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.
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.
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.pybash <SKILL_DIR>/scripts/qexec.sh python qcqi_pure_math_playground.pybash <SKILL_DIR>/scripts/qexec.sh python quantum_app.pybash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py self-testsbash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py playgroundbash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py notebook notebooks/SomeNotebook.ipynbbash <SKILL_DIR>/scripts/qexec.sh python -m quantumapp.server --host 127.0.0.1 --port 8000Use these for quick Telegram/OpenClaw commands. Both gl and ql are supported and equivalent.
bash <SKILL_DIR>/scripts/gl self-testsbash <SKILL_DIR>/scripts/gl playgroundbash <SKILL_DIR>/scripts/gl appbash <SKILL_DIR>/scripts/gl lab-testsbash <SKILL_DIR>/scripts/gl playground-directbash <SKILL_DIR>/scripts/gl notebook notebooks/SomeNotebook.ipynbbash <SKILL_DIR>/scripts/gl web 8000If 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>$HOME/work/quantum_lab (override with QUANTUM_LAB_ROOT).~/.venvs/qiskit (override with VENV_PATH).bash <SKILL_DIR>/scripts/qexec.sh pip install -r requirements.txt.