quantum-lab

Run the /home/bram/work/quantum_lab Python scripts and demos inside the existing venv ~/.venvs/qiskit. Use when asked (e.g., via Telegram/OpenClaw) to run quant_math_lab.py, qcqi_pure_math_playground.py, quantum_app.py subcommands, quantumapp.server, or notebooks under the repo.

7 stars

byDemerzels-lab

View on GitHub Installation ↓

Best use case

quantum-lab is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using quantum-lab 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

$curl -o ~/.claude/skills/quantumlab/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/bramdo/quantumlab/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/quantumlab/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How quantum-lab Compares

Feature / Agent	quantum-lab	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?

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

# Quantum Lab

## Overview
Run quantum_lab repo commands inside the preexisting qiskit venv. Prefer the helper scripts in `scripts/` so the venv and repo root are always set.

## Command List (full)
Use `<SKILL_DIR>` as the folder where this skill is installed (e.g., `~/clawd/skills/quantum-lab`).

- `bash <SKILL_DIR>/scripts/qexec.sh python quant_math_lab.py`
- `bash <SKILL_DIR>/scripts/qexec.sh python qcqi_pure_math_playground.py`
- `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py`
- `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py self-tests`
- `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py playground`
- `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py notebook notebooks/SomeNotebook.ipynb`
- `bash <SKILL_DIR>/scripts/qexec.sh python -m quantumapp.server --host 127.0.0.1 --port 8000`

## Command List (short)
Use these for quick Telegram/OpenClaw commands. Both `gl` and `ql` are supported and equivalent.

- `bash <SKILL_DIR>/scripts/gl self-tests`
- `bash <SKILL_DIR>/scripts/gl playground`
- `bash <SKILL_DIR>/scripts/gl app`
- `bash <SKILL_DIR>/scripts/gl lab-tests`
- `bash <SKILL_DIR>/scripts/gl playground-direct`
- `bash <SKILL_DIR>/scripts/gl notebook notebooks/SomeNotebook.ipynb`
- `bash <SKILL_DIR>/scripts/gl web 8000`

## Shorthand Handling
If the user types `gl ...` or `ql ...` without a full path, always expand it to the full command:
- `gl <args>` → `bash <SKILL_DIR>/scripts/gl <args>`
- `ql <args>` → `bash <SKILL_DIR>/scripts/ql <args>`

## Notes
- Repo root default: `$HOME/work/quantum_lab` (override with `QUANTUM_LAB_ROOT`).
- Venv default: `~/.venvs/qiskit` (override with `VENV_PATH`).
- If dependencies are missing: `bash <SKILL_DIR>/scripts/qexec.sh pip install -r requirements.txt`.

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