jest-testing
Provides Jest testing patterns and best practices for interpreters, parsers, and async TypeScript code in the Lea language repository.
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Provides Jest testing patterns and best practices for interpreters, parsers, and async TypeScript code in the Lea language repository.
Statistical visualization library for Python. Create publication-quality graphics like box plots, heatmaps, and violin plots with pandas integration and automatic statistical estimation.
Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
AI language tutor for personalized learning through conversation, grammar lessons, vocabulary drills, and flashcards. Supports 100+ languages including Spanish, French, Japanese, and Mandarin.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
AI-powered PowerPoint presentation reviewer using top-tier consulting standards (McKinsey, BCG) for structure, storytelling, clarity, design, and DSFR compliance.
Nonlinear optimization toolkit using CasADi and IPOPT. Ideal for building complex NLP models, defining symbolic variables, constraints, and solvers, with specialized support for power systems optimization patterns.
Manage, run, and update JS framework benchmarks for the Gea framework, including reporting, HTML result generation, and performance comparisons.
Expert copyeditor and writing specialist that identifies grammar, logic, and flow errors in text with actionable, targeted fix suggestions.
Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.
Implement robust Rust backend services using Axum, SQLx, and thiserror with production-grade patterns.