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Master Muse Video Prompt Skill: AI Agent Workflow Guide

Master Muse Video Prompt Skill: AI Agent Workflow Guide

Regular price £54.99
Regular price £54.99 Sale price
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Works withClaude CodeCursorCodexGemini CLI
Master Muse Video Prompt Skill: AI Agent Workflow Guide

Master Muse Video Prompt Skill: AI Agent Workflow Guide

Regular price £54.99
Regular price £54.99 Sale price
SAVE Sold out

Master Muse Video Prompt Skill: AI Agent Workflow Guide

The Master Muse Video Prompt Skill is a comprehensive guide designed to assist AI agents in executing video generation workflows using Muse's integrated functionalities. This skill enables the development of structured video prompts leading to coherent video outputs from initial prompt writing to final frame verification.

What this skill does

  • Prompt Writing: Utilizes a structured six-part template from references/prompt-template.md for creating video prompts.
  • Video Generation: Spearheads the generation process through media.generate_video, maintaining fidelity to user-approved prompts without modification.
  • Segment Stitching: Ensures videos longer than 10 seconds are segmented and stitched using ffmpeg, assuring continuity via resume_from_snapshot_id.
  • Frame Verification: Conducts internal frame checks with bin/extract_frames.py and formal reviews using ai-director-video-review, to affirm technical integrity and seamlessness.
  • Documentation: Documents each experiment with detailed case cards stored in references/cases/, highlighting key elements and outcomes.

Who it is for

This skill is suited for developers and teams utilizing AI coding agents like Claude Code, Cursor, and Codex for video generation projects. It serves those requiring organized workflows and consistent video production techniques.

Use cases

  • Developers crafting video content needing clear, structured prompt guidelines.
  • Teams aiming to produce segmentally coherent long-form videos using AI-driven tools.
  • AI practitioners requiring a detailed workflow for integrated video generation in Muse environments.

Technical details

  • Tools: Integrates ffmpeg for video stitching and bin/extract_frames.py for frame verification.
  • Supporting Skills: Complements cinematic-shot-design for initial shot planning, and ai-director-video-review for principal video review.
  • File Handling: Ensures ASCII compliance for uploaded reference images to avoid upstream issues.

This functionality helps improve the consistency and reliability of video prompts and outputs within the Muse framework, benefiting users adhering to simple operational guidelines.


Source & Licence

This package is built on open-source work published by masonmosen (masonmosen/muse-video-prompt-skill) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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