Parse M3U/M3U8 playlists into a portable SQL dump.
npx skills add https://github.com/vcaldo/continuo --skill playlist2sqlite
Please help me install this Agent Skill. Skill: playlist2sqlite Source: https://github.com/vcaldo/continuo/tree/main/skills_scripts/playlist2sqlite Command: npx skills add https://github.com/vcaldo/continuo --skill playlist2sqlite
Converts M3U/M3U8 IPTV playlists into a portable SQL dump to enable efficient querying, analysis, and integration with SQLite databases.
Run scripts/playlist2sqlite.sh --input playlist.m3u --name channels to generate channels.sql and import it into SQLite for querying.
High-intent search queries and answers about installing and using this skill.
You can convert an M3U playlist to SQL by running the provided script with your local file or URL input. It outputs a portable SQL dump designed for fast ingestion and querying within a SQLite database.
Yes, you can parse IPTV playlists from remote URLs directly. The script accepts URL inputs and includes retry logic to handle network issues, streaming the data into a structured SQL dump for SQLite integration.
The best way to analyze very large M3U files is using a streaming parser that converts them to SQL. This skill is optimized for 100k+ entries, utilizing streaming parsing and progress indicators to handle large IPTV datasets efficiently.
Yes, this M3U to SQL parser works with both M3U and M3U8 file formats. It processes the IPTV playlist data from either format and converts it into a compact SQL dump for database querying.
Yes, you need curl and sqlite3 installed, along with standard Unix text processing tools like sed, awk, and grep. These dependencies are required to fetch remote playlists and manage the SQL dump generation.
Converting IPTV playlists into a SQL dump enables powerful queries, filtering, and subset exporting. It allows efficient cataloging and fast analytics that are difficult to achieve with raw, unstructured M3U text files.
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