Automate web browser interactions using natural language via CLI commands. Use when the user asks to browse websites, navigate web pages, extract data from websites, take screenshots, fill forms, click buttons, or interact with web applications.

Probabilistic single-cell RNA-seq with scvi-tools — scVI for a batch-corrected latent space, scANVI for semi-supervised label transfer, and Bayesian differential expression. Reach for this skill to integrate scRNA-seq batches, embed cells for clustering, transfer annotations from a reference onto a query, or score differentially expressed genes per cluster. For spatial deconvolution / mapping use the cell2location, DestVI, or Tangram methods instead.

Write any link or URL so it resolves where it is rendered, not where it lives in the repo. Use when authoring or editing a link — in docs, source docstrings, READMEs (incl. npm-published), or product UI: docs cross-refs, "see SECURITY.md", universal `/_/` routes, GitHub URLs.

Audit and update serve-sim's Device Hub-style simulator placeholder assets from local Xcode/CoreTypes resources. Use after installing a new Xcode or macOS seed, or when iPhone, iPad, Watch, or Vision placeholder previews look wrong.

NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. Use local NIM containers for confidential or proprietary sequences. Run a complete protein structure prediction pipeline using NVIDIA BioNeMo NIMs: search for MSA alignments with MSA-Search (ColabFold), then predict the structure with OpenFold3 using the retrieved alignments. Use this skill whenever the user wants to predict a protein structure with maximum accuracy using MSA context, run the full AlphaFold3-style pipeline, generate MSA-informed structure predictions, or improve structure prediction accuracy by providing evolutionary information. Triggers on: MSA structure prediction pipeline, structure prediction pipeline, MSA-informed prediction, OpenFold3, ColabFold MSA, AlphaFold3 pipeline, protein structure, homology search, a3m alignment, UniRef30, NIM microservice. This pipeline chains MSA-Search and OpenFold3.

Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domain or language", it scopes the task, picks the cheapest sufficient path (word boosting → n-gram LM → fine-tuning), delegates each stage to the right sub-skill (data generation, training, evaluation, deployment), and answers cost/time/data questions along the way.

Use to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.

Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.

Use when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.

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.

小说写作技法 - 当需要逐章执笔创作小说正文时触发。关键词：写作、执笔、章节、正文、创作。

Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.

Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that depend on complex external services like APIs or databases.

Contains well-defined rules for creating natural, accurate, and readable writing. Use whenever authoring longer text, like analysis documents, PR or CL descriptions, or documentation.

Integrate markstream-vue into a Vue 3 app. Use when Codex needs to add the Vue 3 renderer, import CSS in the right order, choose renderer and DOM modes, choose built-in, plain, or custom code-block paths, choose between `content` and `nodes`, coordinate long AI timelines with `MarkstreamVirtualTimeline`, `useMarkstreamVirtualAdapter`, or `vue-virtual-scroller`, enable optional peers such as stream-diffs, Mermaid, KaTeX, D2, or Infographic, or wire scoped custom components in a non-Nuxt Vue repository.

Integrate the beta markstream-react package into a React 18+ or Next app. Use when Codex needs to add the React renderer, choose the root, `next`, or `server` entrypoint, import CSS correctly, choose between `content` and `nodes`, keep client boundaries safe, add renderer-local `streamingComponents` or `htmlComponents`, use parser transforms, or prepare a repo for `react-markdown` migration.

Audit and migrate existing Markdown rendering to Markstream, or upgrade a markstream-vue 1.x integration to 2.x. Use when Codex needs to replace another renderer, classify direct vs custom vs plugin-heavy adoption, preserve behavior during adoption, migrate custom renderers into scoped Markstream overrides, decide when `nodes` streaming is worth adopting, or replace removed 1.x code-block dependencies, APIs, preview payloads, and parser types.

海岚旅行预订规则（HL-CS-POL-02 V3.1）：合同与生效、预付款与尾款、取消与改期、折扣、儿童与长者、保险、个人信息、人数上限。对客人做付款、退改、合同方面的说明只以此为准。

Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.

Analyze nonlinear dynamical systems — phase portraits, fixed points, stability analysis, bifurcation diagrams, Poincare sections, Lyapunov exponents, and chaos detection. Use for any autonomous or non-autonomous ODE system where qualitative behavior matters.