Query and summarize Chrome history from a local SQLite database.
npx skills add https://github.com/pinion05/skills --skill browsing-history
Please help me install this Agent Skill. Skill: browsing-history Source: https://github.com/pinion05/skills/tree/main/browsing-history Command: npx skills add https://github.com/pinion05/skills --skill browsing-history
This skill helps you extract and summarize your Chrome browsing history across all synced devices, turning scattered links into organized insights.
High-intent search queries and answers about installing and using this skill.
Query multi-device Chrome browsing history by running a Python script against a local SQLite database, filtering by natural-language time ranges and specific devices like iPhone or desktop to return organized results.
Yes, you can export browsing history to Markdown or JSON formats for Obsidian workflows, outputting filtered and grouped results directly to files for note-taking or dashboard integration.
Extracting and categorizing Chrome browsing data requires a local SQLite database file and a Python query script, while optional LLM categorization needs the llm CLI enabled to classify pages into content categories.
Yes, the browsing history extraction tool supports natural-language date ranges such as yesterday or last week, enabling quick temporal filtering without writing complex SQL queries manually.
The main limitation is the strict dependency on a local SQLite database at a specific path, meaning it cannot query cloud history directly and requires synced data to be present locally beforehand.
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