rb-benchmarker
Randomized benchmarking skill for gate fidelity characterization
Profile →npx skills add a5c-ai/babysitter --skill rb-benchmarker --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.
# RB Benchmarker ## Purpose Provides expert guidance on randomized benchmarking protocols for characterizing quantum gate fidelities and hardware performance. ## Capabilities - Standard randomized benchmarking - Interleaved randomized benchmarking - Simultaneous RB for crosstalk - Character benchmarking - Cycle benchmarking - Fidelity decay fitting - SPAM error separation - Confidence interval estimation ## Usage Guidelines 1. **Protocol Selection**: Choose RB variant based on characterization goals 2. **Sequence Generation**: Create random Clifford sequences of varying lengths 3. **Execution**: Run benchmarking experiments with sufficient statistics 4. **Fitting**: Analyze decay curves to extract fidelity parameters 5. **Reporting**: Generate comprehensive benchmarking reports ## Tools/Libraries - Qiskit Experiments - Cirq - True-Q - PyGSTi - SciPy
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the rb-benchmarker skill do?
Randomized benchmarking skill for gate fidelity characterization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill rb-benchmarker --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.