Agent skill

cirq

Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill cirq-sickn33-antigravity-awesome --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-ml/cirq-sickn33-antigravity-awesome/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Cirq - Quantum Computing with Python Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators. ## When to Use - You are designing, simulating, or executing quantum circuits with the Cirq ecosystem. - You need Google Quantum AI-style primitives, parameterized circuits, or integrations like `cirq-google` and `cirq-ionq`. - You are prototyping or teaching quantum workflows in Python and want concrete circuit examples. ## Installation ```bash uv pip install cirq ``` For hardware integration: ```bash # Google Quantum Engine uv pip install cirq-google # IonQ uv pip install cirq-ionq # AQT (Alpine Quantum Technologies) uv pip install cirq-aqt # Pasqal uv pip install cirq-pasqal # Azure Quantum uv pip install azure-quantum cirq ``` ## Quick Start ### Basic Circuit ```python import cirq import numpy as np # Create qubits q0, q1 = cirq.LineQubit.range(2) # Build circuit circuit = cirq.Circuit( cirq.H(q0), # Hadamard on q0 cirq.CNOT(q0, q1), # CNOT with q0 control, q1 target cirq.measure(q0, q1, key='result') ) print(circuit) # Simulate simulator = cirq.Simulator() result = simulator.run(circuit, repetition

What's inside
Steps it walks through
  1. When to Use
  2. Installation
  3. Quick Start
  4. Basic Circuit
  5. Parameterized Circuit
  6. Core Capabilities
  7. Circuit Building
  8. Simulation
  9. Circuit Transformation
  10. Hardware Integration
  11. Noise Modeling
  12. Quantum Experiments
  13. Common Patterns
  14. Variational Algorithm Template
Ships with 1 file
  • metadata.json
Commands it runs
uv pip install cirq
Google Quantum Engine
uv pip install cirq-google
IonQ
uv pip install cirq-ionq
AQT (Alpine Quantum Technologies)
uv pip install cirq-aqt
Pasqal
uv pip install cirq-pasqal
Azure Quantum
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About this skill
What does the cirq skill do?

Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill cirq-sickn33-antigravity-awesome --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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