Setup Workshop Nemoclaw
brevdev/workshop-build-an-agent
Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.
Agent skill
External Gitcode Ascend Verl Feature Deploy
by ascend-ai-coding in ascend-ai-coding/awesome-ascend-skills
Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。
Install External Gitcode Ascend Verl Feature Deploy
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deploy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .claude/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .claude/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deployType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deploy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .agents/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .agents/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deploy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .cursor/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .cursor/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ascend-ai-coding/awesome-ascend-skills.git --path external/gitcode-ascend/verl-feature-deploy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deploy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .gemini/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .gemini/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deployInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .github/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .github/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-verl-feature-deploy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/external/gitcode-ascend/verl-feature-deploy .opencode/skills/external-gitcode-ascend-verl-feature-deploy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "external-gitcode-ascend-verl-feature-deploy" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/external/gitcode-ascend/verl-feature-deploy into .opencode/skills/external-gitcode-ascend-verl-feature-deploy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "external-gitcode-ascend-verl-feature-deploy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
external-gitcode-ascend-verl-feature-deploy- GitHub stars
- 174
- Token cost
- ~2k tokens
- SKILL.md length
- 347 words
- Files
- 10 (incl. scripts, references, assets)
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- None found
At a glance
Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。
- Works in 4 steps: 用户配置优先：用户明确指定 > 自动检测 > 默认值 → 配置必须验证：路径、镜像等运行前检测有效性，不猜测 → 用户确认是阻断点：执行前展示配置清单并等待确认 → …
- Tasks that involve Fine-tuning
- SKILL.md covers 核心原则, 整体流程, 阶段 1：环境预检查 and 阶段 2：用户交互收集信息, plus 9 more sections
- Runs Shell scripts from its folder; calls docker, bash and python; needs SWANLAB_API_KEY
What it does
External Gitcode Ascend Verl Feature Deploy is an agent skill from ascend-ai-coding/awesome-ascend-skills. Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts, reference files and assets (for example `assets/start_template.sh`, `assets/training_template.sh` and `references/feature-guide.md`).
It sits in AI & LLM Engineering, covering Fine-tuning. It works with NVIDIA AI Platform, Qwen and Docker. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.
When your agent uses it
- Tasks that involve Fine-tuning
Example prompts
- “/external-gitcode-ascend-verl-feature-deploy”
Requirements
- Python 3
- A Bash shell
- Docker
- A credential in SWANLAB_API_KEY
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 用户配置优先：用户明确指定 > 自动检测 > 默认值
- 配置必须验证：路径、镜像等运行前检测有效性，不猜测
- 用户确认是阻断点：执行前展示配置清单并等待确认
- 严格区分宿主机/容器内：docker cp 在宿主机执行，进入容器后不再使用 docker 前缀命令
What it can do on your machine
Read from SKILL.md and the folder at commit 62a4ecb. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
dockerbashpythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker and pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
SWANLAB_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
External Gitcode Ascend Verl Feature Deploy loads about 2k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 347 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 347 words (~1,955 tokens).
“在 NPU 集群上拉起 Verl 分布式训练服务，并灵活配置加速特性，支持 DAPO/GRPO 等 RLHF 算法。”
- name
- external-gitcode-ascend-verl-feature-deploy
- original-name
- verl-deploy
- synced-from
- https://gitcode.com/Ascend/agent-skills
- synced-date
- 2026-05-26
- synced-commit
- 1f7666e7768a0ceb21bb1d40ce4b5179fcb6f1d6
- license
- UNKNOWN
Files
SKILL.md and 9 other files (scripts, references, assets) in external/gitcode-ascend/verl-feature-deploy of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- assets/start_template.sh
- assets/training_template.sh
- references/feature-guide.md
- references/ops-commands.md
- references/troubleshooting.md
- scripts/feature_mask.sh
- scripts/generate_training.sh
- scripts/pre_check.sh
- scripts/verl_docker_run.sh
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
External Gitcode Ascend Verl Feature Deploy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| External Gitcode Ascend Verl Feature Deploy this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~2k | Automated safety check: Pass | None | |
| Setup Workshop Nemoclawbrevdev/workshop-build-an-agent | 143 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Serving LLMs On Instinctamd/skills | 395 | — | ~4k | Automated safety check: Notes | MIT | |
| Tinker Training Costsundial-org/skills | 152 | — | ~1.2k | Automated safety check: Pass | None | |
| slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Fix Art IssuesOpenPipe/ART | 11k | — | ~840 | Automated safety check: Notes | Apache-2.0 |
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amd/skills
Serves AI models on AMD Instinct GPU hardware using vLLM. An agent skill from amd/skills.
Tinker Training Cost
sundial-org/skills
Calculate training costs for Tinker fine-tuning jobs. An agent skill from sundial-org/skills.
slime RL Post-Training
Orchestra-Research/AI-Research-SKILLs
Guides reinforcement-learning post-training of LLMs with slime, which pairs Megatron-LM training with SGLang rollouts, including GRPO runs on GLM, Qwen3 and Llama 3 models.
Fix Art Issues
OpenPipe/ART
Fix a GitHub issue on OpenPipe/ART and open a PR. An agent skill from OpenPipe/ART.
Safactory Workflows
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Integrate a benchmark or custom environment into SAfactory using fixed adapter templates and local contract tests, optionally run Docker/RJob evaluation, or prepare GRPO/RL training.
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Works with
Categories
Questions about External Gitcode Ascend Verl Feature Deploy
What does External Gitcode Ascend Verl Feature Deploy do?
Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。. External Gitcode Ascend Verl Feature Deploy is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use External Gitcode Ascend Verl Feature Deploy?
External Gitcode Ascend Verl Feature Deploy fits situations like: tasks that involve Fine-tuning.
How do I install External Gitcode Ascend Verl Feature Deploy in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a claude-code`. Or copy the skill folder (external/gitcode-ascend/verl-feature-deploy in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/external-gitcode-ascend-verl-feature-deploy in your project. Claude Code loads it when a task matches its description.
How do I install External Gitcode Ascend Verl Feature Deploy in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a codex`. Or copy the skill folder (external/gitcode-ascend/verl-feature-deploy in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/external-gitcode-ascend-verl-feature-deploy in your project. Codex loads it when a task matches its description.
Can I use External Gitcode Ascend Verl Feature Deploy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-verl-feature-deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/external-gitcode-ascend-verl-feature-deploy, .gemini/skills/external-gitcode-ascend-verl-feature-deploy, .github/skills/external-gitcode-ascend-verl-feature-deploy and .opencode/skills/external-gitcode-ascend-verl-feature-deploy in your project.
What does External Gitcode Ascend Verl Feature Deploy need to run?
Going by SKILL.md and its folder, External Gitcode Ascend Verl Feature Deploy needs a shell for the scripts in its folder, the command-line tools its instructions call (docker, bash, python and pip) and credentials named SWANLAB_API_KEY. Our summary lists: Python 3; A Bash shell; Docker; A credential in SWANLAB_API_KEY.
Does External Gitcode Ascend Verl Feature Deploy access the network?
SKILL.md contains no URLs. Its commands use docker and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is External Gitcode Ascend Verl Feature Deploy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does External Gitcode Ascend Verl Feature Deploy use?
No licence was found for External Gitcode Ascend Verl Feature Deploy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does External Gitcode Ascend Verl Feature Deploy use?
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.
What are the alternatives to External Gitcode Ascend Verl Feature Deploy?
Skills that share tags, products or a category with External Gitcode Ascend Verl Feature Deploy: Setup Workshop Nemoclaw (brevdev/workshop-build-an-agent, 143 stars), Serving LLMs On Instinct (amd/skills, 395 stars), Tinker Training Cost (sundial-org/skills, 152 stars) and slime RL Post-Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains External Gitcode Ascend Verl Feature Deploy?
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 7, 2026.
Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.