What is video-production?

A production process for combining multiple AI-generated video clips into one consistent project.

It is for planning shots, creating style-anchor images, chaining clips, checking frames, and assembling a finished montage.

It reduces visible differences between clips by establishing a shared visual reference and checking each shot before assembly.

video-production — Skill for Claude Code by Galbaz1

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Galbaz1/video-research-mcp --skill video-production

Clone the repo

git clone --depth 1 https://github.com/Galbaz1/video-research-mcp

Made for: Claude Code.

Or install gr, the plugin that ships this one along with the rest of its 12 skills, 17 commands, 7 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/video-production/github.svg)](https://agentmods.dev/skills/galbaz1/video-research-mcp/video-production)

Your own site

<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/video-production"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/video-production/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/galbaz1/video-research-mcp/video-production"><img src="https://agentmods.dev/badge/skills/galbaz1/video-research-mcp/video-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,054 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00041	$0.02054
Opus 5	$0.00020	$0.01027
Sonnet 5	$0.00008	$0.00411
Haiku 4.5	$0.00004	$0.00205

Measured 12d ago against content hash f71b23a2a227, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

video-production scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/video-production/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Video Production Pipeline

Orchestrates the full lifecycle of cinematic AI video: anchor image through multi-shot assembly. The core principle is anchor-first chaining — one perfect hero still locks visual identity (lighting, palette, texture) across every clip. Without this, each generation invents its own world.

Production Phases

Every production follows five phases regardless of provider or chain pattern.

1. Concept

Define the visual brief before touching any tool.

Shot list: one line per clip — subject, motion, duration, mood
Visual world(s): industrial, office, outdoor, etc. — each world gets its own anchor
Asset audit: search project directories for existing footage before generating anything. Real footage at 1080p always trumps AI generation

2. Style Anchor

Generate one hero image per visual world with mcp-image. This image is the single source of truth for all subsequent clips.

mcp-image parameters:
  quality: "quality"
  imageSize: "4K"
  purpose: "cinematic video style anchor"
  maintainCharacterConsistency: true  (for multi-image sets)

Iterate with inputImagePath until lighting, composition, and subject are exactly right. The anchor is immutable once approved — everything flows from it.

Anchor requirements:

Contains everything clips need to inherit: subject appearance, lighting direction, color temperature, atmospheric density
Exact same lighting description must appear in both image and video prompts
Store approved anchors in assets/style-anchors/ with descriptor strings in descriptors.md
Copy-paste descriptors between shots — never paraphrase

Anchor sandwich (for sequential scenes):

ANCHOR-START --> [motion] --> HERO --> [motion] --> ANCHOR-END
     |                                                  |
     = ANCHOR-END of previous scene         = ANCHOR-START of next scene

This ensures visual continuity: each scene's endpoint feeds the next scene's entry point.

3. Generate

Read the full file on GitHub · 218 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/workflow-patterns.md 14 KB

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 218 lines · 41 tokens per session scan A f71b23a2a227

Subscribe to this mod's changes

video-production is a skill published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 2,054 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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video-perception

Use when the user mentions a video file (.mp4, .mov, .avi, .mkv, .webm), a YouTube URL, asks to watch/analyze/review a video, or references video content in conversation.

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video-production