Generate structured summaries from research drafts with key evidence and sources.
npx skills add https://github.com/Bhuvansai-16/MAIRA --skill summary-agent
Please help me install this Agent Skill. Skill: summary-agent Source: https://github.com/Bhuvansai-16/MAIRA/tree/main/backend/skills/summary-agent Command: npx skills add https://github.com/Bhuvansai-16/MAIRA --skill summary-agent
This Skill condenses lengthy research drafts into a concise, structured summary, making complex findings easily digestible for end-users.
Summarize the following verified research draft on quantum computing: The latest advancements in quantum entanglement and its applications in secure communication.
High-intent search queries and answers about installing and using this skill.
To distill research drafts into a concise summary, this Skill processes verified content and outputs a three-paragraph overview, key evidence bullet points, and a source list. It relies entirely on internal model reasoning to condense findings without external dependencies.
The best way to structure research findings is using a three-paragraph overview followed by 5-7 key evidence bullet points and a clean source list. This format ensures complex findings are easily digestible for end-users.
Yes, you can summarize a scientific research draft without external tool dependencies. This Skill operates as a pure reasoning agent, relying solely on its internal model to process and condense verified draft content.
You need to generate a structured summary for a research report after draft verification and before final report generation. This ensures the summary integrates seamlessly into the overall research output.
A research summary includes 5-7 key evidence bullet points extracted from the detailed draft. These bullet points highlight the core supporting evidence alongside a three-paragraph findings overview.
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