- name
- creatok-recreate-video
- version
- 1.0.0
- description
- Use when recreating, rewriting, or remixing a TikTok reference video into a new product-fit version.
- license
- Internal
- compatibility
- Claude Code ≥1.0, OpenClaw skills, ClawHub-compatible installers. Requires network access to CreatOK Open Skills API. No local video analysis setup required.
- metadata
- openclaw
- requires
- env
- []
- bins
- primaryEnv
- CREATOK_API_KEY
- author
- creatok
- version
- 1.0.0
- geo-relevance
- low
- tags
- triggers
recreate-video
Constraints
- Platform: TikTok only.
- Must NOT do 1:1 copying.
- Must apply:
- structure rewrite - expression rewrite - style differentiation
- The model's final user-facing response should match the user's input language, default English.
- Avoid technical wording in the user-facing reply unless the user explicitly needs details for debugging or to share with a developer.
- Follow shared guidance in
./references/common-rules.md.
Workflow
1) Analyze reference video
- Reuse the
analyze-videoworkflow. - Gather enough reference context for the model to understand what makes the source video work.
2) Write source artifacts for the model
outputs/recreate_source.json- Include:
- reference TikTok URL - analyze result payload - analyze artifacts directory - optional user constraints such as angle / brand / style
3) Model output happens in the conversation
- The model should read
outputs/recreate_source.json - The model should help the user choose a direction without over-constraining the process.
- Unless the user explicitly asks for a live-action shoot version, the model should default to creating a script, storyboard, and visual direction that are intended for AI video generation rather than human filming.
- Typical directions include:
- stay closer to the original concept and execution - create a differentiated remix version - use the reference only as inspiration for a new version
- The model should present these directions in simple creator / seller language rather than technical or production language.
- The model should decide, with minimal friction:
- what stays at the idea level - what changes in structure / wording / visuals - copyright / similarity risks - the level of detail that is most helpful next: concept, outline, short script, storyboard, or shotlist
- The model should ask only for high-impact creative preferences when needed, not force a fixed template.
- The model should usually show a useful first draft quickly instead of starting with many questions.
- The first draft should default to an AI-generation-ready version.
- The model should prefer a first draft wording that naturally sets up the next handoff, such as "If this direction looks good, I can generate the video next."
- If the user wants to recreate or adapt a selling video, the model should first collect the user's own product context before writing a fitted script.
- Start with only the most important product details:
- product name - core selling points - product images or reference materials if available - price / offer / promotion details if relevant
- If more context is needed, the model should ask short follow-up questions one by one instead of requiring a long upfront brief.
- The model should avoid making the user restate information that was already clear from the previous analysis or conversation.
4) If the user wants final generation
- Once the creative direction is clear enough, the model should hand off to
creatok-generate-videousing the script or brief already developed in the conversation. - The model should avoid asking the user to rewrite their request from scratch before generation.
- The default handoff should be to AI generation, not a human shoot plan.
- The model should phrase this in natural creator language that invites
creatok-generate-video, for example:
- "If you want, I can generate this version now." - "If this script looks right, I can turn it into a video next." - "I can go ahead and make the video from this version."
- Before handing off, the model should already reason about generation feasibility:
- whether the plan fits within a single segment - whether it needs to be split into multiple segments - whether a recurring human character means the user needs to upload a portrait / person reference - whether the selected generation path requires a model that supports real-person reference images
- If the recreate plan is longer than a model's maximum duration, the model should explain the tradeoff and suggest a segmented plan before calling
creatok-generate-video.
Artifacts
Write under recreate-video/.artifacts/<run_id>/....
Notes
- This skill should feel like a creative bridge between analysis and generation.
- Prefer smooth continuation from the analyzed reference rather than making the user restate the whole idea.
- For selling-video recreation, adapt the reference to the user's own product instead of drafting a generic copy first.
- After producing an AI-generation-ready version, the model may optionally ask whether the user also wants a live-action shoot version.
- Keep the interaction lightweight and practical for non-technical creator / seller users.