Esmfold2
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
BoltzGen 昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程，覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。
Install AI For Science Boltzgen
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltzgen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltzgen --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/boltzgen .claude/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .claude/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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/boltzgenType 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-boltzgen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltzgen --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/boltzgen .agents/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .agents/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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-boltzgen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltzgen --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/boltzgen .cursor/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .cursor/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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/boltzgen--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-boltzgen -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-boltzgen --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/boltzgen .gemini/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .gemini/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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-boltzgenInstalls 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-boltzgen -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/boltzgen .github/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .github/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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-boltzgen -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-boltzgen --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/boltzgen .opencode/skills/ai-for-science-boltzgen && 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-boltzgen" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltzgen into .opencode/skills/ai-for-science-boltzgen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltzgen", 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-boltzgen- GitHub stars
- 174
- Token cost
- ~3.8k tokens
- SKILL.md length
- 415 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
BoltzGen 昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程，覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。
- Works in 3 steps: transfer_to_npu：在两个 Python 入口文件头部添加… → cuEquivariance NPU 等价算子：新增… → 修复兼容性问题：get_device_capability 返回值…
- AI & LLM Engineering work in your project
- SKILL.md covers 一、前置条件, 二、环境搭建, 三、获取源码并适配 and 四、安装项目, plus 4 more sections
- Runs Python scripts from its folder; calls pip, conda and python; reaches github.com and repo.huaweicloud.com
What it does
AI For Science Boltzgen is an agent skill from ascend-ai-coding/awesome-ascend-skills. BoltzGen 昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程，覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。
Its SKILL.md is about 3.8k 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-notes.md` and `scripts/check_boltzgen_assets.py`).
It sits in AI & LLM Engineering. It works with Hugging Face and CUDA. 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-boltzgen”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- transfer_to_npu：在两个 Python 入口文件头部添加 import torch_npu 和 from torch_npu.contrib import transfer_to_npu，自动将所有 torch.cuda.* API 劫持到 torch.npu.*。
- cuEquivariance NPU 等价算子：新增 npu_kernels.py，在 use_kernels=True 路径中按设备类型分发到 NPU 原生实现。
- 修复兼容性问题：get_device_capability 返回值 patch、numpy/torch 类型比较修复、CUDA 专属依赖注释。
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:
pipcondapythongit
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:
github.comrepo.huaweicloud.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 Boltzgen loads about 3.8k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 415 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 415 words (~3,807 tokens).
“本 Skill 提供将 BoltzGen从 CUDA 迁移到昇腾 NPU 的完整步骤。”
- name
- ai-for-science-boltzgen
- keywords
- ai-for-science, boltzgen, protein-design, inverse-folding, diffusion, ascend
Files
SKILL.md and 2 other files (scripts, references) in skills/ai-for-science/models/boltzgen of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/runtime-notes.md
- scripts/check_boltzgen_assets.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
AI For Science Boltzgen 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 Boltzgen this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~3.8k | Automated safety check: Pass | None | |
| Esmfold2JimLiu/science-skills | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Modelshuggingface/skills | 11k | 3 repos | ~945 | Automated safety check: Pass | Apache-2.0 | |
| Megakernel OptimizationRightNow-AI/AutoMegaKernel | 151 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Hugging Face ZeroGPUhuggingface/skills | 11k | 2 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Cosmos3 Post TrainingNVIDIA/cosmos-framework | 560 | — | ~2.7k | Automated safety check: Pass | Custom licence |
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Questions about AI For Science Boltzgen
What does AI For Science Boltzgen do?
BoltzGen 昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend NPU 上部署 BoltzGen 生成式蛋白设计与逆折叠流程，覆盖环境准备、权重缓存、cuEquivariance 兼容、源码适配和端到端推理验证。. AI For Science Boltzgen is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use AI For Science Boltzgen?
AI For Science Boltzgen fits situations like: AI & LLM Engineering work in your project.
How do I install AI For Science Boltzgen in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltzgen -a claude-code`. Or copy the skill folder (skills/ai-for-science/models/boltzgen in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ai-for-science-boltzgen in your project. Claude Code loads it when a task matches its description.
How do I install AI For Science Boltzgen in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltzgen -a codex`. Or copy the skill folder (skills/ai-for-science/models/boltzgen in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ai-for-science-boltzgen in your project. Codex loads it when a task matches its description.
Can I use AI For Science Boltzgen 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-boltzgen -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-boltzgen, .gemini/skills/ai-for-science-boltzgen, .github/skills/ai-for-science-boltzgen and .opencode/skills/ai-for-science-boltzgen in your project.
What does AI For Science Boltzgen need to run?
Going by SKILL.md and its folder, AI For Science Boltzgen needs Python for the scripts in its folder and the command-line tools its instructions call (pip, conda, python and git). Our summary lists: Python 3.
Does AI For Science Boltzgen access the network?
SKILL.md names 2 domains. In commands or code: github.com and repo.huaweicloud.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 Boltzgen 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 Boltzgen use?
No licence was found for AI For Science Boltzgen or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI For Science Boltzgen use?
About 3.8k tokens (SKILL.md is roughly 15k 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 210 tokens, read only when the agent opens those files.
What are the alternatives to AI For Science Boltzgen?
Skills that share tags, products or a category with AI For Science Boltzgen: Esmfold2 (JimLiu/science-skills, 228 stars), Hugging Face Local Models (huggingface/skills, 11k stars), Megakernel Optimization (RightNow-AI/AutoMegaKernel, 151 stars) and Hugging Face ZeroGPU (huggingface/skills, 11k 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 Boltzgen?
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 10, 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.