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Replay-first debug flow for SGLang serving problems. An agent skill from sgl-project/sglang.
GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill，适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU，覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。
Install AI For Science Generator
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-generator --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/skills/ai-for-science/models/generator .claude/skills/ai-for-science-generator && 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 "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .claude/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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/skills/ai-for-science/models/generatorType 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 ai-for-science-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-generator --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/skills/ai-for-science/models/generator .agents/skills/ai-for-science-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .agents/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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 ai-for-science-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-generator --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/skills/ai-for-science/models/generator .cursor/skills/ai-for-science-generator && 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 "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .cursor/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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 skills/ai-for-science/models/generator--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 ai-for-science-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-generator --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/skills/ai-for-science/models/generator .gemini/skills/ai-for-science-generator && 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 "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .gemini/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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 ai-for-science-generatorInstalls 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 ai-for-science-generator -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/skills/ai-for-science/models/generator .github/skills/ai-for-science-generator && 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 "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .github/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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 ai-for-science-generator -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 ai-for-science-generator --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/skills/ai-for-science/models/generator .opencode/skills/ai-for-science-generator && 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 "ai-for-science-generator" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/generator into .opencode/skills/ai-for-science-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-generator", 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
ai-for-science-generator- GitHub stars
- 174
- Token cost
- ~827 tokens
- SKILL.md length
- 115 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill，适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU，覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。
- Works in 6 steps: 环境初始化 → 创建 Conda 环境 → 安装依赖 → …
- AI & LLM Engineering work in your project
- SKILL.md covers 前置条件, 迁移步骤, 配套脚本 and 参考资料
- Runs Python scripts from its folder; calls pip, conda and python; reaches repo.huaweicloud.com and hf-mirror.com
What it does
AI For Science Generator is an agent skill from ascend-ai-coding/awesome-ascend-skills. GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill，适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU，覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/runtime-adaptation.md` and `scripts/validate_generator_env.py`).
It sits in AI & LLM Engineering. It works with CUDA and Transformers. 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
- AI & LLM Engineering work in your project
Example prompts
- “/ai-for-science-generator”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- 环境初始化
- 创建 Conda 环境
- 安装依赖
- 代码适配
- 验证
- 注意事项
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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pipcondapython
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
repo.huaweicloud.comhf-mirror.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI For Science Generator loads about 827 tokens when it runs, and up to ~987 if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 115 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 115 words (~827 tokens).
- name
- ai-for-science-generator
- keywords
- ai-for-science, generator, dna, causal-lm, transformers, ascend
Files
SKILL.md and 2 other files (scripts, references) in skills/ai-for-science/models/generator of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/runtime-adaptation.md
- scripts/validate_generator_env.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
AI For Science Generator 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 |
|---|---|---|---|---|---|---|
| AI For Science Generator this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~827 | Automated safety check: Pass | None | |
| Sglang Prod Incident Triagesgl-project/sglang | 37k | 3 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Paddle BuildPaddlePaddle/Paddle | 24k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Paddle Design CompilerPaddlePaddle/Paddle | 24k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Fastllm Triton Opsztxz16/fastllm | 5.1k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Cuda Index Widthpytorch/pytorch | 104k | — | ~1.6k | Automated safety check: Pass | Custom licence |
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Works with
Categories
Questions about AI For Science Generator
What does AI For Science Generator do?
GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill，适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU，覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。. AI For Science Generator is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use AI For Science Generator?
AI For Science Generator fits situations like: AI & LLM Engineering work in your project.
How do I install AI For Science Generator in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-generator -a claude-code`. Or copy the skill folder (skills/ai-for-science/models/generator in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ai-for-science-generator in your project. Claude Code loads it when a task matches its description.
How do I install AI For Science Generator in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-generator -a codex`. Or copy the skill folder (skills/ai-for-science/models/generator in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ai-for-science-generator in your project. Codex loads it when a task matches its description.
Can I use AI For Science Generator 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 ai-for-science-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-for-science-generator, .gemini/skills/ai-for-science-generator, .github/skills/ai-for-science-generator and .opencode/skills/ai-for-science-generator in your project.
What does AI For Science Generator need to run?
Going by SKILL.md and its folder, AI For Science Generator needs Python for the scripts in its folder and the command-line tools its instructions call (pip, conda and python). Our summary lists: Python 3.
Does AI For Science Generator access the network?
SKILL.md names 2 domains. In commands or code: repo.huaweicloud.com and hf-mirror.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is AI For Science Generator 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 AI For Science Generator use?
No licence was found for AI For Science Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI For Science Generator use?
About 827 tokens (SKILL.md is roughly 3.3k 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 160 tokens, read only when the agent opens those files.
What are the alternatives to AI For Science Generator?
Skills that share tags, products or a category with AI For Science Generator: Sglang Prod Incident Triage (sgl-project/sglang, 37k stars), Paddle Build (PaddlePaddle/Paddle, 24k stars), Paddle Design Compiler (PaddlePaddle/Paddle, 24k stars) and Fastllm Triton Ops (ztxz16/fastllm, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI For Science Generator?
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 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.