Agent skill
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Translate a hypothesis into an interpretable test with metrics and guardrails.
ClaudeCodexOpenClawData & Analytics
Dave AI
Calibration Analyzer
Hardware calibration data analysis skill for optimal qubit selection
instructions.md
--- name: calibration-analyzer-3b1c4dc9991f description: Hardware calibration data analysis skill for optimal qubit selection allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: hardware-integration phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:statistical-analysis, skill-area:sensor-fusion, skill-area:mathematical-reasoning] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:lab-technician] --- # Calibration Analyzer ## Purpose Provides expert guidance on analyzing quantum hardware calibration data to select optimal qubits and gate configurations for circuit execution. ## Capabilities - T1/T2 coherence analysis - Gate error rate parsing - Readout error analysis - Crosstalk characterization - Qubit quality ranking - Temporal calibration tracking - Error budget calculation - Calibration drift detection ## Usage Guidelines 1. **Data Retrieval**: Fetch latest calibration data from backend 2. **Metric Extraction**: Parse T1, T2, gate fidelities, and readout errors 3. **Quality Ranking**: Score qubits based on weighted metrics 4. **Selection**: Choose optimal qubits for circuit execution 5. **Monitoring**: Track calibration changes over time ## Tools/Libraries - Qiskit IBMQ Provider - Cirq-Google - Amazon Braket SDK - Pandas - Matplotlib--- name: calibration-analyzer-3b1c4dc9991f description: Hardware calibration data analysis skill for optimal qubit selection allowed-tools: - Bash - Read - Write - Edit - Glob - Grep metadata: specialization: quantum-computing domain: science category: hardware-integration phase: 6 graph: domains: [domain:quantum-computing] specializations: [specialization:quantum-computing] skillAreas: [skill-area:statistical-analysis, skill-area:sensor-fusion, skill-area:mathematical-reasoning] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:lab-technician] --- # Calibration Analyzer ## Purpose Provides expert guidance on analyzing quantum hardware calibration data to select optimal qubits and gate configurations for circuit execution. ## Capabilities - T1/T2 coherence analysis - Gate error rate parsing - Readout error analysis - Crosstalk characterization - Qubit quality ranking - Temporal calibration tracking - Error budget calculation - Calibration drift detection ## Usage Guidelines 1. **Data Retrieval**: Fetch latest calibration data from backend 2. **Metric Extraction**: Parse T1, T2, gate fidelities, and readout errors 3. **Quality Ranking**: Score qubits based on weighted metrics 4. **Selection**: Choose optimal qubits for circuit execution 5. **Monitoring**: Track calibration changes over time ## Tools/Libraries - Qiskit IBMQ Provider - Cirq-Google - Amazon Braket SDK - Pandas - Matplotlib
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.