Turn the structural rhythm of an inspiration video into an original, copyright-conscious commercial intro using Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install farsight-intro-sequence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install farsight-intro-sequence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Farsight Commercial Intro Sequence Generation?
Farsight Commercial Intro Sequence Generation helps plan and produce original video-intro assets by studying an inspiration video's mechanics—such as camera movement, framing, lighting, pacing, and transitions—without reusing its characters, names, text, or other identifying elements. The workflow combines that structural analysis with user-provided project context, creative direction, and character descriptions.
This Openclaw Skills workflow keeps the user involved at key decision points: it confirms project details and image and video engines before generation, presents a second-by-second prompt report for approval, and asks before animating generated images. Its safeguards emphasize original assets and preventing unauthorized or hallucinated text.
Farsight Commercial Intro Sequence Generation Use Cases
- Develop a commercial video intro inspired by the pacing or cinematography of a reference video without copying its identity or creative elements.
- Convert target information and remote viewer transcripts into a coherent visual sequence.
- Create original image plates based on a user-approved, second-by-second prompt report.
- Animate approved image batches into video clips with a user-selected video generation engine.
- Organize reference materials, extracted frames, generated images, and video outputs in a consistent project directory.
How Farsight Commercial Intro Sequence Generation Works
- Gather the target directory, context document locations, YouTube inspiration link, art style, plot, character descriptions, and the user's chosen image and video generation engines.
- Create the required project folders, then download the inspiration video into
inspiration/usingyoutube-dloryt-dlp. - Extract sample frames with
ffmpegand analyze only structural cinematographic mechanics, stripping source identities from the resulting structural map. - Combine the structural map with the supplied context and creative direction to draft a logical, second-by-second prompt report.
- Present the report for user approval. After approval, generate images with the explicitly selected image engine and save approved plates in
Generated_Frames/, avoiding borders and unauthorized text. - Ask whether the user wants to animate the image batch. If approved, confirm settings, generate clips with the selected video engine, save them in its designated folder, and present the assets.
Farsight Commercial Intro Sequence Generation Setup
Before starting, provide the project directory, Target Information document and Remote Viewer transcript locations, YouTube inspiration link, creative direction, and preferred image and video generation engines. Engine confirmation is required for each run; the workflow does not prescribe a universal engine.
Create this directory structure under the target directory:
[Target_Directory]/AI Music Video/
├── inspiration/
│ └── frames/
├── Generated_Frames/
└── [Chosen_Video_Engine_Name]/
The workflow uses youtube-dl or yt-dlp to download the reference and ffmpeg to extract frames. Example frame extraction command:
ffmpeg -i video.mp4 -vf fps=1 inspiration/frames/frame_%04d.png
The skill describes media generation through the selected image_generate and video_generate tools or specialized commands. Confirm those tools are available in the current environment; the source instructions do not specify package installation commands.
Farsight Commercial Intro Sequence Generation Data Schema & Taxonomy
Project files are organized under [Target_Directory]/AI Music Video/:
| Path | Purpose |
|---|---|
inspiration/ |
Downloaded inspiration video and related reference material. |
inspiration/frames/ |
Frames extracted from the reference for structural analysis; the example extracts one frame per second. |
Generated_Frames/ |
Approved, original generated image plates. |
[Chosen_Video_Engine_Name]/ |
Generated video clips, stored in a folder named for the selected engine, such as veo3/ or wavespeed/. |
The workflow also uses the Target Information document and Remote Viewer transcripts as context inputs. Its analysis output is a sterile structural map focused on cinematography and transitions, not source identities. A second-by-second prompt report is prepared for user approval before image generation. No specific filename or serialized metadata format is prescribed.
Farsight Commercial Intro Sequence Generation Advanced Features
- Copyright-conscious reference analysis separates cinematographic structure from source-specific characters, names, text, and identifying details.
- Explicit user confirmation of both image and video generation engines before media generation.
- Context synthesis combines the structural map, target information, transcripts, and user-defined style, plot, and character appearance.
- Approval gate for the detailed second-by-second prompt report before image generation.
- Text-safety direction instructs image generation to avoid unauthorized or hallucinated text and white borders.
- Optional image-to-video stage with settings confirmation and engine-specific output folders.
- Staged file organization keeps reference video, extracted frames, generated image plates, and video clips distinct.
SKILL.md
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