
Chrome History
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.
- skills.sh installs
- 233
- GitHub stars
- 412
- last updated
- Aug 21, 2026
Install
$ npx -y skills add glebis/claude-skills --skill chrome-history --agent claude-codeInstalls into .claude/skills of the current project.
Files
Chrome History Query Skill
Search and filter your Chrome browsing history using natural language queries.
What It Does
- Parses natural language queries to understand date ranges and filters
- Queries Chrome's SQLite history database
- Filters out noise (social media, email, redirects)
- Groups results by type (reading, research, tools, events)
- Returns formatted markdown with links
Supported Queries
Date Range
- "yesterday" → previous day only
- "today" → today only
- "last week" → past 7 days
- "last month" → past 30 days
- "last 2 weeks" → past 14 days
Content Filters
- "articles I read" → reading cluster (news, blogs, essays)
- "scientific articles" → research cluster (papers, docs)
- "code/research" → GitHub, Stack Overflow, docs
Keyword Filtering
- "articles about AI" → finds pages mentioning AI
- "scientific articles about climate" → finds research pages mentioning climate
Site-Specific
- "reddit threads" → reddit.com only
- "on medium" → medium.com only
- "twitter posts" → twitter.com only
Example Queries
Sponsors
Details
- Repository
- github.com/glebis/claude-skills
- First seen
- Jun 3, 2026
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