Autonomous multi-step deep research engine implementing an iterative Think → Search → Extract → Synthesize → Stop loop. The LLM drives every decision: what to search, what's relevant, what's missing, and when to stop. Produces a cited, magazine-quality report with inline citations, category- specific formatting, and research stats. Trigger when the user asks for "deep research", "research report on", "comprehensive analysis of", "look into X in depth", "write a report on X", or any question needing multi-source synthesis beyond a single search. For entity vetting/dossiers use entity-research; for news digests use news-monitoring; for source-grounded Q&A use notebooklm-mode.
How to install deep-research?
moonlight-lupin/agent-skills/deep-research
$npx -y skills add moonlight-lupin/agent-skills --skill deep-researchInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moonlight-lupin/agent-skills" --skill "moonlight-lupin/agent-skills/deep-research"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moonlight-lupin/agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/moonlight-lupin/agent-skills"` and select the relevant skills, then follow their instructions.
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- repo-intake-and-planRigor Intake helper for README-first deep learning repo reproduction.Jul 2026
- firecrawl-searchWeb search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find…Jul 2026
- customer-researchWhen the user wants to conduct, analyze, or synthesize customer research.Jul 2026
