Retrieve and synthesize wiki pages into citation-backed answers.
npx skills add https://github.com/duany049/multi-skill-orchestration --skill ask-duany049
Please help me install this Agent Skill. Skill: ask Source: https://github.com/duany049/multi-skill-orchestration/tree/main/.claude/skills/ask Command: npx skills add https://github.com/duany049/multi-skill-orchestration --skill ask-duany049
It turns scattered research notes into a single, evidence-based answer by retrieving relevant pages from the wiki and synthesizing them with citations.
[[slug]] pages.wiki/outputs, creates or updates wiki/concepts, updates related wiki/ideas/wiki/methods/wiki/outputs, and appends graph relationships and navigation/log updates.Ask your research question with citations by running the skill and providing a natural-language question.
High-intent search queries and answers about installing and using this skill.
You generate cited answers by retrieving relevant wiki pages from your knowledge graph and merging them into a single response. The process loads global context, ranks up to K pages, and formats key statements with citation-backed [[slug]] links.
Retrieval augmented generation for wiki research notes locates relevant pages within your knowledge graph and synthesizes an evidence-based answer. This grounds responses in existing wiki literature rather than generating unsupported claims.
Yes, you can compare literature and identify research gaps by querying the wiki with natural-language research questions. The skill synthesizes retrieved pages to highlight connections and missing elements across concepts, methods, papers, and experiments.
You crystallize research outputs by optionally writing synthesized answers back into wiki/outputs, updating related wiki/concepts, wiki/ideas, and wiki/methods, and appending graph relationships and navigation logs to maintain an evolving knowledge graph.
No external dependencies are required to answer questions from a wiki. The skill operates using built-in assets and references to rank and read pages, synthesize markdown responses, and optionally write crystallized outputs back to the knowledge graph.
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