Transform Reddit-sourced travel recommendations into professional Instagram carousel posts automatically.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reddit-quote-carousel
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 reddit-quote-carousel 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 Reddit Quote Carousel?
The Reddit Quote Carousel skill for Openclaw Skills is a sophisticated automation pipeline designed to bridge the gap between community-driven insights and visual social media content. It extracts high-signal, personal recommendations from Reddit via popular-picks pages and converts them into visually appealing Instagram slides. By utilizing advanced vision-scoring for photo selection and automated text overlays, this skill ensures that every post maintains a high aesthetic standard while providing authentic, insider value to followers.
This workflow is specifically engineered for creators and brands who want to leverage the power of Openclaw Skills to maintain a consistent, high-quality social presence without the manual overhead of graphic design and content sourcing. By combining web scraping, computer vision, and social media API integration, it creates a seamless bridge from raw data to published content.
Reddit Quote Carousel Use Cases
- Repurposing community discussions into viral social media assets.
- Creating Top Lists for specific travel destinations based on real user feedback.
- Automating content creation for travel influencers or digital marketing agencies using Openclaw Skills.
- Showcasing authentic Reddit quotes to build trust and engagement with a destination-focused audience.
How Reddit Quote Carousel Works
- The agent fetches a specified popular-picks URL via web_fetch to extract attraction names, vivid Reddit quotes, and subreddit metadata.
- It performs an automated web search to find high-quality images for each attraction and uses a vision-scoring model to select the best visual match.
- A JSON manifest is generated in the temporary directory to organize all content, including the destination hero photo and specific attraction slides.
- The skill triggers a Python-based overlay engine to apply clean and quote visual styles to the images for a professional look.
- Finally, the processed images are hosted and published as a multi-slide carousel post directly to Instagram with a dynamically generated caption.
Reddit Quote Carousel Setup
To use this within the Openclaw Skills ecosystem, ensure your environment is configured for photo processing and Instagram API access.
# Navigate to the skills directory
cd ~/.openclaw/workspace/skills/instagram-photo-text-overlay
# Install necessary Python dependencies
pip install -r requirements.txt
# The skill is triggered by the keyword "reddit-quote" in your agent interface.
Reddit Quote Carousel Data Schema & Taxonomy
The skill manages data through a structured manifest file located at /tmp/ig-reddit-quote/manifest.json.
| Key | Description |
|---|---|
| destination | The target city or region (e.g., Barcelona) |
| category | The theme of the picks (e.g., Cheap Eats) |
| reddit_post_count | Total number of Reddit posts analyzed for social proof |
| slides | An array containing the attraction name, specific quote, and local photo path |
Reddit Quote Carousel Advanced Features
- Multi-agent orchestration using three specialized sub-agents for scraping, editing, and publishing within the Openclaw Skills framework.
- Integrated vision-scoring to ensure only the highest quality photos are used in the carousel.
- Support for custom branding via watermarks and specific visual styles like clean or quote.
- Dynamic caption generation featuring provocative engagement questions and relevant hashtag clusters.
- Automatic cleanup of local temporary files and hosted assets after the publication lifecycle is complete.
SKILL.md
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