Caption Generator Meme for Openclaw

A professional AI-powered tool designed to generate and overlay humorous captions onto video clips and images for social media content.

vynbosserman65
v1.0.0
Apr 17, 2026
0
295
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install caption-generator-meme

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install caption-generator-meme using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Caption Generator Meme?

The Caption Generator Meme skill is a powerful automation tool for Openclaw Skills that streamlines the creation of viral social media content. By leveraging a cloud-based GPU rendering pipeline, it allows users to transform raw video files or images into high-quality captioned memes. It is specifically optimized for short-form content, making it a go-to solution for TikTok creators and digital marketers who need to produce engaging videos quickly.

This skill handles the heavy lifting of video processing, including layer compositing and platform-specific compression (H.264). Whether you are starting with a 10-second video clip of a cat sliding off a table or complex image assets, the skill automates the captioning process, delivering a polished 1080p MP4 file in as little as 20 to 40 seconds.

Caption Generator Meme Use Cases

  • Creating viral meme content for TikTok, Instagram Reels, and YouTube Shorts.
  • Automatically adding AI-generated meme captions to funny video clips for social media engagement.
  • Converting static images into captioned video memes with custom text overlays.
  • Batch processing multiple video clips with different humor styles in a single session.
  • Rapidly prototyping video ads with text-based calls to action or humorous hooks.

How Caption Generator Meme Works

  1. Authentication: The skill establishes a secure connection using a NEMO_TOKEN or generates an anonymous session via the Nemo API.
  2. Upload: Users provide media files (up to 200MB) such as MP4, MOV, or GIF through a simple upload command.
  3. Instruction Processing: The AI interprets natural language prompts to determine the caption style, timing, and placement.
  4. Cloud Rendering: The project is queued on a cloud GPU node where video layers are composited and captions are overlaid.
  5. Export & Delivery: The system generates a download URL for a 1080p MP4 file, typically ready within 30-90 seconds.

Caption Generator Meme Setup

To get started with this skill in your Openclaw Skills environment, ensure your environment variables are configured.

# Set your API token
export NEMO_TOKEN="your_token_here"

# The skill will automatically initialize the session on first use.
# If you do not have a token, the skill will request an anonymous 100-credit token.

Caption Generator Meme Data Schema & Taxonomy

The skill manages video projects using a specific metadata taxonomy to track segments and media types.

Field Description
t Tracks (The array of media layers)
tt Track Type (0: Video, 1: Audio, 7: Text)
sg Segments (The specific clips within a track)
d Duration (Measured in milliseconds)
m Metadata (Information about the source file)

Supported File Types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Caption Generator Meme Advanced Features

  • Server-Sent Events (SSE): Real-time status updates for complex video generation tasks.
  • Timeline State Management: Retrieve and modify the draft state of a video to tweak captions without re-uploading.
  • Multi-Track Compositing: Support for simultaneous video, background music (BGM), and text overlay tracks.
  • Cloud GPU Pipeline: High-speed rendering for 1080p output regardless of local hardware limitations.
  • Credit Management: Built-in commands to check balance and status of rendering resources.

SKILL.md


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