Esmfold2
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
Boltz2 蛋白质结构预测模型的昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend 910、910B、910C 上准备权重、适配 Lightning 和 CUDA only kernel、完成 Boltz2 端到端结构预测推理，并沉淀可复现的环境与验证命令。
Install AI For Science Boltz2
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltz2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltz2 --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/boltz2 .claude/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .claude/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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/boltz2Type 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-boltz2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltz2 --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/boltz2 .agents/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .agents/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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-boltz2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-boltz2 --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/boltz2 .cursor/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .cursor/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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/boltz2--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-boltz2 -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-boltz2 --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/boltz2 .gemini/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .gemini/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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-boltz2Installs 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-boltz2 -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/boltz2 .github/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .github/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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-boltz2 -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-boltz2 --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/boltz2 .opencode/skills/ai-for-science-boltz2 && 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-boltz2" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/boltz2 into .opencode/skills/ai-for-science-boltz2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-boltz2", 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-boltz2- GitHub stars
- 174
- Token cost
- ~2.8k tokens
- SKILL.md length
- 369 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
Boltz2 蛋白质结构预测模型的昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend 910、910B、910C 上准备权重、适配 Lightning 和 CUDA only kernel、完成 Boltz2 端到端结构预测推理，并沉淀可复现的环境与验证命令。
- Works in 4 steps: 入口层用 transfer_to_npu，把 CUDA API 自动重映射到… → 通过 npu_adapter 做设备无关封装，替换代码中的 CUDA 硬编码。 → 对 CUDA-only… → …
- AI & LLM Engineering work in your project
- SKILL.md covers 一、前置条件, 二、权重与数据文件, 三、环境搭建 and 四、源码迁移改动, plus 5 more sections
- Runs Python scripts from its folder; calls conda, pip and python; reaches github.com
What it does
AI For Science Boltz2 is an agent skill from ascend-ai-coding/awesome-ascend-skills. Boltz2 蛋白质结构预测模型的昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend 910、910B、910C 上准备权重、适配 Lightning 和 CUDA only kernel、完成 Boltz2 端到端结构预测推理，并沉淀可复现的环境与验证命令。
Its SKILL.md is about 2.8k 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/migration-checklist.md` and `scripts/check_boltz2_assets.py`).
It sits in AI & LLM Engineering. It works with 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-boltz2”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 入口层用 transfer_to_npu，把 CUDA API 自动重映射到 NPU。
- 通过 npu_adapter 做设备无关封装，替换代码中的 CUDA 硬编码。
- 对 CUDA-only kernels（cuequivariance/trifast）在 NPU 走 fallback 或 NPU 等价实现。
- 为 PyTorch Lightning 注册 npu accelerator。
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:
condapippythongitrg
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.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 Boltz2 loads about 2.8k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 369 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 369 words (~2,824 tokens).
“本 Skill 提供将 Boltz2从 CUDA 迁移到昇腾 NPU 的完整步骤。”
- name
- ai-for-science-boltz2
- keywords
- ai-for-science, boltz2, protein-structure, structure-prediction, pytorch, ascend
Files
SKILL.md and 2 other files (scripts, references) in skills/ai-for-science/models/boltz2 of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/migration-checklist.md
- scripts/check_boltz2_assets.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
AI For Science Boltz2 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 Boltz2 this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~2.8k | Automated safety check: Pass | None | |
| Esmfold2JimLiu/science-skills | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| MUSA GPU Training Optimizeropen-infra-skills/infra-skills | 141 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Benchmark TuneMesh-LLM/mesh-llm | 3.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Cuda Kernel OptimizerKernelFlow-ops/cuda-optimized-skill | 214 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Hugging Face Local Modelshuggingface/skills | 11k | 3 repos | ~945 | Automated safety check: Pass | Apache-2.0 |
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Questions about AI For Science Boltz2
What does AI For Science Boltz2 do?
Boltz2 蛋白质结构预测模型的昇腾 NPU 迁移与复现 Skill，适用于在华为 Ascend 910、910B、910C 上准备权重、适配 Lightning 和 CUDA only kernel、完成 Boltz2 端到端结构预测推理，并沉淀可复现的环境与验证命令。. AI For Science Boltz2 is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use AI For Science Boltz2?
AI For Science Boltz2 fits situations like: AI & LLM Engineering work in your project.
How do I install AI For Science Boltz2 in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltz2 -a claude-code`. Or copy the skill folder (skills/ai-for-science/models/boltz2 in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ai-for-science-boltz2 in your project. Claude Code loads it when a task matches its description.
How do I install AI For Science Boltz2 in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-boltz2 -a codex`. Or copy the skill folder (skills/ai-for-science/models/boltz2 in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ai-for-science-boltz2 in your project. Codex loads it when a task matches its description.
Can I use AI For Science Boltz2 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-boltz2 -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-boltz2, .gemini/skills/ai-for-science-boltz2, .github/skills/ai-for-science-boltz2 and .opencode/skills/ai-for-science-boltz2 in your project.
What does AI For Science Boltz2 need to run?
Going by SKILL.md and its folder, AI For Science Boltz2 needs Python for the scripts in its folder and the command-line tools its instructions call (conda, pip, python, git and rg). Our summary lists: Python 3.
Does AI For Science Boltz2 access the network?
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is AI For Science Boltz2 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 Boltz2 use?
No licence was found for AI For Science Boltz2 or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI For Science Boltz2 use?
About 2.8k tokens (SKILL.md is roughly 11k 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 242 tokens, read only when the agent opens those files.
What are the alternatives to AI For Science Boltz2?
Skills that share tags, products or a category with AI For Science Boltz2: Esmfold2 (JimLiu/science-skills, 228 stars), MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars), Benchmark Tune (Mesh-LLM/mesh-llm, 3.5k stars) and Cuda Kernel Optimizer (KernelFlow-ops/cuda-optimized-skill, 214 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 Boltz2?
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.