Results for “ninox”

Validates that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after deploying a disagg or multi-node recipe to confirm KV transport is correct, or use troubleshoot for already-failed pods.

Nx build system and monorepo tools. Advanced task orchestration, generators, and plugins. Use for complex enterprise monorepos with multiple technologies. USE WHEN: user mentions "Nx", "nx.json", "Nx monorepo", "Nx generators", asks about "Nx workspace", "affected commands", "module boundaries" DO NOT USE FOR: Turborepo (use turborepo skill), simple monorepos (Turborepo is simpler), single-package projects

Nx workspace configuration, generators, and affected commands.

You are an expert in Nuxt 3, the full-stack Vue framework with server-side rendering, auto-imports, file-based routing, API routes powered by Nitro, and 200+ modules. You help developers build production Vue applications with hybrid rendering (SSR/SSG/SPA per route), server components, middleware, state management with useState, data fetching with useFetch/useAsyncData, and deployment to 20+ platforms.

Build and manage monorepos with Nx. Use when a user asks to set up a monorepo, manage multiple packages/apps, cache builds, run affected tests, or migrate from Lerna.

Routes NVIDIA Nemotron Speech (Riva) NIM tasks for ASR, TTS, and NMT, covering cloud-hosted inference, self-hosted Docker deployment, and custom model builds.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

Open Neural Network Exchange format for model interoperability across frameworks. Export models from PyTorch, TensorFlow, and other frameworks to ONNX, optimize with ONNX Runtime, and deploy for cross-platform inference on CPU, GPU, and edge devices.

Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing topologies — applicable to social, biological, transportation, citation, and any pairwise-relationship networks. This is classical graph analytics, not deep learning — for training graph neural networks (GCN/message passing, node/edge/graph classification on Cora-style data) use alterlab-torch-geometric instead. Part of the AlterLab Academic Skills suite.

High-performance numerical computing with JAX, covering functional transformations, Flax NNX, and best practices for ML research.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

Make the base agentic-skills available in a project by installing them project-local with npx skillpacks init, report and fix skill-install drift, clean up legacy user-home installs, and run guided setup for project-local domain packs. Use when Codex needs to enable base skills for a project, repair stale installs, confirm initialization status, remove old global installs, or set up and route domain packs.

Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling reliable cold-start AI sessions across a team. Produces INDEX.md, systems.md, concept_model.json, git_forensics.md and more. Requires shell execution and Python 3.10+. For ad-hoc file queries or instant impact analysis during active development, use nexus-query instead.

Create, analyze, and visualize complex networks and graphs in Python with NetworkX, including graph algorithms, community detection, synthetic network generation, and multiple I/O formats.

Nx smart monorepo build system reference. Covers affected commands, computation caching, project graph visualization, nx.json and project.json config, code generators for React/ Angular/Node/Next.js, module boundary enforcement, Nx Cloud remote caching, and migration from Turborepo.

Develop Nuxt 3 full-stack Vue applications with SSR, file-based routing, auto-imports, data fetching, and deployment guidance.

Nuxt 3 patterns including Nitro server, auto-imports, modules, hybrid rendering, and full-stack development.

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

Produces NetworkX code with explicit graph kind, node identity, edge multiplicity, direction, attribute schema, weight semantics, and algorithm preconditions, including testing.

Create, manipulate, and analyze complex networks and graphs using the NetworkX Python package, including algorithms, generators, I/O, and visualization.

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.

xUnit.net testing framework with Fact, Theory, fixtures, DI, and mocking with Moq and NSubstitute. Covers .NET testing best practices. USE WHEN: user mentions "xUnit", ".NET testing", "Fact", "Theory", "InlineData", "Moq", "NSubstitute", "C# unit test" DO NOT USE FOR: NUnit - use `nunit`, Vitest - use `vitest`, Jest - use `jest`, Playwright - use `playwright`

Build and deploy web servers anywhere using Nitro's filesystem routing, caching, tasks, WebSockets, and deployment presets for Node.js, Bun, Deno, Cloudflare, Vercel, and more.

Enumerate SMB, WinRM, LDAP, and MSSQL services, validate credentials, spray passwords, and execute commands on remote hosts using NetExec during authorized penetration tests.

Elite admin and internal-tool UX for Nick's apps. Use when designing dashboards, operator workflows, tables, filters, bulk actions, and information-dense interfaces that still feel fast, clear, and trustworthy.

Expert real-time VFX artist specializing in particle systems, shader effects, and the invisible craft that makes games feel satisfying. Masters Niagara, VFX Graph, Godot GPU particles, and understands the AAA principles that make effects read clearly at 60fps. Use when "particle system, visual effects, vfx, particles, niagara, vfx graph, flipbook, sprite sheet, explosion effect, magic effect, trail effect, beam effect, dissolve, distortion, force field, hit effect, muzzle flash, impact effect, smoke particles, fire effect, soft particles, game juice, screen shake, particle overdraw, effect optimization, vfx, particles, effects, niagara, vfx-graph, game-juice, visual-effects, shaders, flipbook, trails, beams, explosions, optimization, gpu-particles" mentioned.

Internal network assessment. VLAN hopping, ARP spoofing detection, broadcast protocol abuse (LLMNR/NBT-NS/mDNS), network segmentation verification, SNMP enumeration, NFS exposure, router/switch audit, and internal service mapping. Assumes attacker has network access. Uses nmap, arp-scan, nbtscan, snmpwalk, onesixtyone, smbmap, nfs-common, masscan, hping3, and netexec.

Developer Experience specialist. Improves tooling, setup, and workflows. Focuses on async collaboration and communication via automated standup notes.

Expert en construction ERP no-code (Hercules, Ninox, Airtable-based ERP, CRM custom, contexte DZ)

Scaffolds a Nuxt 3 full-stack project with Vue 3, Pinia, Tailwind, Prisma, and Zod, including setup steps and best practices.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

Create reproducible, cross-platform development environments with Flox, a declarative Nix-based environment manager for macOS and Linux.

Drive mex (`mex-agent`), persistent project memory and code graphs for AI coding agents. One command scaffolds a living wiki, builds a deterministic code graph, and installs a project anchor file (CLAUDE.md, root AGENTS.md, .cursorrules, .windsurfrules, copilot-instructions.md, or .opencode/opencode.json) that your agent auto-loads as a standing rule document. Use when the user wants to `mex setup` a new project, build a symbol-grounded wiki, keep knowledge connected to implementation, route relevant context to agents, or run drift detection (`mex check`, `mex sync`). Triggers on: "mex setup", "project memory", "code graphs", "codebase documentation", "drift detection", "agent memory", "structured scaffolds", "architectural context", "living wiki", "project anchor file".

Runs and manages DNAnexus jobs and workflows, including monitoring, parallel execution, and error handling.