mirror of
https://github.com/hesamsheikh/awesome-openclaw-usecases.git
synced 2026-02-23 19:25:11 +00:00
Add 6 real-world use cases from YouTube creator workflow
- 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
This commit is contained in:
48
usecases/youtube-content-pipeline.md
Normal file
48
usecases/youtube-content-pipeline.md
Normal file
@@ -0,0 +1,48 @@
|
||||
# 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](https://clawhub.ai) or custom X/Twitter search skill
|
||||
- [knowledge-base](https://clawhub.ai) skill for RAG
|
||||
- Asana integration (or Todoist)
|
||||
- `gog` CLI for YouTube Analytics
|
||||
- Telegram topic for receiving pitches
|
||||
|
||||
## How to Set it Up
|
||||
|
||||
1. Set up a Telegram topic for video ideas and configure it in OpenClaw.
|
||||
2. Install the knowledge-base skill and x-research skill.
|
||||
3. Create a SQLite database for pitch tracking:
|
||||
```sql
|
||||
CREATE TABLE pitches (
|
||||
id INTEGER PRIMARY KEY,
|
||||
timestamp TEXT,
|
||||
topic TEXT,
|
||||
embedding BLOB,
|
||||
sources TEXT
|
||||
);
|
||||
```
|
||||
4. Prompt OpenClaw:
|
||||
```text
|
||||
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
|
||||
```
|
||||
Reference in New Issue
Block a user