style-profile

Analyze videos to generate style profiles with pacing, color, and editorial direction.

25|10|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/theSamPadilla/montaj --skill style-profile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: style-profile
Source: https://github.com/theSamPadilla/montaj/tree/main/skills/style-profile
Command: npx skills add https://github.com/theSamPadilla/montaj --skill style-profile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill captures a creator's visual and editorial identity from a sample of videos so agents and editors can make consistent, on-brand editing decisions without manual analysis.

Core Features & Use Cases

  • Automated Analysis: Extracts pacing, cut frequency, speech rate, color palette, and representative frames from a set of videos.
  • Profile Generation & Management: Produces a canonical style_profile.md and structured analysis JSON that are injected into agent contexts and stored per-creator.
  • Inspiration Comparison: Supports parallel analysis of inspiration sources to generate gap analyses and recommended editorial direction.
  • Use Case: A social media creator wants consistent edits across projects; run an account analysis to produce a profile that automates pacing, color, and overlay choices for future edits.

Quick Start

Use the style-profile skill to analyze an account's recent videos and generate a style_profile.md that Montaj will apply to future projects.

Frequently Asked Questions about style-profile

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

FAQPage Schema
How do I capture a creator's video editing style for consistent future edits?

To capture a creator's video editing style, you can analyze recent videos to extract pacing, cut frequency, speech rate, and color palette. This generates a canonical style_profile.md and structured analysis JSON for consistent, automated editing decisions.

What is automated video style analysis and how does it work?

Automated video style analysis extracts editorial direction, pacing, and color palette from sample videos to produce structured analysis files and representative frames. These artifacts are injected into agent contexts, enabling on-brand editing decisions without manual review.

Can I apply a style profile to social media accounts and editing workflows?

Yes, you can apply generated style profiles to social media creators' accounts and editing workflows. The profile automates pacing, color, and overlay choices, ensuring consistent edits across future projects driven by editing agents.

How do I compare a creator's video style against inspiration sources?

To compare a creator's video style against inspiration sources, you can run parallel analyses on both sets of videos. This generates a gap analysis and recommended editorial direction to refine the creator's visual and editorial identity.

Does video style profiling support fetching from URLs and local video directories?

Yes, video style profiling supports fetching content from URLs and local video directories. This allows you to gather video samples from various sources for parallel analysis runs to synthesize comprehensive profile artifacts.