Style Skill Driven Video Editing Agent

Style Skill Driven Video Editing Agent

What it does

Accepts natural-language editing intent, applies reusable Style Skills (pacing, transitions, B-roll patterns), plans edits with LLM reasoning, and hands off to human review before execution.

When to use

• User describes edits in plain language ("make it punchier", "add B-roll over narration")
• Need to reuse editing styles across projects
• Human-in-the-loop review before final cut

Inputs

• Source footage metadata (clips, durations, transcripts optional)
• Editing intent (natural language)
• Style Skill definition (optional; use default if absent)

Outputs

• Edit plan (ordered EDL-style decisions)
• Style Skill application notes
• Human review checkpoint list

Style Skill template

```yaml
name: fast-montage
pacing: 1.5-3s per cut
transitions: hard cut, occasional whip
b_roll: overlay on keywords
audio: duck music under dialogue
```

Steps

1. Parse editing intent and load Style Skill.
2. Inventory source clips and transcript segments (if available).
3. Generate edit plan: in/out points, transitions, B-roll inserts.
4. Flag ambiguous decisions for human review.
5. Output EDL-style plan; do NOT execute without approval.

Quality checklist

• Every cut has in/out rationale
  
• Style Skill rules applied consistently
  
• Ambiguous segments flagged for review
  
• Total runtime within target range
  

Reference repos

• FireRed-OpenStoryline, StoryToolkitAI