qec-code-builder
Quantum error correction code implementation skill for fault-tolerant quantum computing
Profile →npx skills add a5c-ai/babysitter --skill qec-code-builder --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.
# QEC Code Builder ## Purpose Provides expert guidance on quantum error correction code implementation, enabling fault-tolerant quantum computing through encoding, syndrome extraction, and logical operations. ## Capabilities - Surface code implementation - Steane code [[7,1,3]] construction - Color code implementation - Repetition code for testing - Syndrome extraction circuits - Logical gate implementations - Code distance optimization - Threshold analysis ## Usage Guidelines 1. **Code Selection**: Choose QEC code based on error model and resource constraints 2. **Encoding Design**: Implement logical qubit encoding circuits 3. **Syndrome Extraction**: Design efficient syndrome measurement schedules 4. **Decoder Integration**: Connect to appropriate decoding algorithms 5. **Logical Operations**: Implement fault-tolerant logical gates ## Tools/Libraries - Stim - PyMatching - QLDPC - Qiskit - Cirq
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the qec-code-builder skill do?
Quantum error correction code implementation skill for fault-tolerant quantum computing
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill qec-code-builder --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.