Route quantum inquiries to leaf Skills and load full Skill-chains before coding.
npx skills add https://github.com/unitarylab/quantum-skills --skill quantum-skills
Please help me install this Agent Skill. Skill: quantum-skills Source: https://github.com/unitarylab/quantum-skills/tree/main Command: npx skills add https://github.com/unitarylab/quantum-skills --skill quantum-skills
Route user requests to the correct leaf Skill (e.g., HHL, QAOA, or UnitaryLab simulators) and ensure a full Skill-chain is read before generating code or commands.
Ask a question about a quantum topic and have Quantum Skills route you to the appropriate leaf guide.
High-intent search queries and answers about installing and using this skill.
Routing quantum algorithm queries involves directing inquiries to specialized leaf skills like HHL or QAOA. The system evaluates the request and loads the appropriate domain-specific guide to provide accurate learning modules.
Ensuring full Skill-chain reading requires a full-read enforcement mechanism that processes the linked leaf skills before any code generation. This approach prevents duplication by verifying that all routing metadata and guides are loaded beforehand.
Yes, this routing system supports quantum simulator workflows by directing queries to appropriate simulator leaf skills. It centralizes metadata to enable discovery and efficient onboarding for simulation tasks within education and research environments.
Centralized metadata improves leaf-skills discovery by aggregating routing rules and discovery paths into a single repository. This structure allows researchers to efficiently locate and evaluate quantum algorithms, simulators, and learning modules without duplicating efforts.
Quantum skill requests fail to trigger the correct leaf guide when routing rules are not matched or the full Skill-chain is not read. The system enforces leaf-skills handoffs to prevent incomplete code generation and ensure proper metadata processing.
robinbarvaagBuild, optimize, and execute quantum circuits on simulators and IBM Quantum hardware.
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HahyeonJeonDelegate complex execution tasks to subagents with briefs and context.
robotlearning123Build and train quantum circuits with automatic differentiation and device-independent execution.
