oqc-mvp

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Implement the OQC Digital-Twin Control Co-design MVP in this repo. Use ONLY when working on deliverables defined in docs/PROJECT_SPEC.md (digital twin, control sweeps, HDL feedforward, drift automation). Do NOT use for unrelated refactors.

KumaHoon By KumaHoon schedule Updated 2/22/2026

name: oqc-mvp description: Implement the OQC Digital-Twin Control Co-design MVP in this repo. Use ONLY when working on deliverables defined in docs/PROJECT_SPEC.md (digital twin, control sweeps, HDL feedforward, drift automation). Do NOT use for unrelated refactors.

When to use

Use this skill when the task is explicitly part of docs/PROJECT_SPEC.md.

Operating rules (must follow)

  1. Always read docs/PROJECT_SPEC.md first and follow its DoD.
  2. Prefer small, verifiable commits.
  3. Do not add heavy dependencies unless required for a deliverable.
  4. After multi-file changes, run (or request permission if needed):
    • make test (or pytest)
    • make lint
  5. Every deliverable must have a reproducible command under scripts/ or Makefile.
  6. Never claim a feature is done without producing its artifact under assets/ or hdl/ and updating docs/EVIDENCE_PACK.md.

Standard workflow

  1. Explore: locate the best integration points in src/ (avoid duplication).
  2. Implement: add minimal code to satisfy a single deliverable.
  3. Verify: run required commands and confirm artifacts exist.
  4. Document: update docs/EVIDENCE_PACK.md with reproduction steps.

Required commands checklist

  • Python: make test, make lint, python scripts/generate_control_sweeps.py
  • HDL: make -C hdl sim
Install via CLI
npx skills add https://github.com/KumaHoon/Quantum-Optical-Bus-Simulation --skill oqc-mvp
Repository Details
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article Path SKILL.md
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