Browsing History

Browsing History Skill

Query browsing history from **all synced Chrome devices** (iPhone, iPad, Mac, desktop) with natural language.

How It Differs from chrome-history

Feature	chrome-history	browsing-history
Data source	Local Chrome SQLite	Synced database (~/data/browsing.db)
Devices	Desktop only	All synced devices (iPhone, iPad, Mac, etc.)
Timestamps	Chrome visit time	Actual visit time with fallback
Categorization	Domain-based clusters	LLM-powered classification
Output formats	Markdown only	Markdown + JSON
Save to file	No	Yes

Prerequisites

1. Initialize Database

python3 ~/.claude/skills/browsing-history/scripts/init_db.py

2. Sync Chrome History

For local desktop history:

python3 ~/.claude/skills/browsing-history/scripts/sync_chrome_history.py

For synced devices (iPhone, iPad, etc.), you need a separate sync process that:

1. Parses Chrome Sync LevelDB data
2. Extracts URLs with device info and timestamps
3. Inserts into ~/data/browsing.db

See [AnyBrowserHistory](https://github.com/nickolay/nickolay.github.io/tree/master/AnyBrowserHistory) for Chrome Sync parsing reference.

3. (Optional) LLM Categorization

Install llm CLI for smart categorization:

pip install llm llm-anthropic
llm keys set anthropic  # Enter your API key

Usage

Basic Queries

# Yesterday's history
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday"

# Last week from iPhone
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" --device iPhone

# Search for AI articles
python3 ~/.claude/skills/browsing-history/browsing_query.py "AI" --days 7

Grouping

# Group by domain
python3 ~/.claude/skills/browsing-history/browsing_query.py "today" --group-by domain

# Group by LLM-classified category

...