Ako4all
TongmingLAIC/AKO4ALL
Drive an agentic loop that iteratively optimizes a GPU kernel for maximum speedup.
OligoFormer 昇腾 NPU 迁移 Skill，适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU，覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。
Install AI For Science Oligoformer
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-oligoformer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-oligoformer --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/oligoformer .claude/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .claude/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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/oligoformerType 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-oligoformer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-oligoformer --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/oligoformer .agents/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .agents/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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-oligoformer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-oligoformer --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/oligoformer .cursor/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .cursor/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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/oligoformer--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-oligoformer -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-oligoformer --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/oligoformer .gemini/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .gemini/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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-oligoformerInstalls 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-oligoformer -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/oligoformer .github/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .github/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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-oligoformer -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-oligoformer --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/oligoformer .opencode/skills/ai-for-science-oligoformer && 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-oligoformer" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/models/oligoformer into .opencode/skills/ai-for-science-oligoformer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-oligoformer", 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-oligoformer- GitHub stars
- 174
- Token cost
- ~1.3k tokens
- SKILL.md length
- 252 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
OligoFormer 昇腾 NPU 迁移 Skill，适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU，覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。
- Works in 9 steps: 环境初始化与 CANN 配置 → 克隆仓库 → 创建 conda 环境并安装依赖 → …
- Tasks that involve Deep learning
- SKILL.md covers 前置条件, 迁移流程, 配套脚本 and 参考资料
- Runs Python scripts from its folder; calls python, pip and conda; reaches repo.huaweicloud.com and github.com
What it does
AI For Science Oligoformer is an agent skill from ascend-ai-coding/awesome-ascend-skills. OligoFormer 昇腾 NPU 迁移 Skill，适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU，覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。
Its SKILL.md is about 1.3k 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/rna-fm-integration.md` and `scripts/validate_oligoformer_env.py`).
It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch, Python 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
- Tasks that involve Deep learning
Example prompts
- “/ai-for-science-oligoformer”
Requirements
- Python 3
Workflow steps
9 steps, taken from the step headings in SKILL.md.
- 环境初始化与 CANN 配置
- 克隆仓库
- 创建 conda 环境并安装依赖
- 安装 RNA-FM 依赖
- 验证 torch_npu 可用
- 代码适配
- 适配说明
- 验证
- 修改文件清单
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:
pythonpipcondagitwgetbash
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.comgithub.comcloud.tsinghua.edu.cn
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 Oligoformer loads about 1.3k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 252 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 252 words (~1,332 tokens).
“本 Skill 提供将 OligoFormer（siRNA 效能预测模型）从 CUDA 迁移到昇腾 NPU 的完整步骤。 项目地址：https://github.com/lulab/OligoFormer.git”
- name
- ai-for-science-oligoformer
- keywords
- ai-for-science, oligoformer, sirna, rna-fm, pytorch, ascend
Files
SKILL.md and 2 other files (scripts, references) in skills/ai-for-science/models/oligoformer of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/rna-fm-integration.md
- scripts/validate_oligoformer_env.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
AI For Science Oligoformer 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 Oligoformer this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~1.3k | Automated safety check: Pass | None | |
| Ako4allTongmingLAIC/AKO4ALL | 369 | — | ~4k | Automated safety check: Pass | MIT | |
| Paddle Op DevPaddlePaddle/Paddle | 24k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Fix Envevo-design/proto-tools | 135 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Migrate Workflow Ec2 To Osdcpytorch/test-infra | 113 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Quark Env Preflightamd/Quark | 182 | — | ~1.4k | Automated safety check: Pass | MIT |
Similar skills
Paddle Op Dev
PaddlePaddle/Paddle
PaddlePaddle (飞桨) C++ 算子开发指南。提供从 YAML 配置、InferMeta 函数、Kernel 实现、Python API 封装、单元测试到编译验证的完整算子开发流程指导。在以下场景使用此 skill：(1) 为 Paddle 框架新增 C++ 算子 (2) 修改或调试已有 Paddle 算子 (3) 编写算子的 YAML…
Fix Env
evo-design/proto-tools
Fixes tool environment setup failures in proto-tools, either just for the current machine (eject the tool's standalone dir, patch it, and point PROTO<TOOLKITSTANDALONEDIR at it; works for any…
Migrate Workflow Ec2 To Osdc
pytorch/test-infra
Step-by-step playbook for migrating a pytorch/pytorch .github/workflows/.yml from EC2 to OSDC (ARC) runners — covers both dial-up and 100% opt-in patterns, with the inputs that must be plumbed…
Quark Env Preflight
amd/Quark
Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning.
Magpie Kernel Evaluator
amd/skills
Benchmarks LLM inference and drives GPU kernel optimization with Magpie.
More from ascend-ai-coding/awesome-ascend-skills
All 70 skills in this repoAscend Dmi
ascend-ai-coding/awesome-ascend-skills
当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景： - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽（h2d/d2h/d2d/p2p） - 跑算力/功耗基准测试（TFLOPS、TOPS） - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试（aicore、内存） - 复位/恢复卡住或异常的 NPU 卡 典型用户问题（即使不提…
Ascendc
ascend-ai-coding/awesome-ascend-skills
End-to-end AscendC custom operator development for Ascend NPU in an ascend-kernel (csrc/ops + build.sh + torchnpu PyTorch custom op) project.
Atc Model Converter
ascend-ai-coding/awesome-ascend-skills
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.
External Cannbot Ops Pypto Op Develop
ascend-ai-coding/awesome-ascend-skills
当需要编写 PyPTO 算子实现时使用此 skill。基于需求规格、设计方案和参考实现，生成完整可运行的 PyPTO 算子实现与配套测试、文档。Triggers: 实现算子、写 kernel、编写实现、写 impl、算子编码、开始编码、code the op、写 test、生成测试、写实现代码、op develop、kernel 实现。
External Gitcode Ascend Megatron Change Analyzer
ascend-ai-coding/awesome-ascend-skills
Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events.
External Gitcode Ascend Megatron Commit Tracker
ascend-ai-coding/awesome-ascend-skills
Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window.
Related
Categories
Questions about AI For Science Oligoformer
What does AI For Science Oligoformer do?
OligoFormer 昇腾 NPU 迁移 Skill，适用于将基于 PyTorch Transformer 的 siRNA 效能预测模型迁移到华为 Ascend NPU，覆盖环境搭建、RNA-FM 依赖安装、代码适配、推理验证与可选训练流程。. AI For Science Oligoformer is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use AI For Science Oligoformer?
AI For Science Oligoformer fits situations like: tasks that involve Deep learning.
How do I install AI For Science Oligoformer in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-oligoformer -a claude-code`. Or copy the skill folder (skills/ai-for-science/models/oligoformer in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ai-for-science-oligoformer in your project. Claude Code loads it when a task matches its description.
How do I install AI For Science Oligoformer in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-oligoformer -a codex`. Or copy the skill folder (skills/ai-for-science/models/oligoformer in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ai-for-science-oligoformer in your project. Codex loads it when a task matches its description.
Can I use AI For Science Oligoformer 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-oligoformer -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-oligoformer, .gemini/skills/ai-for-science-oligoformer, .github/skills/ai-for-science-oligoformer and .opencode/skills/ai-for-science-oligoformer in your project.
What does AI For Science Oligoformer need to run?
Going by SKILL.md and its folder, AI For Science Oligoformer needs Python for the scripts in its folder and the command-line tools its instructions call (python, pip, conda, git, wget and bash). Our summary lists: Python 3.
Does AI For Science Oligoformer access the network?
SKILL.md names 3 domains. In commands or code: repo.huaweicloud.com, github.com and cloud.tsinghua.edu.cn; 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 Oligoformer 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 Oligoformer use?
No licence was found for AI For Science Oligoformer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI For Science Oligoformer use?
About 1.3k tokens (SKILL.md is roughly 5.3k 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 147 tokens, read only when the agent opens those files.
What are the alternatives to AI For Science Oligoformer?
Skills that share tags, products or a category with AI For Science Oligoformer: Ako4all (TongmingLAIC/AKO4ALL, 369 stars), Paddle Op Dev (PaddlePaddle/Paddle, 24k stars), Fix Env (evo-design/proto-tools, 135 stars) and Migrate Workflow Ec2 To Osdc (pytorch/test-infra, 113 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 Oligoformer?
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.