carocut-planner-analysis

Name: carocut-planner-analysis
Availability: InStock
Author: bilibili

Extract and catalog video production materials into inventory.yaml and data.json.

120|12|Updated Mar 20, 2026

Search Tags:#pdf #inventory #video-production #data-json #image-extraction #material-analysis #raws-directory

Ready to run

npx skills add https://github.com/bilibili/carocut --skill carocut-planner-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: carocut-planner-analysis
Source: https://github.com/bilibili/carocut/tree/main/.opencode/skills/carocut-planner-analysis
Command: npx skills add https://github.com/bilibili/carocut --skill carocut-planner-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the extraction and organization of raw video production materials from PDFs, images, and URLs into a structured inventory that drives planning and asset management.

Core Features & Use Cases

Material decomposition and data inventory: Extracts text, images, and tables from PDFs and sources, and creates a centralized inventory.yaml.
Raws directory structuring: Organizes media into raws/images, raws/videos, raws/audio, enabling predictable downstream processing.
End-to-end planning support: Feeds planning, media, and reviewer stages with structured data to reduce manual setup.

Quick Start

Provide raw materials (PDFs, images, and URLs) to initialize the planning inventory and generate the raws/ directory.

Frequently Asked Questions about carocut-planner-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract images and text from PDFs for video production planning?▼

To extract images and text from PDFs for video production planning, supply your source PDFs to generate a structured inventory.yaml and a raws/ directory that organizes all extracted media assets for downstream processing.

What is a raws directory and how does it organize video production materials?▼

A raws directory organizes extracted video production materials by categorizing media into structured subdirectories like raws/images, raws/videos, and raws/audio, ensuring predictable asset management and feeding downstream planning stages.

Can I use URLs and images as source materials alongside PDFs for inventory extraction?▼

Yes, you can use URLs and images alongside PDFs for inventory extraction. The tool applies content extraction across these mixed sources to decompose media and generate a centralized data.json file.

How do I generate a structured data.json and inventory.yaml from raw video assets?▼

To generate a structured data.json and inventory.yaml from raw video assets, provide your source files for automatic decomposition. The system extracts text, images, and tables, then outputs these structured files for end-to-end planning.

Does PDF decomposition for video planning handle errors when extracting media from corrupted sources?▼

PDF decomposition for video planning includes robust error handling during media extraction. If source files are problematic, the system applies error management protocols to ensure clear output formats and prevent planning workflow interruptions.

What's the best way to automate raw material cataloging for downstream video planning?▼

The best way to automate raw material cataloging for downstream video planning is to input PDFs, images, and URLs directly to generate a centralized inventory.yaml, which feeds structured data into media and reviewer stages with minimal manual setup.