菜单
Screenshot-driven visual development workflow using Playwright MCP. Use when implementing designs from mockups or Figma, building new UI components, or fixing visual bugs.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill visual-dev命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| name | visual-dev |
| description | Screenshot-driven visual development workflow using Playwright MCP. Use when implementing designs from mockups or Figma, building new UI components, or fixing visual bugs. |
Playwright MCP must be available for browser automation and screenshots.
Take Screenshot → Analyze vs Design → Make Code Changes → Navigate & Test → Repeat
Fine-tune models on NeMo Platform with `automodel`, `unsloth`, or `rl` (all `submit`-only): HF dataset conversion, filesets, model entities, and job JSON (hyperparameters, batch, schedule, optimizer) + job polling. `automodel`/`unsloth` run SFT/LoRA as Docker GPU jobs; `rl` runs DPO (preference) or GRPO (NeMo Gym environment + reward) on a Ray cluster (Kubernetes). Covers building and converting NeMo Gym environment packages (native-v1, wheels-v1, adapter-wheels-v1) and Gym rollout-row datasets. Use for train, fine-tune, customize, SFT, LoRA, DPO, GRPO, RLHF, reinforcement learning, reward environment, NeMo Gym, verifiers, Prime Intellect, preference optimization, learning rate, epochs, or nemo customization.
Generate, validate, and measure an audit-spec coverage denominator for Eval Author. Use when the user wants a hand-editable audit.md file derived from Ethos, needs schema enforcement for declared tools, capabilities, failure cases, evidence, and references, or wants to measure which audit items one ATIF trace covers. Changes none of the user's source, and saves audit artifacts under `.eval-author/`.
Work on evaluation suites in a user's repository or understand an agent run from NeMo Intake. Owns the evidence standard that every Eval Author sub-flow follows. Use when the user asks "help me with my evals", "what's the state of the eval suite here?", "what happened in this trace?", or when you need to pick between the Eval Author sub-flows. Routes to a sub-flow and changes none of the user's source. The selected sub-flow uses the provider's supported tools and saves its findings under `.eval-author/`.
基于 SOC 职业分类
