I will not shut up about my free Claude Skills for realistic video prompting
Offers AI creators an actionable blueprint for integrating specialized Claude skills into an end-to-end cinematic pre-production and generation pipeline.
What this lesson covers
Joey demonstrates how to structure an AI filmmaking pipeline from scriptwriting to final post-production using custom Claude skills. He walks through building a story bible, generating detailed prompts, and managing assets for a parody horror short film.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 01:36 ↗
Combining story structure with custom Claude prompting skills helps bridge the gap between low-quality AI video and cohesive cinematic narratives.
- 04:40 ↗
Adapting a traditional film production workflow—script, beat sheet, asset tagging, prompt engineering, generation, and editing—saves time and credit costs.
- 07:37 ↗
Using a Story Bible Builder skill in Claude helps flesh out character backstories, world rules, and narrative details into a reusable reference file.
- 08:48 ↗
Story bible skill files generated in Claude serve as functional code references that can be re-uploaded into new chat sessions to maintain context.
Workflow outlined in the video
- Draft initial story concepts and character ideas manually using a script format or text document before introducing AI generation.
- Execute the Story Bible Builder skill in Claude to systematically answer structured questions about world rules, character traits, and visual styles.
- Export the generated story bible file (skill.md) and re-upload it to new Claude sessions to maintain narrative context across production stages.
- Deconstruct the script into an actionable beat sheet and tag all visual assets, including locations, props, and character appearances.
- Generate video prompts through Claude tailored to specific video generation models like Seedance 2.5 prior to rendering shots.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
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How to interpret the numbers
44,163 views captured 5 November 2026. ReelStack recommendation score: 62/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 1.19× current views vs the channel's recent median; same-age history is not yet available. View-evidence factor 98% (views / (views + 1,000))
- 25% freshness: 81/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 75/100; likes + 4× comments, smoothed with a 500-view neutral prior