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xby-math

Model Inference Updated 2026.09.02

Run the following command in DeepSeek Harness:

dsh plugin install xby-skill/xby-math

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install xby-skill/xby-math in the DeepSeek Harness terminal to install; the source is available at https://github.com/xby-skill/xby-math .

About this plugin

When a chat with an LLM calls for expression evaluation, matrix inversion, or solving for an IRR, guessing is slow and error-prone. xby-math pulls those computations directly into the DSH chat, giving instant precise results without switching to a calculator or a Notebook.

The plugin covers a full mathematical toolchain: SymPy-powered symbolic and numeric expression evaluation (variables, trigonometry, logarithms); Polars-based array operations, multi-axis statistics, pivot tables, outlier detection, and Pearson / Spearman correlation matrices; NumPy BLAS matrix arithmetic plus five decompositions (eigen, SVD, QR, Cholesky, LU); SciPy linear-system solvers including overdetermined least-squares; higher-order and partial symbolic differentiation; and a complete finance module for time-value-of-money, compound interest (discrete and continuous), and perpetuities.

Data analysts can build pivot tables and normalize arrays on the fly; finance professionals can invert IRR or discount a growing annuity in one call; STEM students can verify matrix decompositions and solve linear systems; ML engineers can slot L2 normalization, Z-scoring, and log transforms into their pipelines. If you need precise numeric results the moment you ask, without leaving the chat window, xby-math has you covered.

Use Cases

  • Solving expressions, matrix operations, and linear systems in chat
  • Inverting interest rates, discounting growing annuities, and valuing perpetuities
  • Handling normalization, pivot tables, and correlation on the fly

Best For

  • Analysts who need precise numeric results instantly in chat
  • Finance professionals and students
  • STEM and data-science engineers