Turns your Chrome history into a queryable database using natural language. Ask for "articles I read yesterday" or "research about AI last week" and it pulls from Chrome's SQLite database, filters out social media and email noise, then groups results by content type (reading, research, tools). The date parsing is solid, supporting ranges like "last 2 weeks" or "yesterday", and it can filter by keywords or specific sites like Medium or Reddit. Honestly most useful when you remember reading something recently but can't recall where. The auto-clustering by domain type is a nice touch that makes the output actually scannable instead of a chronological dump.
npx -y skills add glebis/claude-skills --skill chrome-history --agent claude-codeInstalls into .claude/skills of the current project.
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)
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills