Explore skills

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility

Define and configure database models with proper naming, relationships, timestamps, data types, constraints, and validation. Use this skill when creating or editing model files, Eloquent model classes, model relationships, database table structures, model attributes, factories, seeders, or model validation logic.

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility

Automated hypothesis generation and testing using large language models. This skill facilitates generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, and systematic hypothesis exploration for research discovery in domains such as deception detection, AI content detection, or mental health analysis.

Raw mechanical interfaces fuse Swiss typographic print with military terminal aesthetics, featuring rigid grids, extreme type scale contrast, and utilitarian color with analog degradation effects. This style is ideal for data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.

A comprehensive backend development guide for Supabase Edge Functions and PostgreSQL. It covers database design, authentication, Edge Function patterns, Row-Level Security, email integration, payment processing, and deployment to Supabase.

Comprehensive backend development guide for Node.js/Express/TypeScript microservices. It covers creating routes, controllers, services, repositories, middleware, Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, async patterns, and layered architecture.

Comprehensive backend development guide for Node.js/Express/TypeScript microservices. It covers creating routes, controllers, services, repositories, middleware, Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, async patterns, and layered architecture.

Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between M