career-sim

Career Sim — Divergent Career Path Simulator

Part of the Clawsight Career Intelligence Chain.

What It Does

Career Sim generates 3-5 genuinely divergent career trajectories based on your profile data, verified advantages, and AI disruption positioning. Instead of asking "what should I do next?", it asks "what are my realistic options, and what does each path cost?"

The Career Intelligence Chain

🪞 career-mirror → 🌈 tech-spectrum → 🔮 career-sim → 🧭 tech-compass
   (who am I?)      (where do I       (what paths     (action plan for
                      stand?)           are open?)      chosen path)

Career Sim sits between positioning (tech-spectrum) and planning (tech-compass). It transforms analysis into concrete, comparable options.

Quick Start

# Best: Run the full chain
/career-mirror
/tech-spectrum
/career-sim          # ← You are here
/tech-compass        # Run after choosing a path

# Also works standalone
/career-sim          # Lite Mode with interactive Q&A

What You Get

1. Divergent Path Generation

• 3-5 career trajectories, each a fundamentally different strategic direction
• 3-year projections with yearly milestones
• Each path grounded in your verified skills and compound advantages

2. Comparison Matrix

• Side-by-side comparison across 8 dimensions
• Income trajectory, AI-proof score, skill leverage, reversibility, and more

3. Trade-off Analysis

• Explicit gain/loss for each pair of paths
• Points of no return — when choices become irreversible

4. Decision Framework

• Recommendations by priority (stability, growth, AI-readiness)
• Hedge strategies — start one path while keeping another as fallback

Operating Modes

Mode	When	Experience
Enhanced	Profile + career-mirror + tech-spectrum outputs	Full simulation with cross-validated data
Rich	Clawsight profile only	Profile-driven paths, less upstream context
Lite	No profile data	Interactive Q&A — still generates useful paths

What Flows Downstream

Career Sim passes your chosen path (or top recommendation) to tech-compass via structured data. Tech-compass then builds a concrete action plan calibrated to that specific trajectory.

Example Paths

For a senior payment systems engineer with Go expertise and leadership signals:

• 🏗️ The Infrastructure Architect: Double down on distributed systems → AI infrastructure lead
• 🚀 The Platform Builder: Leverage domain expertise → build AI-powered payment platform
• 🔄 The Domain Crossover: Apply systems thinking to adjacent field (fintech AI, developer tools)
• 👥 The Engineering Leader: Follow the leadership signals → VP Engineering path
• 🌊 The AI-Native Pioneer: Full pivot to AI/ML engineering leveraging systems background

Links

• SKILL.md — Full skill specification
• Scene Skills Protocol — How skills interact
• Changelog — Version history