laborany
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
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.
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/quantumlabInspect 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.
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> → bash <SKILL_DIR>/scripts/gl <args>
ql <args> → bash <SKILL_DIR>/scripts/ql <args>
$HOME/work/quantum_lab (override with QUANTUM_LAB_ROOT).~/.venvs/qiskit (override with VENV_PATH).bash <SKILL_DIR>/scripts/qexec.sh pip install -r requirements.txt.These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Quantum Lab ## Overview Run quantum_lab repo commands inside the preexisting qiskit venv. Prefer the helper scripts in `scripts/` so the venv and repo root are always set. ## Command List (full) Use `<SKILL_DIR>` as the folder where this skill is installed (e.g., `~/clawd/skills/quantum-lab`). - `bash <SKILL_DIR>/scripts/qexec.sh python quant_math_lab.py` - `bash <SKILL_DIR>/scripts/qexec.sh python qcqi_pure_math_playground.py` - `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py` - `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py self-tests` - `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py playground` - `bash <SKILL_DIR>/scripts/qexec.sh python quantum_app.py notebook notebooks/SomeNotebook.ipynb` - `bash <SKILL_DIR>/scripts/qexec.sh python -m quantumapp.server --host 127.0.0.1 --port 8000` ## Command List (short) Use these for quick Telegram/OpenClaw commands. Both `gl` and `ql` are supported and equivalent. - `bash <SKILL_DIR>/scripts/gl self-tests` - `bash <SKILL_DIR>/scripts/gl playground` - `bash <SKILL_DIR>/scripts/gl app` - `bash <SKILL_DIR>/scripts/gl lab-tests` - `bash <SKILL_DIR>/scripts/gl playground-direct` - `bash <SKILL_DIR>/scripts/gl notebook notebooks/SomeNotebook.ipynb` - `bash <SKILL_DIR>/scripts/gl web 8000` ## Shorthand Handling If the user types `gl ...` or `ql ...` without a full path, always expand it to the full command: - `gl <args>` → `bash <SKILL_DIR>/scripts/gl <args>` - `ql <args>` → `bash <SKILL_DIR>/scripts/ql <args>` ## Notes - Repo root default: `$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`.
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
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