Pre-computed LLM context for AI coding agents.
Project description
squick (Python)
Pre-computed, LLM-targeted code context for AI coding agents.
This PyPI package ships the right platform-specific binary inside the
wheel and exposes it both as a squick console script and a small
Python API. Installation is platform-aware: pip picks the wheel for
your OS and architecture automatically.
Install
pip install squick
Use from the shell
squick scan ./your-project # one-shot scan
squick watch ./your-project # re-scan on file save
squick mcp # start an MCP server on stdio
python -m squick scan . # equivalent to the above
Use from Python
import squick
# Run a scan and return the generated context.md as a string.
context = squick.scan("./your-project")
print(context)
# Locate the bundled binary, e.g. to spawn the MCP server manually.
print(squick.binary_path())
Supported platforms
| OS | Architecture | Wheel tag |
|---|---|---|
| Linux | x86_64 | manylinux2014_x86_64 |
| Linux | aarch64 | manylinux2014_aarch64 |
| macOS | x86_64 | macosx_10_12_x86_64 |
| macOS | arm64 | macosx_11_0_arm64 |
| Windows | x86_64 | win_amd64 |
See the main project README for full documentation, dictionary format, and MCP client configuration.
License
Apache-2.0. Copyright 2026 Horizon LLC. "Squick" is a trademark of Horizon LLC.
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