Deep Research Synthesizer
Conduct comprehensive multi-source research and synthesize findings into cohesive reports, leveraging Opus 4.5s advanced reasoning for complex information retrieval and analysis.
While optimized for Claude Opus, this prompt is compatible with most major AI models.
Performs comprehensive analysis on documents, extracting key insights, hidden assumptions, real-world applications, and actionable takeaways beyond surface-level summaries.
Surface-level summarization wastes Claude's capabilities. This prompt gained traction among researchers and analysts who needed more than bullet points. The structure forces extraction of hidden assumptions (what the author takes for granted), practical applications (how to use the insights), and critical gaps (what the document fails to address). Particularly effective with Claude's large context window for processing lengthy academic papers or technical documentation.
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Conduct comprehensive multi-source research and synthesize findings into cohesive reports, leveraging Opus 4.5s advanced reasoning for complex information retrieval and analysis.
Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI assistants. Follow best practices for tool design, security, and cross-platform compatibility.
Navigate complex decisions with competing priorities using Opus 4.5s ability to handle ambiguity and reason about tradeoffs without hand-holding.
Synthesizes arguments from multiple documents, identifying consensus points, contradictions, and areas of contention across sources.
Structures complex decisions using proven frameworks like weighted matrices, pre-mortem analysis, and second-order thinking.
Provides contrarian perspectives and challenges assumptions to stress-test ideas, plans, and decisions before committing.
Performs comprehensive SWOT analysis based on company information and market data, providing specific and actionable points for strategic planning.