Career Sprint Agent

Personal career management system with MCP (Model Context Protocol) integration.

Features

Phase 1: Library Monitoring

• Track Python libraries for updates via PyPI API
• Detect breaking changes vs minor updates
• Learning integration (concepts by skill level)
• Local storage with JSON

Future Phases

• Reading tracker (articles, papers, tutorials)
• Time tracking (projects vs work)
• Project tracker
• Full career dashboard
• MCP tools integration

Installation

pip install -e ".[dev]"

Usage

# Check all libraries for updates
career-agent check-updates

# View current status
career-agent status

# View outdated libraries
career-agent outdated

# View learning opportunities
career-agent learn

# List monitored libraries
career-agent libraries

# View recent changes
career-agent changes --days 7

# Mark a library as updated
career-agent mark-updated torch

Configuration

Edit src/career_agent/config.py to modify monitored libraries.

MCP Integration (Coming Soon)

This agent will be deployable as an MCP server with tools:

• get_library_status - Get status of all monitored libraries
• check_for_updates - Check for new library versions
• get_recent_changes - Get changes detected in last N days