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Use when the user wants Paper2Any-based paper-to-figure, PPT, poster, video, citation, rebuttal, DrawIO, mindmap, image, PDF-to-PPT, or KB workflows through the ScholarAIO Paper2Any MCP sidecar.
Paper2Any 是外部项目 OpenDCAI/Paper2Any。ScholarAIO 不 vendoring 它的代码和依赖；ScholarAIO 只提供一个轻量 MCP sidecar，把 agent 请求转交给真实 Paper2Any checkout 或它自己的 FastAPI 后端。
默认外部 checkout 位置：
data/runtime/extensions/paper2any/Paper2Any
一键准备外部 Paper2Any runtime：
scholaraio paper2any setup
如果用户明确要让 agent 把 upstream Python runtime 也准备好，使用：
scholaraio paper2any setup --install-runtime
这个命令会使用 OpenDCAI/Paper2Any 自己的 requirements 在 data/runtime/extensions/paper2any/.venv 中准备隔离环境；不要把依赖清单转嫁给非开发者用户。
确认 sidecar 是否可用：
scholaraio paper2any status
如果不可用，启动 ScholarAIO 轻量 MCP sidecar：
scholaraio paper2any mcp-serve
这只启动 ScholarAIO 的 MCP 代理，不会伪造 Paper2Any 结果。真实产物仍由外部 Paper2Any CLI 或 Paper2Any FastAPI 生成。
如果需要 Paper2Any FastAPI 工作流，启动真实上游 backend。上游 /api/v1/... 路由要求 BACKEND_API_KEY / X-API-Key，因此先在 config.local.yaml 写入 paper2any.backend_api_key，或设置环境变量：
export PAPER2ANY_BACKEND_API_KEY="..."
scholaraio paper2any backend-serve
npx skills add ZimoLiao/scholaraio --skill paper2anyHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.