video-caption-burner

Burn existing subtitles or captions directly into video exports so they remain visible across platforms and players. Use when a team already has captions and needs a platform-ready, subtitle-baked video for social, ads, storefronts, or review links.

33 stars

Best use case

video-caption-burner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Burn existing subtitles or captions directly into video exports so they remain visible across platforms and players. Use when a team already has captions and needs a platform-ready, subtitle-baked video for social, ads, storefronts, or review links.

Teams using video-caption-burner should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/video-caption-burner/SKILL.md --create-dirs "https://raw.githubusercontent.com/aAAaqwq/AGI-Super-Team/main/skills/video-caption-burner/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/video-caption-burner/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How video-caption-burner Compares

Feature / Agentvideo-caption-burnerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Burn existing subtitles or captions directly into video exports so they remain visible across platforms and players. Use when a team already has captions and needs a platform-ready, subtitle-baked video for social, ads, storefronts, or review links.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Video Caption Burner

Burn captions into the video itself so they stay visible everywhere.

## Problem it solves
A lot of teams already have subtitle text, SRT files, or caption timing—but still lose time because playback environments don’t reliably show captions. This skill takes existing captions and bakes them into the video so the final export is consistent across platforms, players, and review workflows.

## Use when
- A team already has captions and wants them permanently visible
- A platform or delivery channel handles subtitle tracks badly
- A social, ad, storefront, or review export needs captioned playback by default
- The user wants styled hardcoded subtitles instead of optional subtitle files

## Do not use when
- The user still needs transcription or caption generation from audio
- The team wants captions to remain separately editable at playback time
- Subtitle timing is incomplete or unreliable and needs repair first

## Inputs
- Source video file
- Existing subtitle file or caption text with timing
- Caption style preference: clean, bold, social, storefront-safe, etc.
- Optional placement, font-size, color, background, and line-length constraints
- Target platform or use case

## Workflow
1. Confirm captions already exist and do not need transcription.
2. Choose a caption style appropriate for the destination.
3. Burn the captions into the frame while protecting readability.
4. Check for collisions with faces, products, demos, or key UI areas.
5. Export the final captioned video with style notes.

## Output
Return:
1. Caption burn-in plan
2. Style choice
3. Placement notes
4. Readability risks
5. Final export recommendation

## Quality bar
- Prioritize readability over decorative styling
- Avoid placing captions over critical product or face areas
- Keep line lengths manageable for mobile viewing
- Make captions feel native to the platform, not pasted on

## Resource
See `references/output-template.md`.

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