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qm-schrodinger-picture

Domain: qm · Model class: strong

Use this skill when you need to predict how a codebase will evolve in the future based on its historical embedding trajectory. Trigger phrases include: “predict future code state”, “Schrödinger evolution of codebase”, “extrapolate code trajectory”, “what will the codebase look like in N steps”, “time evolution of code embedding”, “forecast architectural drift”. This skill applies a linear evolution operator estimated from snapshots to predict future states. Do NOT use when historical snapshots are fewer than 2 or the evolution is highly nonlinear.

Track how a codebase’s embedding vector evolves across historical snapshots and predict future states by applying a linear evolution operator estimated from the most recent pair of snapshots. This mirrors the Schrödinger picture in quantum mechanics, where the state vector |ψ(t)⟩ carries all time dependence while operators remain fixed. The trajectory drift (L2 distance between consecutive states) quantifies how fast the codebase is changing.

  • “qm-schrodinger-picture”

None defined.

  1. Apply the qm-schrodinger-picture skill to the user request.
  • physics metaphor output
  • plain-language engineering translation
  • confidence and limitation notes
  • recommended engineering action

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