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Convert a research paper into structured files covering its problem, claims, concepts, experiments, and figure or table evidence. Validate the generated directory, ingest it into OpenViking, and check that the target resource was created.
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读取已保存的资料，整理为LLM Wiki中的来源、人物、组织、概念及综合见解页面，更新相互链接、索引和导入记录，并标注与现有知识的矛盾。
Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.
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Bring external materials into a project’s Obsidian knowledge base as source notes organized by material type. Update the source registry, add important sources to the index, and record arrivals during active sessions in daily notes.
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Use this skill when the user keeps paper notes inside an Obsidian project knowledge base and wants filesystem-first literature review, explicit agent-first Zotero ingestion, `Papers/` plus `Knowledge/` synthesis, collection-wide normalization, and a default literature canvas without Obsidian MCP.
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Crawl websites (news, blogs, papers, GitHub, product docs, RSS feeds) into a fixed-schema JSONL file, then create a dataset and a searchable application in Viking AI Search. Supports one-time crawl and scheduled recurring crawl with automatic incremental sync.
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Convert PDF, Office, and other documents into Markdown that preserves useful text structure. Use batch conversion and literature organization to prepare files for search, text analysis, or AI systems that retrieve information from documents.
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