Career Kit for Gemini CLI
io.github.w7uuuuz/career-kit
AI career coach: real job-market gap analysis, staged roadmap, check-in tasks, application funnel.
client:Gemini CLI
transport:stdio
runtime:pypi
Install Career Kit in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"career-kit": {
"command": "uvx",
"args": [
"career-kit"
],
"env": {
"CAREER_KIT_DATA_DIR": "<CAREER_KIT_DATA_DIR>",
"CAREER_KIT_ASSETS_DIR": "<CAREER_KIT_ASSETS_DIR>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs