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When the user wants to research academic papers → search ArXiv, extract PDFs, summarize/review/Q&A, generate experiment code.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
When prompt, tool, or agent logic changes need regression testing → run eval benchmarks to detect regressions or improvements.
When a task can be parallelized (bulk code review, multi-module refactor, batch analysis) → split into subtasks running in isolated git worktrees via multiple workers.
When you need to interact with web pages using the user's logged-in browser → control Chrome via @playwright/cli daemon, reusing cookies/session with persistent tabs.
When user needs AnyGenIO content generation → unified CLI for task execution with progressive disclosure.
When you need to persist files (reports, docs, evidence) beyond the session → create/query/delete durable artifacts.
When the user wants text-to-speech audio → generate voice files locally (macOS say + afconvert, outputs m4a).
| name | openseed |
| description | When the user wants to research academic papers → search ArXiv, extract PDFs, summarize/review/Q&A, generate experiment code. |
| triggers | {"intent_patterns":["openseed|论文|paper|arxiv|学术|research.*paper|文献|调研.*论文|survey","最新.*研究|latest.*research|state.*of.*art|SOTA","引用.*论文|cite.*paper|参考文献|bibliography|reference","读.*论文|read.*paper|论文.*摘要|abstract|论文.*总结","对比.*论文|compare.*papers|文献.*综述|literature.*review","实验.*复现|reproduce|代码.*实现|implementation","这篇.*论文|this.*paper|帮我找.*paper|search.*paper"],"context_signals":{"keywords":["openseed","paper","arxiv","论文","文献","survey","research","SOTA","引用","摘要","综述","复现","实验"]},"confidence_threshold":0.65} |
| priority | 9 |
| requires_tools | ["bash"] |
| max_tokens | 200 |
| cooldown | 30 |
| capabilities | ["research","paper_search","summarization","analysis"] |
| activation_mode | explicit |
| output | {"format":"markdown","artifacts":false} |
AI-powered research CLI — 论文检索、摘要、评审、问答、实验代码生成。
openseed paper search "diffusion models"openseed agent search "multi-agent systems"openseed agent pipeline "ViT image classification"openseed agent summarize <id> / openseed agent review <id>openseed agent ask "What is RLHF?"openseed agent codegen <id># 搜索论文（按引用数排序）
openseed paper search "attention" --count 20
# 添加论文到本地库
openseed paper add https://arxiv.org/abs/1706.03762
# AI 摘要（支持 --cn 中文）
openseed agent summarize <id>
# 研究问答
openseed agent ask "What is RLHF?"
# 一键调研流水线
openseed agent pipeline "ViT image classification"
pip install openseedANTHROPIC_API_KEY 或 claude setup-tokenopenseed doctor 检查环境，openseed setup 配置认证