circuit-optimizer
Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation
npx skills add a5c-ai/babysitter --skill circuit-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Circuit Optimizer ## Purpose Provides expert guidance on quantum circuit optimization techniques for reducing gate count, minimizing depth, and adapting circuits to hardware constraints. ## Capabilities - Circuit depth reduction algorithms - Gate cancellation and merging - Peephole optimization - Template matching optimization - Commutation analysis - Hardware topology-aware routing - Two-qubit gate minimization - Compilation pass orchestration ## Usage Guidelines 1. **Analysis**: Profile circuit for optimization opportunities (gate counts, depth, connectivity) 2. **Gate Reduction**: Apply cancellation and merging rules for equivalent gates 3. **Depth Optimization**: Parallelize independent operations where topology allows 4. **Hardware Mapping**: Route circuits to respect hardware connectivity constraints 5. **Verification**: Validate circuit equivalence after optimization ## Tools/Libraries - Qiskit transpiler - pytket (t|ket>) - PyZX - Cirq optimizers - BQSKit
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the circuit-optimizer skill do?
Quantum circuit optimization skill for gate reduction, depth minimization, and hardware-aware compilation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill circuit-optimizer --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 a5c-ai/babysitter, a repository with 1,642 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.