chrome-history

Query Chrome browsing history with natural language. Filter by date range, article type, keywords, and specific sites.

17stars1forksUpdated 2/21/2026

Data Science & ML #natural-language-processing #browsing-history #content-filtering #data-analysis #python #chrome-history

Security Assessment

Safe(100/100)

Security Score100/100

About chrome-history

The 'chrome-history' skill enables users to query their Chrome browsing history using natural language, providing an intuitive interface to filter and search through their history. This skill solves the problem of manually sifting through large volumes of browsing data by allowing users to ask specific queries about their past activity, such as searching for articles, research papers, or site-specific content. It parses natural language queries to identify relevant filters like date ranges, keywords, and article types, and processes this information to extract precise results from the Chrome SQLite history database.

The skill supports various types of queries including date ranges like 'yesterday', 'last week', or custom time frames such as 'last month'. It allows users to filter results by content type, such as reading (news, blogs, essays), research (scientific articles, papers), or specific websites like Reddit or Medium. This flexibility enables highly tailored searches, focusing on particular types of content, keywords, or even specific domains. Additionally, the skill automatically clusters results by type, such as tools, events, or research, making it easier to digest the browsing history in an organized format.

This skill is ideal for individuals looking to track their research, reading habits, or browsing activity over time. Researchers, content consumers, or anyone looking to analyze their browsing history can leverage this tool to quickly find relevant pages, articles, and sites they visited in the past. It supports various use cases including academic research, technical exploration, or simply reviewing past content across specific platforms like Medium, Reddit, or GitHub.

FAQ

How do I use the chrome-history skill?

You can run the skill directly with a query, like `python3 ~/.claude/skills/chrome-history/chrome_history_query.py "articles I read yesterday"` or integrate it into Claude Code when a user asks about past content, such as "What scientific papers did I look at last week?".

What are the supported date ranges for filtering?

You can filter by specific date ranges like 'yesterday', 'today', 'last week', 'last month', and custom ranges like 'last 2 weeks'.

Can I filter by specific sites or domains?

Yes, you can filter by specific sites or domains such as Reddit, Medium, or Twitter, by including phrases like 'reddit threads' or 'on medium' in your query.

What types of content can I filter for?

The skill allows filtering by content type, including 'articles I read', 'scientific articles', or 'code/research'. It automatically clusters results into categories like reading, research, tools, and events.

Are there any exclusions in the results?

Yes, the skill filters out content from social media (Facebook, Instagram, Twitter, TikTok, Reddit, LinkedIn), email sites (Gmail, Outlook), shopping sites (Amazon, eBay), Google redirects, and utility sites (YouTube, FreeFeed).