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Found 136 Skills
Runs packages temporarily, creates isolated shell environments, and evaluates Nix expressions. Use when executing tools without installing, debugging derivations, or working with nixpkgs.
Create reproducible development environments with Dev Containers, Nix flakes, and Devbox for consistent toolchains across teams. Use when onboarding developers, standardizing build environments, or eliminating "works on my machine" problems.
Expert guidance for unix-goto shell navigation tool development, including architecture, 9-step feature workflow, testing (100% coverage), performance optimization (<100ms targets), and Linear issue integration
Maintains development environment instructions in the project README.md using nixomatic. When the user asks to build, compile, test, lint, format, type-check, run, or set up a project, or when a command fails because a tool or runtime is not installed, analyze project files to determine required packages and use nix develop with a nixomatic.com URL. Ensure the README.md documents how to reproduce the environment with both nix develop and docker run nixos/nix.
Migrate existing Phoenix (PX) traces, datasets, experiments, and stored evaluation results into Arize AX and verify the imported records. Use when users ask to move or copy historical Phoenix data to AX; not for adding live instrumentation or exporting AX data alone.
Use when reorganizing Nix flakes, flake-parts outputs, NixOS modules, nix-darwin modules, or Home Manager modules into a thin flake/ public surface with implementation under src/.
Research an Elixir/Phoenix topic on the web. Searches ElixirForum, HexDocs, blogs, and GitHub. Uses efficient markdown conversion.
Expert skill for using RX, an embedded data store for JSON-shaped data with random-access reads, no-parse lookups, and a text-safe binary encoding format.
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
Applicable to code-centric tasks such as coding, debug/debugging, bug fixing, refactor/refactoring, code review, scripting, automation, and implementation planning.
Expert in Elixir and Phoenix development with functional programming patterns
Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.