synthesis-response-merger
Response Merger
Merge multiple LLM responses into a single, comprehensive, unified document that preserves all detail from every input.
Input
A document containing one or more prompts and their corresponding responses from one or more LLM engines. This is referred to as the prompt-response document.
Process
Step 1: Read thoroughly
Read the entire prompt-response document. Identify each distinct prompt and every response generated for it.
Step 2: Plan the merge
Before writing, produce a plan:
- How will key points from each response be integrated?
More from rajivpant/synthesis-skills
synthesis-fact-checking
Systematic fact-checking process for verifying claims in articles and blog posts, particularly those synthesized from multiple AI deep-research outputs. Use when asked to: fact-check, verify claims, verify sources, check accuracy, citation verification, review factual accuracy, validate references.
17synthesis-thinking-framework
Five-mode thinking methodology (first principles, systems thinking, complexity thinking, analogical thinking, design thinking) with a pre-response protocol for non-trivial problems. Provides the foundational reasoning approach that other synthesis skills build upon.
15synthesis-article-writing
>
14synthesis-concise-messaging
>
14synthesis-codebase-review
Enterprise-scale codebase audit methodology with tiered review system (Essential through Mission-Critical). Use when asked to: codebase review, code audit, code review, review codebase, architecture review, security audit, full code review, enterprise review, codebase health check.
14synthesis-context-lifecycle
Three-tier context architecture for managing AI working memory across long-running projects. Use when asked to: manage context, project context, session management, context lifecycle, working memory, archival, archive sessions, context maintenance, garbage collection for context, tiered context.
14