Agens qiskit
skill_id: qiskit
install
source · Clone the upstream repo
git clone https://github.com/Gyoungwe/agens
manifest:
skills/qiskit/skill.yamlsource content
skill_id: qiskit name: qiskit description: IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip. version: 1.0.0 author: K-Dense Inc. license: Apache-2.0 license tags:
- scientific-agent-skills
- qiskit tools: [] permissions: network: false filesystem: false shell: false agents:
- executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: qiskit upstream_path: scientific-skills/qiskit/SKILL.md upstream_frontmatter: name: qiskit description: IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip. license: Apache-2.0 license metadata: skill-author: K-Dense Inc.