Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
Multi-backend comparison and selection skill for optimal hardware choice
--- name: backend-selector-636f9f785070 description: Multi-backend comparison and selection skill for optimal hardware choice 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:mathematical-reasoning, skill-area:physics-simulation, skill-area:statistical-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:computational-scientist] --- # Backend Selector ## Purpose Provides expert guidance on comparing and selecting quantum backends across multiple providers based on circuit requirements and performance criteria. ## Capabilities - Backend capability comparison - Queue time estimation - Cost optimization - Fidelity-based ranking - Connectivity analysis - Job prioritization - Provider API integration - Historical performance tracking ## Usage Guidelines 1. **Requirements Analysis**: Determine circuit qubit and gate requirements 2. **Backend Query**: Fetch available backends from all providers 3. **Filtering**: Eliminate backends that cannot support circuit 4. **Ranking**: Score backends by fidelity, queue time, and cost 5. **Selection**: Choose optimal backend for execution ## Tools/Libraries - Qiskit - Amazon Braket - Cirq - Azure Quantum SDK - pytket--- name: backend-selector-636f9f785070 description: Multi-backend comparison and selection skill for optimal hardware choice 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:mathematical-reasoning, skill-area:physics-simulation, skill-area:statistical-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:computational-scientist] --- # Backend Selector ## Purpose Provides expert guidance on comparing and selecting quantum backends across multiple providers based on circuit requirements and performance criteria. ## Capabilities - Backend capability comparison - Queue time estimation - Cost optimization - Fidelity-based ranking - Connectivity analysis - Job prioritization - Provider API integration - Historical performance tracking ## Usage Guidelines 1. **Requirements Analysis**: Determine circuit qubit and gate requirements 2. **Backend Query**: Fetch available backends from all providers 3. **Filtering**: Eliminate backends that cannot support circuit 4. **Ranking**: Score backends by fidelity, queue time, and cost 5. **Selection**: Choose optimal backend for execution ## Tools/Libraries - Qiskit - Amazon Braket - Cirq - Azure Quantum SDK - pytket
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.