Style Skill Driven Video Editing Agent

Natural-language video editing with reusable Style Skills and human-in-the-loop review. Use when planning edits from intent, applying editing styles, or orchestrating LLM-driven cut decisions with tool handoff.

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

Parse editing intent and load Style Skill.
Inventory source clips and transcript segments (if available).
Generate edit plan: in/out points, transitions, B-roll inserts.
Flag ambiguous decisions for human review.
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

Style Skill Driven Video Editing Agent