kb-collector
Knowledge Base Collector - save YouTube, URLs, text to Obsidian with AI summarization. Auto-transcribes videos, fetches pages, supports weekly/monthly digest emails and nightly research.
Best use case
kb-collector is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Knowledge Base Collector - save YouTube, URLs, text to Obsidian with AI summarization. Auto-transcribes videos, fetches pages, supports weekly/monthly digest emails and nightly research.
Teams using kb-collector should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/kb-collector/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How kb-collector Compares
| Feature / Agent | kb-collector | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Knowledge Base Collector - save YouTube, URLs, text to Obsidian with AI summarization. Auto-transcribes videos, fetches pages, supports weekly/monthly digest emails and nightly research.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# KB Collector
Knowledge Base Collector - Save YouTube, URLs, and text to Obsidian with automatic transcription and summarization.
## Features
- **YouTube Collection** - Download audio, transcribe with Whisper, auto-summarize
- **URL Collection** - Fetch and summarize web pages
- **Plain Text** - Direct save with tags
- **Digest** - Weekly/Monthly/Yearly review emails
- **Nightly Research** - Automated AI/LLM/tech trend tracking
## Installation
```bash
# Install dependencies
pip install yt-dlp faster-whisper requests beautifulsoup4
# For AI summarization (optional)
pip install openai anthropic
```
## Usage (Python Version - Recommended)
```bash
# Collect YouTube video
python3 scripts/collect.py youtube "https://youtu.be/xxxxx" "stock,investing"
# Collect URL
python3 scripts/collect.py url "https://example.com/article" "python,api"
# Collect plain text
python3 scripts/collect.py text "My note content" "tag1,tag2"
```
## Usage (Bash Version - Legacy)
```bash
# Collect YouTube
./scripts/collect.sh "https://youtu.be/xxxxx" "stock,investing" youtube
# Collect URL
./scripts/collect.sh "https://example.com/article" "python,api" url
# Collect plain text
./scripts/collect.sh "My note" "tag1,tag2" text
```
## Nightly Research (New!)
Automated AI/LLM/tech trend tracking - runs daily and saves to Obsidian.
```bash
# Save to Obsidian only
./scripts/nightly-research.sh --save
# Save to Obsidian AND send email
./scripts/nightly-research.sh --save --send
# Send email only
./scripts/nightly-research.sh --send
```
### Features
- Searches multiple sources (Hacker News, Reddit, Twitter)
- LLM summarization (optional)
- Saves to Obsidian with tags
- Optional email digest
### Cron Setup (optional)
```bash
# Run every night at 10 PM
0 22 * * * /path/to/nightly-research.sh --save --send
```
## Configuration
Edit the script to customize:
```python
VAULT_PATH = os.path.expanduser("~/Documents/YourVault")
NOTE_AUTHOR = "YourName"
```
## Output Format
Notes saved to: `{VAULT_PATH}/yyyy-mm-dd-title.md`
```markdown
---
created: 2026-03-03T12:00:00
source: https://...
tags: [stock, investing]
author: George
---
# Title
> **TLDR:** Summary here...
---
Content...
---
*Saved: 2026-03-03*
```
## Dependencies
- yt-dlp
- faster-whisper (for transcription)
- requests + beautifulsoup4 (for URL fetching)
- Optional: openai/anthropic (for AI summarization)
## Credits
Automated note-taking workflow for Obsidian.Related Skills
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