Can I use this to sync my AI preferences between computers?

Yes, by using the built-in Git workflow, you can commit your Think-Like profiles to a repository and restore them on any machine using this setup skill.

What is the Think-Like plugin?

Think-Like is a composable knowledge system for Claude Code that allows the AI to adopt specific expert personas and architectural philosophies like OOP or 'Convention over Configuration'.

Do I need to run anything before setup-tl?

Yes, you must run the /things:setup-things command first to initialize the core .things directory and registry on your system.

Where are the Think-Like configuration files stored?

All profiles, templates, and settings are stored locally in the .things/think-like/ directory within your user home folder.

What expert profiles are included in the starter set?

The starter pack includes DHH (Rails creator), Sandi Metz (OOP expert), and a Strict Security Lead for paranoid-but-practical security auditing.

Think-Like Expert Persona Setup

Name: Think-Like Expert Persona Setup
Author: brennacodes

bybrennacodes

0•

Productivity & Workflow

Initializes the Think-Like ecosystem to enable expert-driven coding personas and portable knowledge structures within Claude Code.

The setup-tl skill automates the configuration of the Think-Like plugin, a system designed to inject domain-specific expertise and architectural philosophies into Claude's coding workflow. It establishes a standardized directory structure within the .things directory, registers profile collections, and installs starter personas based on industry experts like DHH and Sandi Metz. This skill is essential for developers who want to build a composable, portable knowledge base that allows Claude to emulate specific technical voices and best practices during code reviews, architecture planning, and security audits.

Key Features

010 GitHub stars

02Environment tracking with optional Git-backed workflow integration

03Registry integration with the .things portable knowledge system

04Installation of starter expert profiles including DHH and Sandi Metz

05Deployment of shared context templates for consistent AI prompting

06Automated directory structure creation for profiles and sessions

Use Cases

01Restoring a portable knowledge environment across multiple development machines

02Quickly bootstrapping architectural and security-focused thinking models

03First-time initialization of a personalized expert persona system

Key Features

010 GitHub stars

02Environment tracking with optional Git-backed workflow integration

03Registry integration with the .things portable knowledge system

04Installation of starter expert profiles including DHH and Sandi Metz

05Deployment of shared context templates for consistent AI prompting

06Automated directory structure creation for profiles and sessions

Use Cases

01Restoring a portable knowledge environment across multiple development machines

02Quickly bootstrapping architectural and security-focused thinking models

03First-time initialization of a personalized expert persona system