8da7261fa0
- YouTube Content Pipeline: Automated video idea scouting with X/Twitter integration - Personal CRM: Contact discovery and meeting prep automation - AI Earnings Tracker: Tech earnings monitoring and summaries - Knowledge Base (RAG): Searchable repository of saved content - Health & Symptom Tracker: Food and symptom logging with pattern analysis - Multi-Channel Assistant: Unified interface across Telegram, Slack, Google Workspace All use cases verified in daily production use by @matthewberman
1.9 KiB
YouTube Content Pipeline
As a daily YouTube creator, finding fresh, timely video ideas across the web and X/Twitter is time-consuming. Tracking what you've already covered prevents duplicates and helps you stay ahead of trends.
This workflow automates the entire content scouting and research pipeline:
• Hourly cron job scans breaking AI news (web + X/Twitter) and pitches video ideas to Telegram • Maintains a 90-day video catalog with view counts and topic analysis to avoid re-covering topics • Stores all pitches in a SQLite database with vector embeddings for semantic dedup (so you never get pitched the same idea twice) • When you share a link in Slack, OpenClaw researches the topic, searches X for related posts, queries your knowledge base, and creates an Asana card with a full outline
Skills you Need
web_search(built-in)- x-research-v2 or custom X/Twitter search skill
- knowledge-base skill for RAG
- Asana integration (or Todoist)
gogCLI for YouTube Analytics- Telegram topic for receiving pitches
How to Set it Up
- Set up a Telegram topic for video ideas and configure it in OpenClaw.
- Install the knowledge-base skill and x-research skill.
- Create a SQLite database for pitch tracking:
CREATE TABLE pitches (
id INTEGER PRIMARY KEY,
timestamp TEXT,
topic TEXT,
embedding BLOB,
sources TEXT
);
- Prompt OpenClaw:
Run an hourly cron job to:
1. Search web and X/Twitter for breaking AI news
2. Check against my 90-day YouTube catalog (fetch from YouTube Analytics via gog)
3. Check semantic similarity against all past pitches in the database
4. If novel, pitch the idea to my Telegram "video ideas" topic with sources
Also: when I share a link in Slack #ai_trends, automatically:
1. Research the topic
2. Search X for related posts
3. Query my knowledge base
4. Create an Asana card in Video Pipeline with a full outline