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batch-processing
Imported from https://github.com/az9713/cerebro.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
2
Hot score
79
Updated
March 20, 2026
Overall rating
C3.0
Composite score
3.0
Best-practice grade
A92.4
Install command
npx @skill-hub/cli install az9713-cerebro-batch-processing
Repository
az9713/cerebro
Skill path: .claude/skills/batch-processing
Imported from https://github.com/az9713/cerebro.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: az9713.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install batch-processing into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/az9713/cerebro before adding batch-processing to shared team environments
- Use batch-processing for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: batch-processing
description: Process multiple content items from a batch list file. Use when the user wants to analyze multiple videos, articles, or papers at once, mentions batch processing, or has a list of items to process.
---
# Batch Content Processing
Process multiple items from a batch file sequentially.
## When to Use
Activate this skill when the user:
- Wants to process multiple items at once
- Mentions "batch", "multiple", "list of videos/articles/papers"
- Has a file containing multiple items to analyze
- Wants to process their reading/watching list
## Batch File Format
The batch file supports two formats:
### Format 1: Explicit Commands
```
# Lines starting with # are comments (ignored)
# Empty lines are ignored
# Format: COMMAND ARGUMENT
yt inbox/video1.txt
yt https://youtube.com/watch?v=abc123
read https://example.com/article1
arxiv https://arxiv.org/abs/2401.12345
```
### Format 2: Auto-Detect (URLs only)
```
# Just list URLs - type is auto-detected
https://youtube.com/watch?v=abc123
https://youtu.be/def456
https://example.substack.com/p/article
https://arxiv.org/abs/2401.12345
```
**Auto-detection rules:**
- Contains `youtube.com` or `youtu.be` → treat as YouTube video
- Contains `arxiv.org` → treat as arXiv paper
- Other URLs → treat as article
## Instructions
1. **Get the batch file path** - Ask the user for the file path if not provided
2. **Read the batch file** at the path provided
3. If file not found:
- Inform user: "Batch file not found at [path]"
- Stop here
4. **Parse the file**:
- Skip empty lines
- Skip lines starting with #
- For each valid line, determine the type:
- If line starts with `yt`, `read`, `arxiv`, `analyze` → use explicit command
- If line is a URL → auto-detect type
- If line is a file path → ask user or treat as generic content
5. **Process each item sequentially**:
- For YouTube URLs: Run yt-dlp first to fetch transcript, then analyze
- For `yt` with file path: Read file directly, then analyze
- For `read`: Follow the article analysis workflow
- For `arxiv`: Follow the arXiv paper workflow
- For `analyze`: Follow the generic analysis workflow
- Track successes and failures
6. **After all items processed**, show summary:
- Total items processed
- Successful: [count]
- Failed: [count] (list any failures with reasons)
- Reports saved to: reports/ subfolders
- Activity logged to: logs/YYYY-MM-DD.md
## YouTube URL Processing
When a YouTube URL is encountered (either explicit `yt <url>` or auto-detected):
1. Run yt-dlp to fetch transcript:
```bash
yt-dlp --write-auto-sub --write-sub --sub-lang en --skip-download --convert-subs srt -o "inbox/%(title)s" "<URL>"
```
2. Read the downloaded `.en.srt` file from `inbox/`
3. Proceed with normal YouTube analysis workflow
## Example Output
```
Batch processing complete!
Processed: 5 items
- Successful: 4
- Failed: 1
Failures:
- https://youtube.com/watch?v=private123 - No English captions found
Reports saved to:
- reports/youtube/ (2 files)
- reports/articles/ (1 file)
- reports/papers/ (1 file)
Transcripts saved to:
- inbox/ (2 files downloaded via yt-dlp)
Activity logged to: logs/2024-12-22.md
```
## Error Handling
- If a single item fails, continue with the next item
- Track all failures and report them at the end
- Don't stop the entire batch for one failure
- For yt-dlp errors: Log the failure and continue
**Common yt-dlp errors:**
- yt-dlp not installed → Log: "yt-dlp not found. Install with: pip install yt-dlp"
- No captions → Log: "No English captions found for [URL]"
- Network error → Log: "Failed to fetch transcript for [URL]"
## Related
- Slash command equivalent: `/batch <filepath>`
- Supported commands: yt, read, arxiv, analyze
- Output location: `reports/` subfolders
- Transcript location: `inbox/` (for downloaded transcripts)