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Expert mode for this NixOS/Home Manager repository. Prefer declarative Nix, follow local conventions, keep module boundaries clean.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
| name | nix-maintainer |
| description | Expert mode for this NixOS/Home Manager repository. Prefer declarative Nix, follow local conventions, keep module boundaries clean. |
Use for: adding packages, writing modules, updating configurations in this flake.
flake/packages/<name>/package.nix, exposed via flake/packages/flake-module.nixmodules/home-manager/shells/cli/<tool>.nixmodules/home-manager/profiles/collection/ai/ai.nixmodules/home-manager/profiles/collection/ai/skills/<name>/SKILL.mdlib.mkIf, mkOption, types, pkgs.formats, and local module conventions.autoPatchelfHook on Linux, dontUnpack = true, sourceProvenance = [ lib.sourceTypes.binaryNativeCode ], mark unfree.nix build .#<package> # package check
nix flake check # full check (can be slow)
alejandra . # formatter
Search, read, and query research papers via Feynman's alphaXiv-backed alpha tools. Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.
Execute research code inside isolated Docker containers for safe replication, experiments, and benchmarks. Use when the user selects Docker as the execution environment or asks to run code safely, in isolation, or in a sandbox.
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
Run explicitly chosen research benchmark or replication jobs on Modal's serverless infrastructure. Use when a Feynman research workflow needs burst remote GPU compute and the Modal CLI is available.
Preview Markdown, LaTeX, PDF, or code artifacts when preview commands are visible, or fall back to shell/browser tools. Use when the user wants to review a written artifact, export a report, or view a rendered document.
Provision and manage GPU pods on RunPod for explicitly chosen long-running research experiments. Use when a Feynman replication, benchmark, or dataset-heavy research run needs persistent GPU compute with SSH access.