skills.rest
m13vm13vCommunity·4 Agent Skills Included

ai-browser-profile

Extract personal data from browsers into searchable local database

Extracts identity, contacts, accounts, addresses, and payment details from local browser files into a self-ranking SQLite database. Reads autofill, logins, history, bookmarks, WhatsApp, LinkedIn, and Notion data without sending anything off your machine. Cleans up noisy entries, merges duplicates, and enables fast text or semantic search over your personal profile.
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npx skills add m13v/ai-browser-profile --all -g -y
Available:

Gives your AI agent the install commands, extraction workflow, cleanup pipeline, and project structure needed to run and maintain the browser profile database.

All Skills in This Repository (4)

Pure Emerald Level Indicators
📦 In Repo
m13vm13v

ai-browser-profile

Query locally stored browser profile data for identity, accounts, and contacts.

Community
Intermediate
📦 In Repo
m13vm13v

ai-browser-profile-setup

Configure ai-browser-profile to extract browser data from local files on macOS.

Community
Intermediate
📦 In Repo
m13vm13v

autofill-profiles

Convert Chromium Web Data autofill entries into structured profiles.

Community
Intermediate
📦 In Repo
m13vm13v

memory-review

Clean and consolidate unreviewed memories in a local database.

Community
Advanced

Frequently Asked Questions

FAQPage Schema
How to install ai-browser-profile?▼

Run `npx skills add m13v/ai-browser-profile --all -g -y` in your terminal to install all skills in this suite globally.

What data can ai-browser-profile extract?▼

It pulls autofill profiles, saved logins, browsing history, bookmarks, WhatsApp contacts, LinkedIn connections, and Notion workspace data from local browser files on macOS.

Does my browser data leave my computer?▼

No. Everything is extracted and stored in a local SQLite database at ~/ai-browser-profile/memories.db, and nothing is sent to external servers.

Which browsers are supported?▼

It works with Arc, Chrome, Brave, Edge, Safari, and Firefox on macOS, reading directly from each browser's local data files.

How do I clean up noisy extracted memories?▼

Run the rule-based clean.py script for fast cleanup, or use the memory-review skill for a thorough LLM-powered review that deletes junk, merges duplicates, and fixes miskeyed entries.

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