Route natural language math requests to deterministic command-line interface commands.
npx skills add https://github.com/scooter-lacroix/Maestro --skill math-router
Please help me install this Agent Skill. Skill: math-router Source: https://github.com/scooter-lacroix/Maestro/tree/main/maestro/skills/math/math-router Command: npx skills add https://github.com/scooter-lacroix/Maestro --skill math-router
This Skill acts as a deterministic router, translating natural language math requests into precise command-line instructions for specialized math tools. It eliminates the need to memorize or look up specific commands for various mathematical operations.
plot2d command is appropriate, and generates the exact execution string: uv run python scripts/plot.py plot2d "sin(x)" --lower 0 --upper "2*pi".Use the math-router skill to get the CLI command for integrating sin(x) from 0 to pi.
High-intent search queries and answers about installing and using this skill.
To convert natural language math requests into CLI commands, use intent mapping to translate phrases like "integrate" or "plot" into deterministic command-line instructions. This router parses user requests to extract necessary parameters for mathematical functions.
The best way to run SymPy operations from natural language input is using a deterministic router to map intents to specific command-line interface commands. It accurately maps user intents like integrate, differentiate, or solve to the correct underlying script and arguments.
Yes, the router supports unit conversions and equation solving by routing intents to specialized libraries. It handles a wide range of mathematical operations including integration, plotting, and unit conversions across libraries like Pint, Shapely, and Z3.
Yes, you need uv installed to execute routed math command-line instructions. The router generates exact execution strings utilizing uv to run Python scripts, such as generating `uv run python scripts/plot.py` for plotting tasks.
To plot a function like sin(x) using a natural language interface, the router identifies the plotting task, determines the plot2d command is appropriate, and generates the exact execution string with extracted lower and upper bounds.
A key limitation of using natural language intent recognition for math operations is that it requires precise argument extraction for accurate command generation. Ambiguous phrasing may result in incorrect mapping to the underlying script and arguments.
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GenproMMDispatch natural language intents to matching GSD commands via routing rules.
scooter-lacroixClassify propositional logic formulas and check satisfiability using Z3 and SymPy.