Query local ~/.topos notes and academic MCPs in parallel for multi-source research.
npx skills add https://github.com/plurigrid/asi --skill depth-search
Please help me install this Agent Skill. Skill: depth-search Source: https://github.com/plurigrid/asi/tree/main/skills/depth-search Command: npx skills add https://github.com/plurigrid/asi --skill depth-search
This Skill enables deep multi-source research by integrating academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and a local ~/.topos knowledge base. It is designed for comprehensive research that requires pulling data from multiple sources while leveraging cached local notes. It explicitly avoids using generic web search fallback and instead prompts you for context when sources are exhausted.
depth-search for "world models for LLMs" using ~/.topos, arxiv, semantic-scholar, paper-search, and deepwiki; if nothing is found, ask for a link or more context.
High-intent search queries and answers about installing and using this skill.
Comprehensive multi-source research queries local knowledge bases and academic MCPs—arxiv, semantic-scholar, paper-search, and deepwiki—in parallel. depth-search orchestrates these sources synchronously, prioritizing cached local notes in ~/.topos before consulting external databases, then prompts for context if sources are exhausted.
Yes. depth-search integrates a local ~/.topos knowledge base with four academic MCPs and Exa semantic search. Local files are queried first using glob and grep, ensuring cached notes are consulted before external sources, maximizing efficiency and consistency across your research.
depth-search automates literature review by orchestrating parallel queries to arxiv, semantic-scholar, paper-search, and deepwiki alongside Exa semantic search. This multi-source synthesis pulls diverse perspectives simultaneously, reducing manual source-hopping and enabling comprehensive cross-source analysis.
Local knowledge-first caching prioritizes ~/.topos notes before querying external academic MCPs. depth-search checks cached local data first using glob and grep, reducing redundant external queries, speeding results, and maintaining consistency by referencing existing research context before consulting new sources.
Yes. depth-search is designed for in-depth investigations requiring synthesis across ~/.topos, arxiv, semantic-scholar, paper-search, deepwiki, and Exa. Parallel subagent orchestration queries all sources simultaneously, then prompts you for additional context if initial sources don't fully answer your query.
When arxiv, semantic-scholar, paper-search, deepwiki, and Exa return insufficient results, depth-search explicitly prompts you for a relevant link or additional context rather than falling back to generic web search, ensuring research quality remains high and aligned with academic sources.
gabfssilvaSearch academic databases and download PDFs into a structured vault.
Agents4Academia-AISynthesize research notes and source documents into structured Markdown pages.
goupup-aiSearch, filter, and summarize academic papers across multiple sources.
WanLanglinSearch web and academic sources, saving queries and citations to sources/.
