An automated AI skill that converts daily top Subreddit posts into concise, actionable Markdown reports and social media content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reddit-digest
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-digest 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 Digest?
The Reddit Digest skill is a sophisticated automation tool designed for Openclaw Skills to monitor and synthesize discussions from specific Subreddits. It systematically retrieves the most popular posts from the last 24 hours, including detailed comment threads, and processes them into high-value intelligence reports. By leveraging advanced AI analysis, it transforms raw social data into summaries, key takeaways, and practical advice.
This skill is particularly useful for developers, marketers, and researchers who need to stay updated on niche communities without spending hours scrolling through threads. It provides a structured way to capture the pulse of a community, identify trends, and even draft social media copy based on trending topics, all formatted in professional Markdown documents through the power of Openclaw Skills.
Reddit Digest Use Cases
- Creating daily intelligence briefings from specific tech communities like r/ClaudeAI or r/MachineLearning.
- Generating content ideas and social media drafts based on trending Reddit discussions.
- Archiving community sentiment and core technical discussions for research purposes.
- Monitoring competitor subreddits for product feedback and user pain points.
How Reddit Digest Works
- The skill initializes a timestamped directory structure based on the configured base directory and target Subreddit.
- It executes a background batch process using autocli to fetch the top 20 posts from the last 24 hours.
- A specialized Python script performs serial fetching of post details and comment hierarchies to prevent browser conflicts.
- Each post is stored as a structured JSON file containing metadata, original content, and multi-level comment threads.
- The AI agent analyzes each JSON file, filters out low-value content, and synthesizes the remaining data into a comprehensive Markdown digest.
Reddit Digest Setup
To get started with this skill in Openclaw Skills, ensure you have the necessary dependencies and scripts in your workspace. Configure your environment variables or provide CLI arguments as follows:
# Set environment variables (optional)
export REDDIT_DIGEST_BASE_DIR="/your/path/to/digest"
export REDDIT_DIGEST_SUBREDDIT="ClaudeAI"
# The skill will automatically handle directory creation:
mkdir -p {BASE_DIR}/{DATE}/{SUBREDDIT}/temp
The skill relies on autocli for browser-based scraping and a local fetch_post_details.py script for batch processing within the Openclaw Skills environment.
Reddit Digest Data Schema & Taxonomy
Reddit Digest organizes data into a temporal hierarchy. For each execution, it generates a structured dataset:
- Directory Hierarchy:
{BASE_DIR}/{YYYYMMDD}/{subreddit_name}/ - Temporary Storage: JSON files are stored in the
/temp/folder, named{rank}-{title}.json.
| Field | Description |
|---|---|
| rank | The post's position in the top list |
| meta | Contains author, upvotes, url, and title |
| content | Array of objects including POST content and L0/L1 comments |
| error | Error logs captured during scraping failures |
The final output is a consolidated Markdown file containing the full summary and analysis generated by Openclaw Skills.
Reddit Digest Advanced Features
- Background execution support to handle long-running scraping tasks (over 3 minutes) without session timeouts.
- Automatic error handling that falls back to metadata summaries if full content extraction is blocked or fails.
- Multi-level comment analysis (L0 and L1) to capture deep contextual insights and community sentiment.
- Integrated social media copy generation based on the analyzed post content for easy sharing.
- Customizable ranking parameters and time-frame filtering for targeted community research using Openclaw Skills.
SKILL.md
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