Backend Selector
SkillDev toolsMulti-backend comparison and selection skill for optimal hardware choice
Use Backend Selector in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Backend Selector and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Backend Selector skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/backend-selector/SKILL.md and read by Ahel’s review.
Purpose
Provides expert guidance on comparing and selecting quantum backends across multiple providers based on circuit requirements and performance criteria.
Capabilities
- Backend capability comparison
- Queue time estimation
- Cost optimization
- Fidelity-based ranking
- Connectivity analysis
- Job prioritization
- Provider API integration
- Historical performance tracking
Usage Guidelines
- Requirements Analysis: Determine circuit qubit and gate requirements
- Backend Query: Fetch available backends from all providers
- Filtering: Eliminate backends that cannot support circuit
- Ranking: Score backends by fidelity, queue time, and cost
- Selection: Choose optimal backend for execution
Tools/Libraries
- Qiskit
- Amazon Braket
- Cirq
- Azure Quantum SDK
- pytket
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
backend-selector- Source
- github.com/a5c-ai/babysitter