部署与运维

amazon-braket

aws/agent-toolk…-for-aws

Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.

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安装命令

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill amazon-braket

SKILL.md

Amazon Braket

Primitives

The vocabulary of a Braket workflow, and which reference to open for each.

Primitive What it is Related References Open it when the request involves
Device A simulator or QPU, identified by a region-scoped ARN devices.md anything about a device: what exists, discovering or filtering the fleet, availability and status (online, offline, retired), which region a device lives in, ARNs, choosing a device for a workload, qubit count, connectivity or topology, native gates, fidelities, calibration data, queue depth, shot and gate limits, paradigm (gate-model vs analog Hamiltonian simulation), whether a device supports program sets, pulse-level control, simulators and local emulators
Program The workload/input — one executable (Circuit, AHS, OpenQASM). Which type is legal depends on the device's paradigm - -
Quantum task One program + shots, run once (the atomic unit Braket meters) - -
Task batch Many independent tasks — SDK-only fallback for when a program set does not fit; works on all devices program-sets.md see the Program set row; also running multiple programs
Program set Many programs in one service-side task — preferred way to run multiple programs instead of task batch program-sets.md running more than one program: parameter sweeps, scanning parameter values, task batches, run_batch, several circuits submitted together, attaching observables across programs, and minimizing per-task fees when many programs run, program sets. Also getting started with program sets
Hybrid job Managed classical-quantum loop that orchestrates many tasks hybrid-job.md hybrid jobs: @hybrid_job, algorithm scripts and source modules, entry_point, embedded simulators, BYOC and custom container images, CUDA-Q, job execution roles, hyperparameters, checkpoints, and retrieving job results
Spending limit Service-side hard cap that rejects QPU tasks — the only true enforcement (not SDK) spending-limit.md capping or enforcing spend: spending limits (create, update, delete, search), and cost guardrails
Cost tracking In-session cost estimate (not enforcement) spending-limit.md in-session cost tracking with Tracker

Each reference carries the domain detail for its own area — field paths, key names, API shapes, and billing models.