Career Transitions

by RefoundAI

Career Transitions is an AI Engineering skill for Claude Code, published by RefoundAI in lenny-skills.

1.3K stars161 forkson RefoundAI/lenny-skillsAdded 2026/08/20Repository updated 2026/07/16

View source on GitHub Download repo ZIP

ai-agentsai-assistantclaudeclaude-codelenny-rachitskyllmpm-toolsproduct-managementproduct-skillsskills

Install in seconds

Install Career Transitions

Copy Career Transitions into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/RefoundAI/lenny-skills/tree/main/skills/career-transitions ~/.claude/skills/career-transitions

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/RefoundAI/lenny-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/career-transitions/SKILL.md in RefoundAI/lenny-skills
Installs to: ~/.claude/skills/career-transitions
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Career Transitions does

Career Transitions helps users evaluate new opportunities, manage professional identity shifts, and transition into roles that maximize impact and personal fulfillment. Use it when considering a job change or planning a move to a new role or industry.

Career Transitions is cataloged under AI Engineering on DirSkills. Career Transitions comes from a repository tagged ai-agents, ai-assistant, claude, claude-code and lenny-rachitsky.

Documentation

README

Excerpt

Navigating Career Transitions

Move beyond the default path by optimizing for high-growth environments and internal energy.

Help the user with navigating career transitions using insights from 24 guests and posts across Lenny's Podcast and Newsletter.

How to Help

Audit current fit - Use data-driven frameworks to assess if your current environment supports your unique skill set.
Identify energy sources - Move away from logical checklists to find roles that generate internal excitement and heat.
Evaluate organizational quality - Look past titles to verify leadership commitment to growth and partner quality.
Plan the transition - Create intentional space between roles to shed old habits and prepare for new cultural norms.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Career Transitions

What else does RefoundAI publish alongside Career Transitions?
Career Transitions is one of 25 skills that DirSkills catalogs from RefoundAI/lenny-skills, the repository it ships in. Its siblings there include AI Evals, AI Product Strategy and AI-Assisted Prototyping. Each one is a separate skill with its own page in this directory, installs the same way Career Transitions does, and is maintained by RefoundAI in that same repository. The rest of the collection is listed on the RefoundAI/lenny-skills page.
How does Career Transitions compare to other AI Engineering skills?
Career Transitions ranks #1131 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Career Transitions against them. Open each page to compare what they document and how they install.