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High-performance numerical and quantum compute skill for scientific workloads; use when working on numeric algorithms, simulation, or acceleration.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Algorithm design and analysis skill for DSH; use when working on optimization, data structures, or computational procedures.
Cognitive systems skill for reasoning, memory, and agent behavior; use when designing agent workflows or mental-model tooling.
Fractal geometry and self-similarity skill; use when working on recursive geometric or visual systems.
Frequency-domain and signal-processing skill; use when working on Fourier, spectral, or resonance analysis.
Financial advisor for GreenEnergyFL — tracks job finances, bills, vendor payments, cash flow, and overdue invoices. Use this skill whenever the user asks about money, payments, invoices, bills, job costs, what's owed, what's coming in, cash flow, overdue accounts, financial summaries, or anything related to GreenEnergyFL's finances. Trigger even if the user just says "check the bills", "what do we owe", "who hasn't paid", "how are we doing financially", or "show me the jobs".
General mathematical methods skill for symbolic and numerical work; use when solving equations or deriving relationships.
| name | compute |
| description | High-performance numerical and quantum compute skill for scientific workloads; use when working on numeric algorithms, simulation, or acceleration. |
Domain: build | Depth: axiom
| Path | Role |
|---|---|
agents/core/stream.py | MLX + Ollama streaming |
agents/core/memory/vector.py | ONNX Runtime → CoreML EP (Neural Engine) for embeddings |
scripts/mlx-neural-bridge.sh | Trinity MLX HTTP helper (mirror nexus-core/mlx-neural-bridge.py) |
| Library | Purpose |
|---|---|
| numpy | Vectorized array compute |
| scipy | Scientific algorithms |
| numba | JIT compilation — CPU/GPU |
| torch | GPU compute via MPS |
| qiskit | Quantum circuit simulation |
| pennylane | Quantum ML and variational circuits |
| cirq | Google quantum framework |
agents/skills/compute.py
jit_compute(fn, *args) — JIT-compile and run a functionoptimize(fn, x0) — numerical optimizationfft(signal) — fast Fourier transformquantum_circuit(gates) — build and simulate a quantum circuitgpu_tensor(data) — move tensor to MPS (Apple GPU)