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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.

bramdo0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install bramdo/quantumlab

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/bramdo/quantumlab
Version
—
Commit
7995755fb2d5f9ef36a68e2a93440b01086196f0
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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