从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。
| Publisher | bosprimigenious |
| Repository | autoresearch-skills |
| Skill name | autoresearch-optimization-surface |
| Stars | 57 |
| Forks | 6 |
| Bundled files | 4 |
| License | MIT |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Published by bosprimigenious on GitHub. Read the source before you install it.
Install the Autoresearch Optimization Surface AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-optimization-surfaceAny agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
git clone --depth 1 https://github.com/bosprimigenious/autoresearch-skills.git /tmp/autoresearch-skills
mkdir -p .claude/skills
cp -r /tmp/autoresearch-skills/skills/autoresearch-optimization-surface .claude/skills/autoresearch-optimization-surfaceEnable Autoresearch Optimization Surface in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.
AI skills are plain Markdown instructions rather than provider-specific code, so Autoresearch Optimization Surface is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
阅读 selection-gates.md，并对每个候选给出代码入口、Baseline、可改方法族、主指标、质量门、成本和证据来源。
优先选择能够修改算法或计算图、可由固定接口承载、能用成对实验复算的方向。单纯学习率、epoch、阈值或常量搜索不作为方法级优化面；只有当题目开放了产生新方法的实现接口时，参数可以是方法的一部分。
先用最小真实实验验证：Baseline 正常、Reference 有稳定正向改善、质量门不过拟合单一 seed、逐条件代价在预算内。任何一项不成立就换方向，不用长轨迹掩盖不可行题目。
最终输出一个推荐方向和最多两个备选；推荐必须说明为什么它比备选更安全，以及失败时的退出条件。
The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.
从论文、代码和评测资源中筛选 AutoResearch 优化面，排除纯调参、不可隔离、不可复算或收益不足的方向，并产出可验证题目合同。用于选优化面和更换失败方向。
Because you install it once and use it with any model. Autoresearch Optimization Surface is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bosprimigenious/autoresearch-skills/tree/main/skills/autoresearch-optimization-surface. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.
Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.
As many as you like. As long as a model supports skills, you can use Autoresearch Optimization Surface with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Yes. It is published on GitHub by bosprimigenious under the MIT license. You only pay your own AI provider for the tokens you use.
An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.
A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.
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