Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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 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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.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
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
If the user types gl ... or ql ... without a full path, always expand it to the full command: gl <args> โ bash <SKILL_DIR>/scripts/gl <args> ql <args> โ bash <SKILL_DIR>/scripts/ql <args>
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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