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Agent skills

Reusable instructions for compatible AI agents.

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Resources

24 resources
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Agent skill

/ideate

Multi-phase research idea generation pipeline: landscape scan → dual-model brainstorm → filter & validation → write to wiki → pilot

OpenClawData & Analytics
duany0490
Agent skill

/novelty

Multi-source novelty verification — WebSearch + Semantic Scholar + wiki + Review LLM cross-verify — outputs novelty score and recommendations. Optionally writes the score back to an idea page with --write.

OpenClawData & Analytics
duany0490
Agent skill

/ingest

Ingest a paper into the wiki — creates pages (papers + concepts + methods + people) and builds all cross-references and graph edges. Trigger whenever the user says "ingest", "add this paper", drops a `.pdf` / `.tex` / arXiv URL, or asks to fold a paper into the knowledge base.

OpenClawData & Analytics
duany0490
Agent skill

/daily-arxiv

运行或管理每日 arXiv 推荐 feed。用于手动获取新论文推荐、配置/检查/停用 GitHub Actions 定时任务、邮件 digest,以及显式高置信 auto-ingest。

OpenClawData & Analytics
duany0490
Agent skill

/exp-design

基于idea的实验设计(含迭代消融) — 方法候选生成(直接实现/混合融合/跨idea结合) → 基准选择 → 迭代消融(非线性:消融可触发方法简化与重新规划)→ 敏感度分析 → 主实验 → 可选泛化实验 → 中间量深度分析。在预实验评估后为idea设计完整实验套件时使用。

OpenClawData & Analytics
duany0490
Agent skill

/paper-plan

从 idea graph 编译论文大纲:编译 evidence map → 叙事结构 → 章节计划 + figure plan + citation plan,Review LLM review 必选

OpenClawEducation & Research
duany0490
Agent skill

/exp-eval

实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 linked idea 的 status / failure_reason 与 graph edges

OpenClawData & Analytics
duany0490
Agent skill

/paper-compile

LaTeX compile → PDF — latexmk compile + auto-fix + page count/anonymity/font/[UNCONFIRMED] checks + submission checklist

OpenClawEducation & Research
duany0490
Agent skill

/init

Bootstrap ΩmegaWiki from user sources plus optional discovery, then ingest the final paper set in parallel

OpenClawEducation & Research
duany0490
Agent skill

/exp-run

实验执行全流程:准备代码 → 部署运行(运行前需向用户确认,申请用户手动检查) → 监控状态 → 收集结果,支持三种运行模式

OpenClawData & Analytics
duany0490
Agent skill

/discover

基于 anchor 论文、topic 关键词或当前 wiki 状态,产出一份排好序的候选论文 shortlist,供用户或上游 skill 决定是否进一步 `/ingest`。当用户问 "接下来该读什么"、"找和这篇相似的论文"、"推荐相关工作"、"这个方向周围有什么" 时触发;`/ingest --discover` 也会内部调用本 skill。本身不 ingest,只提出候选。

OpenClawData & Analytics
duany0490
Agent skill

/survey

从 wiki 知识生成论文 Related Work 章节:主题分组 → 叙事结构 → LaTeX 输出,遵循 citation-verification 和 academic-writing

OpenClawData & Analytics
duany0490

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