Does this skill support localized development?

Yes, it strictly adheres to Traditional Chinese (zh-TW) for all responses, UI text, and technical documentation to ensure consistency in Chinese-speaking regions.

How does it handle database performance for large media collections?

It implements an 'Incremental JSON Database' with a Journaling mechanism, which can be up to 40 times faster than standard full-file JSON writes.

What is the primary search strategy used by this skill?

The skill utilizes a 'Cascade Search' strategy, sequentially querying AV-WIKI, Chiba-f, and JAVDB until the required information is found.

Which programming language and libraries are required?

The skill is optimized for Python 3.11+ using Tkinter for GUI, asyncio/aiohttp for networking, and BeautifulSoup4 for scraping.

Actress Classifier Development Guide

Name: Actress Classifier Development Guide
Author: cy5407

bycy5407

ウェブスクレイピングとデータ収集

Streamlines the development of Python-based video classification systems with optimized scraping and incremental database management.

概要

This skill provides a comprehensive framework for building and maintaining a specialized actress classification system using Python and Tkinter. It standardizes the development workflow with Traditional Chinese (zh-TW) terminology and specific coding patterns for high-performance data handling. By implementing a cascade search strategy across sources like AV-WIKI and JAVDB, along with a 'Journal' mechanism for incremental database writes, it enables developers to create responsive, industrial-grade media organization tools that handle large datasets with 40x faster write speeds.

主な機能

High-performance incremental JSON database using a Journal mechanism for 40x faster data operations
Thread-safe Tkinter GUI patterns for managing long-running background tasks without freezing the interface
Asynchronous batch scraping architecture utilizing asyncio and aiohttp for high-concurrency tasks
Strict Traditional Chinese (zh-TW) localization standards for all code comments, logs, and UI elements
Cascade search strategy across multiple sources (AV-WIKI, Chiba-f, JAVDB) for reliable metadata retrieval
0 GitHub stars

ユースケース

Optimizing legacy Python media management tools with modern async patterns and efficient storage mechanisms
Building high-speed web scrapers for Japanese media databases with built-in concurrency and fallback logic
Developing desktop applications to automatically rename and organize media files based on actress metadata

概要

主な機能

High-performance incremental JSON database using a Journal mechanism for 40x faster data operations
Thread-safe Tkinter GUI patterns for managing long-running background tasks without freezing the interface
Asynchronous batch scraping architecture utilizing asyncio and aiohttp for high-concurrency tasks
Strict Traditional Chinese (zh-TW) localization standards for all code comments, logs, and UI elements
Cascade search strategy across multiple sources (AV-WIKI, Chiba-f, JAVDB) for reliable metadata retrieval
0 GitHub stars

ユースケース

Optimizing legacy Python media management tools with modern async patterns and efficient storage mechanisms
Building high-speed web scrapers for Japanese media databases with built-in concurrency and fallback logic
Developing desktop applications to automatically rename and organize media files based on actress metadata