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Grok Bot+18 agentsInstall TensorFlow Quantum macOS
Automated source build and environment setup for TensorFlow Quantum on macOS (Apple Silicon/Intel).
Free
Install TensorFlow Quantum macOS
Example session with this skill installed
I need to get TensorFlow Quantum running on my M2 MacBook Pro but the pip install keeps failing with library errors. Can you set it up from scratch?
- Read your context and instructions
- Compiled the install tensorflow quantum
I'll start the TFQ source build. First, I've verified you have 84 GB free and 16 GB RAM.
I need you to run this to install the Xcode full app (this will take a while):
! sudo mas install 497799835
Once finished, I will configure the Bazel build and patch the dylib paths.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Installing TensorFlow Quantum (TFQ) on macOS is notoriously difficult due to complex C++ dependencies, specific Python 3.10 requirements, and a Bazel build process that often fails on Apple Silicon. Standard pip installs frequently break or result in library version conflicts that stall development for days.
What it does
- Performs comprehensive preflight hardware and software checks including disk space, RAM, and admin permissions.
- Automates the full toolchain setup: Homebrew, Xcode, Python 3.10, and Bazelisk.
- Clones, configures, and builds the TFQ source code into a localized, isolated virtual environment.
- Applies critical macOS-specific patches to TensorFlow dylibs and Bazel configuration files to prevent common build-time link errors.
- Generates and installs a platform-optimized
.whlfile specifically for your macOS version and architecture.
Frameworks & tools
TensorFlow Quantum, TensorFlow 2.19, Cirq, Bazel, Xcode, Homebrew, and Python 3.10.
Why this beats prompting it yourself
Standard LLMs often provide outdated build instructions that ignore recent Xcode SDK changes or the Keras 3 compatibility issues that break TFQ. This skill handles the specific TF_SHARED_LIBRARY_NAME and --macos_minimum_os flags required to ensure the resulting binary actually runs on modern macOS versions.
Use cases
- Setting up a fresh Mac for quantum machine learning research.
- Fixing a failed TFQ installation where
pip installor basic build scripts have crashed. - Standardizing a TFQ development environment across a team of researchers using Apple Silicon.
Known limitations
Requires approximately 50 GB of free disk space if Xcode is not already installed. The build process is resource-intensive and can take up to an hour on older Intel Macs.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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