resource-estimator
Quantum resource estimation skill for algorithm feasibility analysis
Best use case
resource-estimator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Quantum resource estimation skill for algorithm feasibility analysis
Teams using resource-estimator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/resource-estimator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How resource-estimator Compares
| Feature / Agent | resource-estimator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Quantum resource estimation skill for algorithm feasibility analysis
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Resource Estimator ## Purpose Provides expert guidance on estimating quantum resources required for algorithm execution, enabling feasibility analysis and hardware roadmap comparison. ## Capabilities - Qubit count estimation - Circuit depth analysis - T-gate counting - Error correction overhead - Runtime projection - Hardware roadmap comparison - Logical-to-physical overhead - Space-time volume calculation ## Usage Guidelines 1. **Algorithm Analysis**: Decompose algorithm into quantum operations 2. **Gate Counting**: Count gates by type (Clifford, T, etc.) 3. **Overhead Calculation**: Apply error correction overhead factors 4. **Timeline Projection**: Estimate execution time on target hardware 5. **Feasibility Assessment**: Compare with hardware capability roadmaps ## Tools/Libraries - Azure Quantum Resource Estimator - Qiskit - Q# - Custom estimation tools - Spreadsheet models
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