keyframe-extractor

Extracts key frames from videos for style reference, regeneration, or analysis. Identifies visually significant moments and saves frames for further use.

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Repositório: buda-ai/bunny-agent
Última atividade na origem: 11 de fevereiro de 2026 às 03:32
Idioma detectado do SKILL.md: inglês
Estrelas: 26
Forks: 5

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name	keyframe-extractor
description	Extracts key frames from videos for style reference, regeneration, or analysis. Identifies visually significant moments and saves frames for further use.

Keyframe Extractor

This skill extracts important frames from videos, identifying visually significant moments, scene changes, and stylistic reference points. Use for style matching, video regeneration, or visual analysis.

When to Use This Skill

Extracting style reference frames from videos
Analyzing shot composition and visual style
Preparing frames for image-to-video generation
Creating visual mood boards from video
Documenting video aesthetic for replication
Extracting frames for prompt generation
Getting screenshots for storyboards

What This Skill Does

Scene Detection: Identifies major scene changes and transitions
Keyframe Identification: Selects visually representative frames
Frame Extraction: Saves high-quality still images from video
Frame Analysis: Provides description of visual elements in each frame
Style Documentation: Catalogs visual patterns across frames
Metadata Capture: Records timestamp and context for each frame

How to Use

Extract from Video URL

Extract keyframes from this video: [URL]

Get reference frames from: [URL]

Specific Extraction

Extract [N] evenly-spaced frames from: [URL]

Get frames at: 0:05, 0:30, 1:15, 2:00 from [URL]

For Style Reference

Extract keyframes from [URL] for style matching

Instructions

When user requests keyframe extraction:

Understand Requirements

I'll extract keyframes from your video.

**Video Source**: [URL or file path]

**Extraction Method**:
[ ] Automatic scene detection (AI identifies key moments)
[ ] Evenly spaced (e.g., every 10 seconds)
[ ] Specific timestamps (provide times)
[ ] Smart sampling (balanced across video)

**Number of Frames**: [How many frames to extract]

**Purpose**:
[ ] Style reference for new video
[ ] Visual analysis
[ ] Prompt generation for image recreation
[ ] Storyboard creation
[ ] Other: ___________

Download/Access Video

## Video Processing

**Video Details**:
- Source: [URL or path]
- Duration: [X:XX]
- Resolution: [resolution]
- FPS: [frame rate]

**Extraction Settings**:
- Method: [Scene detection / Interval / Timestamps]
- Frame count: [N frames]
- Output format: PNG (high quality)
- Resolution: [Match source or specify]

Extract Frames (Using FFmpeg or similar)

# Scene detection method
ffmpeg -i input_video.mp4 -vf "select='gt(scene,0.3)',showinfo" -vsync vfr ./output/assets/keyframes/frame_%04d.png

# Every N seconds method
ffmpeg -i input_video.mp4 -vf fps=1/10 ./output/assets/keyframes/frame_%04d.png

# Specific timestamps
ffmpeg -i input_video.mp4 -ss 00:00:05 -vframes 1 ./output/assets/keyframes/frame_001.png

Analyze Each Frame

For each extracted frame:

## Keyframe Catalog

### Frame 001
**Timestamp**: 0:00:05
**Filename**: `frame_001.png`

**Visual Description**:
 : [What's the main focus]
 : [How elements are arranged]
 : [Close-up/Medium/Wide]
 : [Location/background]

:
 : [List 3-5 colors]
 : [Warm/Cool/Neutral]
 : [Low/Medium/High]
 : [Emotional quality]

:
 : [Natural/Studio/Mixed]
 : [Front/Side/Back]
 : [Soft/Hard]
 : [Bright/Dramatic/Neutral]

:
 [ ] Person/People
 [ ] Product
 [ ] Text overlay
 [ ] Graphics/Icons
 [ ] Logo/Branding
 [ ] Background elements

:
 Sharpness: [Sharp/Soft/Motion blur]
 Exposure: [Well-exposed/Overexposed/Underexposed]
 Depth of field: [Shallow/Deep]

:
 Style reference for: [What aspect]
 Prompt potential: [How to recreate]
 Storyboard position: [Where in narrative]

---


[Same structure as above]

---


[Continue for all extracted frames]

Output Format

Keyframe extraction should produce:

High-quality frame images: PNG format, original resolution
Detailed analysis: Visual description for each frame
Image prompts: Ready to use for regeneration
Style guide: Patterns and consistency analysis
Organized files: Clear naming and folder structure

Tips

Scene detection: Works best for videos with clear scene changes
Interval method: Good for consistent sampling across video
Quality over quantity: 5-10 meaningful frames better than 50 random ones
Timestamp notes: Always record exact timestamp for context
Prompt detail: More specific prompts = better regeneration results
Style consistency: Look for patterns across frames, not just individual shots

Technical Notes

# Extract one frame per second
ffmpeg -i input.mp4 -vf fps=1 output_%04d.png

# Extract high-quality frames at specific times
ffmpeg -i input.mp4 -ss 00:01:30 -vframes 1 -q:v 2 output.png

# Extract frames with scene detection (0.3 = sensitivity)
ffmpeg -i input.mp4 -vf "select='gt(scene,0.3)'" -vsync vfr output_%04d.png

# Extract every Nth frame
ffmpeg -i input.mp4 -vf "select='not(mod(n\,30))'" -vsync vfr output_%04d.png

Related Skills

Use video-analyzer first to understand video structure
Use prompt-generator to create detailed prompts from frames
Use batch-image-generator to recreate style from frame prompts
Use frames as reference when using video-segment-creator

Pattern Analysis

## Visual Patterns Across Frames

**Consistent Style Elements**:
- **Color Palette**: [Colors appearing in multiple frames]
- **Composition Style**: [Common framing approaches]
- **Lighting Style**: [Consistent lighting approach]
- **Visual Tone**: [Overall aesthetic consistency]

**Scene Breakdown**:
| Frame | Timestamp | Scene Type | Subject | Mood |
|-------|-----------|------------|---------|------|
| 001 | 0:05 | Opening | [Subject] | [Mood] |
| 002 | 0:18 | Intro | [Subject] | [Mood] |
| 003 | 0:45 | Content | [Subject] | [Mood] |
| ... | ... | ... | ... | ... |

**Transitions Between Frames**:
- Frame 1 → 2: [How scene changes]
- Frame 2 → 3: [How scene changes]

**Visual Progression**:
- [How visual style evolves through video]

Style Guide Creation

## Visual Style Guide (from extracted frames)

**Overall Aesthetic**: [Description]

**Color Scheme**:

Primary: [Color] (appears in frames: [list]) Secondary: [Color] (appears in frames: [list]) Accent: [Color] (appears in frames: [list])


**Composition Rules**:
- Rule of thirds: [Yes/No, which frames]
- Center framing: [Yes/No, which frames]
- Leading lines: [Yes/No, which frames]
- Symmetry: [Yes/No, which frames]

**Lighting Characteristics**:
- Typical setup: [Description]
- Key light position: [Common pattern]
- Fill/background: [Treatment]
- Overall brightness: [Light/Medium/Dark]

**Common Visual Elements**:
- Logo placement: [Where and how]
- Text style: [Font, size, position]
- Graphics: [Style description]
- Backgrounds: [Typical settings]

**Shot Variety**:
- Close-ups: [X% of frames]
- Medium shots: [X% of frames]
- Wide shots: [X% of frames]
- B-roll: [X% of frames]

Generate Image Prompts

For each frame, create recreation prompt:

## Image Generation Prompts

### Frame 001 Prompt

[Detailed prompt to recreate this frame]

Style: [aesthetic description] Subject: [main subject] Setting: [background/environment] Lighting: [lighting setup] Colors: [color palette] Mood: [emotional tone] Camera: [shot type and angle] Quality: [technical specs - 4K, photorealistic, etc.]


**Negative prompt**: [Elements to avoid]

---

### Frame 002 Prompt
[Same structure]

---

[Continue for all frames]

Organize Output

## File Organization

**Directory Structure**:

/output/assets/keyframes/[video-name]/ ├── frame_001.png (timestamp: 0:05) ├── frame_002.png (timestamp: 0:18) ├── frame_003.png (timestamp: 0:45) ├── ... ├── keyframe_analysis.md (this document) └── prompts.txt (all prompts for regeneration)


**Frame Index**:
- Total frames: [N]
- Format: PNG
- Resolution: [WxH]
- File size: ~[X]MB per frame

Provide Recommendations

## Recommendations for Use

**For Style Matching**:
- Use frames [X, Y, Z] as primary reference
- Match color palette from frame [X]
- Replicate composition style from frame [Y]
- Use lighting from frame [Z] as template

**For Regeneration**:
- Frames [X, Y] are best for image-to-video start points
- Frame [Z] works well for ending shot
- Transitions needed between: [frame pairs]

**For Storyboarding**:
- Frame sequence represents: [narrative flow]
- Use as visual reference for: [storyboard sections]
- Adapt composition from: [specific frames]

Create Comparison Grid (Optional)

## Visual Grid

[Create a markdown table or description showing frames side-by-side]

| Frame 001 | Frame 002 | Frame 003 |
|-----------|-----------|-----------|
| [0:05] | [0:18] | [0:45] |
| Opening hook | Intro | Main content |
| Wide shot | Medium | Close-up |

**Visual Evolution**: [How visual style progresses]

Provide Summary

✅ Keyframe extraction complete!

**Extracted**: [N] frames from [video name]
**Saved to**: `./output/assets/keyframes/[video-name]/`

**Frame Summary**:
- Total frames: [N]
- Time span: [start] to [end]
- Resolution: [WxH]
- Style: [Overall aesthetic]

**Notable Frames**:
- Frame [X] (timestamp): [Why notable]
- Frame [Y] (timestamp): [Why notable]
- Frame [Z] (timestamp): [Why notable]

**Files Created**:
- [N] PNG frame files
- keyframe_analysis.md
- prompts.txt

**Next Steps**:
1. Review frames and analysis
2. Use frames for style reference
3. Generate images: `Generate images from these keyframe prompts`
4. Create storyboard: `Create storyboard using these frames`
5. Analyze patterns: `Analyze visual style from these frames`

What would you like to do with these frames?