Agent skill · Data & Analytics

calibration-analyzer

Hardware calibration data analysis skill for optimal qubit selection

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill calibration-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit-Glob-Grep
Path: library/specializations/domains/science/quantum-computing/skills/calibration-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Calibration Analyzer ## Purpose Provides expert guidance on analyzing quantum hardware calibration data to select optimal qubits and gate configurations for circuit execution. ## Capabilities - T1/T2 coherence analysis - Gate error rate parsing - Readout error analysis - Crosstalk characterization - Qubit quality ranking - Temporal calibration tracking - Error budget calculation - Calibration drift detection ## Usage Guidelines 1. **Data Retrieval**: Fetch latest calibration data from backend 2. **Metric Extraction**: Parse T1, T2, gate fidelities, and readout errors 3. **Quality Ranking**: Score qubits based on weighted metrics 4. **Selection**: Choose optimal qubits for circuit execution 5. **Monitoring**: Track calibration changes over time ## Tools/Libraries - Qiskit IBMQ Provider - Cirq-Google - Amazon Braket SDK - Pandas - Matplotlib

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Tools/Libraries
More from babysitter
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About this skill
What does the calibration-analyzer skill do?

Hardware calibration data analysis skill for optimal qubit selection

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill calibration-analyzer --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.

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