cold-start

Sequence phased data imports from Markdown, contacts, calendar, and archives.

Updated May 16, 2026
One-click install
npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill cold-start-morris-utrust
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cold-start
Source: https://github.com/Morris-UTRUST/GBrain-knowledge/tree/main/skills/cold-start
Command: npx skills add https://github.com/Morris-UTRUST/GBrain-knowledge --skill cold-start-morris-utrust

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

An empty brain is a static database. Cold Start sequences the highest-leverage data sources to go from zero to useful in one session, enabling a usable brain quickly without exposing raw credentials.

Core Features & Use Cases

  • Phase-based data ingestion workflow that can import Markdown/Obsidian sources, contacts, calendar events, Gmail threads, chat exports, and social archives, while gating sensitive steps behind consent and a credential gateway.
  • Safety-first: uses ClawVisor to vault credentials, enforce scope, log actions, and require human approval for destructive operations.
  • Progressive bootstrap: tracks progress, creates pages for people, companies, meetings, and sources, and links entities across phases to build a connected knowledge base.
  • Use Case: A user completes setup and wants a live brain quickly; Phase-driven imports populate core data to enable inquiries like "who do I meet with most?"

Quick Start

Begin the cold-start workflow to bootstrap your brain from markdown sources through social archives.

Frequently Asked Questions about cold-start

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bootstrap a blank knowledge graph from zero to useful in one session?

Bootstrapping a blank knowledge graph requires sequencing high-leverage data imports to populate core data quickly. This workflow applies phased ingestion to Markdown/Obsidian sources, contacts, calendars, Gmail, and social archives, linking entities to create a connected base.

What is the best way to import Markdown and Obsidian sources into a new brain?

Importing Markdown and Obsidian sources is best handled through a phased data ingestion workflow. This process creates pages for people, companies, and meetings while propagating entity links and timelines across phases to build a connected knowledge base.

How does entity linking work when importing contacts and calendar events?

Entity linking during contacts and calendar imports works by propagating connections across ingestion phases. The workflow tracks progress, creates dedicated pages for people and meetings, and automatically links these entities to build a structured, searchable knowledge graph.

Can I import Gmail threads and X/Twitter archives without exposing raw credentials?

You can import Gmail threads and X/Twitter archives without exposing raw credentials by using a credential gateway. A safety module vaults credentials, enforces scope, logs actions, and requires human approval for destructive operations during ingestion.

What safety gates are enforced during phased data ingestion?

Safety gates during phased data ingestion enforce consent-driven steps by vaulting credentials, limiting scope, and logging actions. The workflow requires explicit human approval for destructive operations, ensuring sensitive data imports remain secure and controlled.

Does consent-driven data import work with chat exports and social archives?

Consent-driven data import works with chat exports and social archives by gating sensitive ingestion steps behind a credential gateway. This phased approach tracks progress and links entities across sources while maintaining strict safety and scope enforcement.