所有 Skills
找到 6179 個 Skills
Skills 列表
nemo-rl-session-memory
Manage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
nvidiaphysical-ai-defect-image-generation
Use when the user wants to orchestrate defect image generation with NVIDIA Cosmos AnomalyGen (Cosmos-Predict2-derived) on OSMO for PCBA, metal surface, and glass inspection. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint, cosmos defect generation, cosmos-predict2 defect, cosmos-anomalygen, cosmos predict2 finetune.
nvidiacupynumeric-parallel-data-load
Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.
nvidianemotron-retrieval-recipes
Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.
nvidianemo-automodel-distributed-training
Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.
nvidianemotron-speech
Routes NVIDIA Nemotron Speech (Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
nvidiavss-summarize-video
Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.
nvidianemo-automodel-recipe-development
Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.
nvidiacupynumeric-hdf5
Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.
nvidia
loop-library
Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.
forward-futuredali-dynamic-mode
DALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.
nvidiacuopt-numerical-optimization-formulation
LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
nvidianemotron-customize
Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks.
nvidiaphysical-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.
nvidiacupynumeric-install
Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.
nvidia
wecomcli-shared
wecom-cli 业务技能的公共前置检查、获取机器人及授权真人身份，以及通用输出约束。任何 wecomcli-* 技能准备执行 wecom-cli 命令前，都必须同时读取本技能，检查 CLI 是否安装、版本是否不低于 1.1.0，以及企业微信凭证是否已授权；仅在缺失、版本过低或未授权时执行安装或初始化。本技能还定义所有技能通用的 ID 类字段禁止外露约束。本技能不处理具体业务请求。
wecomteamwecomcli-message
查询当前可以发送消息的聊天会话范围，并向会话列表中的单聊或群聊发送文本、Markdown、图片、文件、语音、视频消息。用户要求“给某人发消息”“在某个群里通知”“给最近会话发消息”或“把图片/文件/语音/视频发到企业微信”时使用。
wecomteamwecomcli-doc-manage
企业微信文档公共管理：搜索文档（最近浏览/创建）、文档改名、添加文档成员权限、设置文档加入规则。适用于所有文档类型（doc文档 / 在线表格 / 智能表格 / 智能文档）。新建或导入doc文档请使用 wecomcli-doc；新建或导入在线表格请使用 wecomcli-sheet；智能表格内容 CRUD 请使用 wecomcli-smartsheet；生成智能文档请使用 wecomcli-smartpage。"看过哪些文档/浏览历史"类需求走本技能，不要走 wecom_get_user_memory。
wecomteamwecomcli-media
企业微信媒体文件上传/下载技能。承接基于 media_id 下载媒体文件到本地，以及上传本地文件获取 media_id 两类操作。当其他技能（微盘、邮件等）返回了 media_id 需要落地为本地文件，或已有本地文件需要转换为 media_id 供其他技能使用时，必须先读取本技能获取完整指引，不得凭记忆处理。本技能不解析/识别文件内容，仅负责文件本身的搬运。
wecomteamwecomcli-disk
企业微信微盘（Disk / 网盘）文件操作技能。承接"微盘 / 网盘"里的文件列出、搜索、读取元信息、上传、下载、重命名、新建文件夹操作。用户明确提到"微盘"/"网盘"/"共享空间"时必须先读取本技能获取完整指引，不得凭记忆处理。用户说"上传到微盘"、"帮我在微盘里搜一下 xxx"、"微盘那个 PPT 在哪"、"下载微盘那个文件"、"把微盘那个文件重命名成 xxx"、或直接给出 `https://drive.weixin.qq.com/s?k=...` 形式的微盘文件链接时使用本技能。与 `wecomcli-doc` / `wecomcli-sheet` / `wecomcli-smartsheet` / `wecomcli-smartpage` 的区别：本技能处理微盘里所有文件（含在线文档）的搜索/列表/基础信息/位置/路径/重命名等文件级操作；在线文档（`doc/sheet/smartsheet/smartpage` 类型）的内容读写走对应文档技能，不由本技能接管。当用户问「这个文档在微盘哪里」或问某文件在微盘的位置时，由本技能用 get 返回空间名/文件夹名/路径等元信息。
wecomteamwecomcli-calendar
企业微信日程管理。当用户需要预约日程、预订会议室、查看/更新/取消日程或查忙闲时触发。本技能负责『日程』——即不含在线会议链接的安排（也涵盖纯线下面对面碰头）；若用户要的是『在线会议』（含会议号/入会链接、可远程或视频参会），改用 wecomcli-meeting 技能。用户仅说'开会/约个会/某会'等、未明确要创建的是日程还是在线会议时，必须先读取本技能并按其中的消歧流程向用户追问确认后再处理，不可臆断直接创建。
wecomteamwecomcli-email
企业微信邮件：发送/回复/转发邮件、搜索邮件列表、获取邮件详情（正文、附件、内嵌图片解析），支持通过邮件发送日程邀约和会议预定。当用户涉及内部邮件收发、邮件查询、邮件管理等需求时使用。注意：日程和会议有单独的技能，仅当用户明确提到"邮箱"或"邮件"时（如"通过邮箱发送会议邀请"、"发封会议邮件"），才使用本技能处理会议日程邮件。
wecomteam
playwright-skill
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
lackeyjb
dart-write-documentation
Rules and formatting guidelines for writing Dart /// API documentation and doc comments. Use when documenting Dart code, writing doc comments for any Dart declaration (libraries, classes, methods, variables, etc.), or when instructed to follow the Effective Dart documentation guidelines.
flutter