Query and aggregate Chrome history from SQLite and LevelDB stores.
npx skills add https://github.com/pinion05/skills --skill chrome-history
Please help me install this Agent Skill. Skill: chrome-history Source: https://github.com/pinion05/skills/tree/main/chrome-history Command: npx skills add https://github.com/pinion05/skills --skill chrome-history
## What problem does it solve? Chrome history is scattered across desktop SQLite DBs and synced mobile LevelDB records; this Skill lets you query and filter across both sources using natural-language commands, delivering structured results.
## Core Features & Use Cases
Run a sample query to fetch yesterday's history:
High-intent search queries and answers about installing and using this skill.
You can query Chrome history using natural language by running a Python script that fetches and aggregates data from both desktop SQLite stores and synced mobile LevelDB records, returning structured markdown results.
Yes, you can filter Chrome browsing history across date ranges like yesterday or last month, and apply site-specific filters for domains like reddit or medium, producing deduplicated grouped markdown with time, title, and URL.
You need Python 3.7+ and access to local Chrome history databases to analyze desktop SQLite stores, while optional ccl_chromium_reader support is required to parse and query synced mobile LevelDB records.
The best way to extract reading and research history is using a natural-language query tool that filters Chrome SQLite databases by content type and keywords, delivering grouped markdown outputs with titles and URLs.
Querying synced mobile records fails without the optional ccl_chromium_reader dependency, which is specifically required to parse and extract history data from synced LevelDB records alongside desktop SQLite stores.
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KISHOR403Parse natural-language queries to filter Chrome history by date, content, and site.
glebisQuery Chrome history from SQLite and LevelDB stores with natural language.
