An automated AI skill that scrapes, filters, and synchronizes the latest internet slang and memes into a structured Dify knowledge base.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meme-collector
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-collector 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 Collector?
The Meme Collector is a specialized automation tool designed for users of Openclaw Skills who need to keep their AI agents culturally relevant. It monitors social media platforms and the broader web for the latest trending phrases, slang, and internet memes, ensuring your knowledge base is never out of date.
This skill doesn't just copy-paste; it analyzes the context, meaning, and popularity of new trends. By leveraging Dify's API, it performs intelligent de-duplication to ensure that your database remains clean and high-quality, making it an essential component for any Openclaw Skills deployment focused on social media or modern communication.
Meme Collector Use Cases
- Automatically populating a Dify knowledge base with 2025 internet slang for content creation agents.
- Maintaining a de-duplicated repository of social media trends for marketing and brand sentiment analysis.
- Enhancing AI chatbot personality by providing structured context on current cultural references.
- Syncing multi-platform trends from Douyin, Bilibili, and Weibo into a centralized research database.
How Meme Collector Works
- Scans the existing Dify knowledge base to create a baseline for de-duplication.
- Executes multi-dimensional web searches using targeted keywords to identify fresh trending topics.
- Fetches and extracts detailed article content to define the meme's origin, meaning, and usage.
- Structurally formats the data into a standardized schema and performs semantic de-duplication.
- Batch uploads the new entries to the Dify dataset using a dedicated Python operation script with rate-limit protection.
Meme Collector Setup
To integrate this into your Openclaw Skills workflow, you need to configure your Dify credentials and proxy settings. Ensure the following environment variables or tool parameters are set:
# Required Configuration
DATASET_ID="your_dify_dataset_id"
API_KEY="your_dataset_api_key"
PROXY="http://127.0.0.1:20171" # Optional for API access
You can verify your connection by listing existing entries:
python3 scripts/dify_ops.py --dataset-id $DATASET_ID --api-key $API_KEY --proxy $PROXY list
Meme Collector Data Schema & Taxonomy
The skill organizes data using a structured JSON format before writing to the knowledge base. Each entry follows a specific taxonomy:
| Attribute | Description |
|---|---|
| name | The primary identifier or keyword of the meme. |
| text | Markdown-formatted content including origin, meaning, and usage guide. |
| popularity | A heat-level rating based on current social media traction. |
| metadata | Platform sources (Douyin, Weibo, etc.) and timestamp of collection. |
Meme Collector Advanced Features
- Semantic De-duplication: Prevents redundant entries even if the meme names differ slightly.
- Script Integration Guides: Automatically generates practical instructions for AI agents on how to use specific memes in conversation.
- Dual-layer Verification: Checks for duplicates both during the structural phase and the API writing phase for maximum database integrity.
- Rate-limit Throttling: Includes a 1-second delay between writes to ensure stability when using Openclaw Skills with external APIs.
SKILL.md
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