OpenClaw

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 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install bramdo/quantum-lab

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/bramdo/quantum-lab
Version: —
Commit: 7995755fb2d5f9ef36a68e2a93440b01086196f0
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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`.

搜索