions supported by those references or by the user's explicit instruction. 3. Keep text short and readable. - Usually 2-5 words. - Avoid thin type, low contrast, small labels, and clutter. ## Workflow 1. Confirm platform and aspect ratio if missing. - YouTube / Bilibili: usually 16:9. - Shorts / TikTok / Douyin: usually 9:16. - Xiaohongshu / WeChat Channels: usually 3:4. - Correct ambiguous ratio language gently, especially 4:3 vs 3:4. 2. Read project state, transcript, and available media context. 3. Inspect candidate frames: - expressive face - product or UI clearly visible - dramatic action moment - clean composition - strong lighting or clear subject separation 4. Classify the thumbnail job: - talking-head / opinion / tutorial - product / software / demo - cinematic / documentary / art - entertainment / challenge / reaction - education / business / concept 5. Propose concise title text options. 6. Offer 3-6 clearly different style directions. - Each option should name the composition, not only a channel/style label. - Exclude weak options. - Wait for user choice when the direction is not obvious. 7. Generate thumbnail options using selected real frames and the selected style. 8. Check mobile readability, subject fidelity, product/UI truthfulness, and visual contrast. 9. Present results and offer targeted adjustments. ## Prompt Shape ```text [Platform] thumbnail, [aspect ratio / dimensions], [style name]. COMPOSITION: [subject position, scale, background, graphic balance] REAL REFERENCE: [describe selected frame zone by zone] TEXT: "[short title]" in [high-contrast style] STYLE: [one-line style recipe from references] CONSTRAINTS: readable at mobile size, no fake UI, no watermark, no play button. ``` ## References - `references/thumbnail-styles.md`: style library from real thumbnail analysis. - `references/thumbnail-style-recipes.md`: quick style recipes and prompt patterns. - `references/field-testing-notes.md`: known failure modes.
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.
Plan AI short films with story, shots, prompts, and continuity.
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.
|
Use when a OpenChatCut tool call fails or returns an unexpected shape.