AI skills for Nim
AI Coding Skills for Nim
Browse the best AI coding skills for Nim in 2026, Nimble packaging, Jester/Karax for web, unittest module, and embedded systems work.
Short answer
The best AI coding skills for Nim are skills-hub's `code-review`, `unit-test` (unittest + nim-testutils), `api-scaffold` (Jester / Prologue), and `secure`. Portable across Claude Code, Cursor, Codex CLI, Copilot, and Cline.
Nim in 2026 hits a sweet spot, Python-like syntax compiling to native code, comptime metaprogramming, and JS / WebAssembly backends. The skills below detect your Nim stack (Nim 2.0+, Nimble for packaging, Jester or Prologue for HTTP, Karax for the frontend) and emit idiomatic Nim, proper UFCS, async/await, and effect tracking.
Top skills for Nim
01nvidia-skill-finder
Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software, SDKs, GPUs, Jetson/JetPack/L4T/BSP/SDK Manager/driver/flashing/setup, CUDA, NIM, NeMo, Omniverse/OpenUSD/SimReady, RAPIDS/cuDF, cuPyNumeric, cuOpt, Dynamo, Holoscan, TensorRT, DeepStream, VSS, TAO, NGC/NVCF. Do not use for generic non-NVIDIA route, optimize, deploy, AI, video, data, or infrastructure tasks.
Buildfrom skills02stock-analysis
Produce a rigorous, sector-relative, multi-factor fundamental analysis of a publicly listed company — Indian (NSE/BSE) or US/global. Use when the user asks to analyse, research, evaluate, or value a stock, ticker, or listed company; asks whether a business is fundamentally strong, cheap, or expensive; compares companies or benchmarks one against its sector; or mentions OPM, ROCE, ROE, ROIC, P/E, EV/EBITDA, free cash flow, NIM, GNPA, CASA, promoter holding or pledging. Use it for accounting-quality and forensic questions — "is the profit real", "why is profit rising but cash isn't", auditor qualifications, related-party concerns — which route to the forensic-only mode, and for IPOs and not-yet-listed companies — "should I apply to this IPO", DRHP/RHP or S-1 questions, price band, grey market premium — which route to the IPO mode. Use it even when the request sounds casual ("is Infosys any good?"). Do not use it for personalised investment advice, portfolio allocation, or trading signals
Buildfrom Multi-Domain Skills03emergency-resource
Audit an emergency resource management system for crisis readiness. Evaluates inventory tracking accuracy, deployment request-to-arrival pipeline, logistics and route optimization, supply chain resilience, inter-agency resource sharing (NIMS/EDXL), staging area management, and real-time capacity dashboards. Use when building or reviewing FEMA-style resource platforms, disaster logistics systems, or emergency operations center software.
Analysisfrom Skills Hub04nemotron-speech
Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
Buildfrom skills05deepstream-sop
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on industrial cameras, or call /v1/chat/completions with a file, RTSP, or Basler camera. Also trigger for its internals: SOPVideoProcessor, DeepStream GEBD model (e.g. DDM) via Triton CAPI, nvds_custom_postprocess, Cosmos Reason 1/2 vLLM, SSE streaming, Kafka NvProto/JSON output, Basler/Pylon camera + emulation, Docker compose, chunk-level latency. Do NOT trigger for generic DeepStream pipelines, object detection/tracking, NIM imports, or video summarization.
Buildfrom skills06physical-ai-infrastructure-setup-and-resilient-scaling
Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.
Buildfrom skills07arize-ai-provider-integration
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.
Buildfrom GitHub Copilot08harmonyos-motion
把 HarmonyOS、ArkUI、Canvas、WebView 或代码生成产品动效的模糊手感和现象转换为准确术语、相近概念、诊断分支与可能的 ArkUI 能力,例如“松手像急刹车”“滚动后按钮来不及点”“页面像从同一张卡片长出来”“键盘弹出导致远端布局乱跳”。
UX09remotion
Build programmatic videos with Remotion (React). Covers compositions, animations, sequencing, transitions, audio/video embedding, spring physics, text animations, voiceover generation with ElevenLabs TTS, FFmpeg integration, captions/subtitles, 3D with Three.js, charts, and rendering. Based on official Remotion best practices.
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Frequently asked questions
Do AI skills know Nim 2.0 features?
Yes, modern skills use orc as the default memory management, proper effect tracking annotations (.gcsafe, .raises), and UFCS for ergonomic call chains.
Can AI write Karax frontends?
Yes, the design-to-code skill detects Karax and emits proper buildHtml DSL + reactive patterns for the JS/WebAssembly target.
What's the best AI tool for Nim?
Cursor with the nimsuggest-based language server is the best inline experience. Nim is smaller in training data than mainstream languages, so Claude Code's multi-file refactors are slower than for TypeScript/Python.
Do AI skills handle Nim's async?
Yes, modern skills emit async procs with proper Future[T] types, await inside async contexts, and don't mix sync/async incorrectly.