Meme Master enables AI agents to interpret and respond to memes and stickers with human-like social intuition instead of rigid image analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meme-master
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install meme-master 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 Meme Master?
Meme Master is a specialized skill designed for Openclaw Skills that transforms how AI agents interact with visual culture. Rather than treating every image as a data extraction task, this skill allows agents to understand the social subtext, vibes, and emotional weight of memes and stickers. It bridges the gap between robotic OCR and natural, high-context human conversation.
By implementing this skill, agents gain the ability to curate their own lightweight meme libraries, manage a social index of reaction images, and match the user's conversational energy. It ensures that the AI stays in character, using memes as 'seasoning' to build rapport without overwhelming the technical or serious aspects of a dialogue.
Meme Master Use Cases
- Responding to reaction images with appropriate social subtext rather than literal descriptions.
- Automatically building a curated library of brand-consistent memes from user interactions.
- Adjusting conversation warmth based on the user's frequency of sticker and emoji usage.
- Switching between casual 'vibe' mode and professional 'literal analysis' mode based on explicit user triggers.
How Meme Master Works
- Inbound image detection: The agent receives an image and determines if it is a meme/sticker or a document/UI screenshot.
- Contextual evaluation: If identified as a meme, the agent interprets the social meaning (e.g., smugness, approval, despair) instead of performing OCR.
- Dynamic response generation: The agent crafts a reply that acknowledges the joke or emotion naturally.
- Library management: The agent selectively saves high-value, reusable memes to a local workspace.
- Indexing: Metadata including vibe, usage count, and last-used timestamps are updated in a central markdown ledger.
Meme Master Setup
To integrate Meme Master into your agent workspace, ensure your directory structure follows the Openclaw Skills convention:
# Create the meme directory in your active workspace
mkdir -p ~/openclaw/workspace-name/memes/
# Initialize the meme index file
touch ~/openclaw/workspace-name/memes/meme-index.md
Configure your agent persona to reference the meme-master skill definition to enable the social heuristic logic.
Meme Master Data Schema & Taxonomy
The skill organizes data within the active workspace to ensure portability and easy maintenance:
| File/Folder | Description | Purpose |
|---|---|---|
/memes/ |
Root directory | Stores organized sub-folders of image files (e.g., /happy, /awkward). |
meme-index.md |
Catalog Ledger | A markdown file tracking filenames, social vibes, and usage statistics. |
last-used |
Metadata | Timestamp used to identify 'dead weight' memes for pruning. |
vibe |
Metadata | Defines the emotional trigger for the specific meme. |
Meme Master Advanced Features
- Social Heuristic Selection: Prioritizes memes based on clearest emotional match and least disruptive tone.
- Automated Pruning: Identifies low-value or redundant memes once the library exceeds the preferred 50-100 image cap.
- Persona-Driven Frequency: Automatically scales meme usage up or down based on the agent's defined personality (e.g., 'playful' vs 'restrained').
- Workspace Isolation: Maintains separate meme libraries for different agent instances within the Openclaw Skills environment.
SKILL.md
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