Query Chrome browsing history with natural language. Filter by date range, article type, keywords, and specific sites.
npx skills add https://github.com/glebis/claude-skills --skill chrome-history
Search and filter your Chrome browsing history using natural language queries.
"articles I read yesterday"
"articles about AI I read yesterday"
"scientific articles for the last week"
"research about machine learning this week"
"reddit threads last month"
"code repos I visited yesterday"
"on medium this week"
Run directly with a query:
python3 ~/.claude/skills/chrome-history/chrome_history_query.py "articles I read yesterday"
Or integrate into Claude Code when user asks:
~/Library/Application Support/Google/Chrome/Default/History/Users/glebkalinin/Brains/brainAutomatically filters out:
Results grouped by content type with timestamps:
## Chrome History: articles about AI yesterday
*Found 5 items*
### Reading (3)
- 14:22 [The more that people use AI...](url)
- 16:38 [AI makes you smarter but...](url)
### Research (2)
- 11:23 [GitHub: AI project](url)
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Take glebis/chrome-history from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.