veo-cinematic-reels

Generate scene-by-scene reel scripts and copy-paste video-generation prompts for Veo, Kling, and Runway.

1|Updated Aug 7, 2026
One-click install
npx skills add https://github.com/Deepak-ai-93/deepak-skill --skill veo-cinematic-reels-deepak-ai-93
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: veo-cinematic-reels
Source: https://github.com/Deepak-ai-93/deepak-skill/tree/main/skills/veo-cinematic-reels
Command: npx skills add https://github.com/Deepak-ai-93/deepak-skill --skill veo-cinematic-reels-deepak-ai-93

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve? AI video generators produce each clip independently, so characters drift in face, hair, and wardrobe between scenes, and prompts written ad hoc lack cinematic specificity. This Skill turns a reel idea into a scene-by-scene script plus a prompt pack where every prompt carries a verbatim character block, locked color grade, IMAX camera language, negative prompt, and seed to hold consistency across scenes. ## Core Features & Use Cases - Consistency-locked prompt packs: Builds one rich 150-250 word prompt per scene via scene-prompts.mjs, self-verifying that the character block, grade token, IMAX token, and world token appear word-for-word in every scene. - Tool-agnostic workflow: The same prompts paste into Google Flow / Veo 3.1, Kling, Luma, Runway, Hailuo, Vidu, Pika, and PixVerse, with per-tool instructions for reference-image upload, negative-prompt fields, and seeds. - Two-stage audit harness: audit-reels.mjs runs automated checks (token consistency, prompt length, bridge flags, cinematic language), then a fresh reel-auditor subagent scores reel-worthiness out of 50 before delivery. - Use Case: A creator wants a 24-second cinematic action reel with the same character in four scenes. The Skill produces a character sheet with reference-image prompts, a scene script following the hook-agitate-payoff-loop arc, and a copy-paste prompt pack with a locked seed and negative prompts. ## Quick Start Ask the agent to create a cinematic reel script with scene-by-scene Veo prompts for your topic, keeping one character consistent across all scenes.

Frequently Asked Questions about veo-cinematic-reels

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep the same character consistent across Veo scenes?

Upload 2-3 reference images (front portrait, three-quarter, full body) to Flow's Ingredients panel and reuse them for every scene. Each prompt also embeds an identical verbatim character block describing face, hair, wardrobe, and a distinctive detail, which the builder verifies word-by-word.

How do I write video generation prompts for Kling or Runway?

Use the 7-part formula: cinematography, lens, tempo, subject, action, context/lighting, and style, totaling roughly 150-250 words per scene. The same prompt works across Kling, Runway, Luma, Hailuo, Vidu, Pika, and PixVerse; only the reference-image upload mechanism differs per tool.

Does this work with video generators other than Google Veo?

Yes, the prompts are tool-agnostic and paste into Kling, Luma, Runway, Hailuo, Vidu, Pika, and PixVerse. The pack header explains where each tool accepts reference images, and the labeled negative prompt line goes into dedicated negative fields where they exist.

Why do AI video characters change face between scenes?

Each clip is generated independently, so any wording drift in the prompt changes the face. The fix is a verbatim character block in every prompt, the same reference images, a locked seed where supported, and regenerating a drifting scene rather than editing the character block.

What is a negative prompt in AI video generation?

A negative prompt lists artifacts to exclude, such as warping, extra limbs, distorted faces, watermarks, and camera shake. Tools like Kling, Luma, Hailuo, Vidu, Pika, and Runway have dedicated negative fields; prompt-only tools like Flow read the line as harmless plain text.