qiskit

8.7

123

351

Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with quantum algorithms, simulations, or quantum hardware including (1) Building quantum circuits with gates and measurements, (2) Running quantum algorithms (VQE, QAOA, Grover), (3) Transpiling/optimizing circuits for hardware, (4) Executing on IBM Quantum or other providers, (5) Quantum chemistry and materials science, (6) Quantum machine learning, (7) Visualizing circuits and results, or (8) Any quantum computing development task.

quantum

8.7

Rating

Installs

Tools & Utilities

Quick Review

Exceptional quantum computing skill with comprehensive coverage of Qiskit framework. The description clearly enumerates 8 use cases making invocation criteria obvious. Structure is exemplary: SKILL.md provides concise overview with decision guide while deferring detailed implementations to 8 well-organized reference files. Task knowledge is thorough, covering circuit building, primitives, transpilation, backends, algorithms, and complete workflow patterns with executable code. Novelty is high—quantum computing requires specialized domain knowledge (gate operations, transpilation stages, hardware constraints) that would consume excessive tokens for a CLI agent to derive independently. Minor improvement possible: description could slightly expand on when NOT to use this skill vs. general Python libraries. Overall, this is a model skill implementation that balances accessibility with technical depth.