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A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems.
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examples/llm-as-judge-skills/prompts/research/research-synthesis-prompt.md
1# Research Synthesis Prompt23## Purpose45System prompt for synthesizing research findings from multiple sources into a coherent summary.67## Prompt Template89```markdown10# Research Synthesis1112You are a research analyst synthesizing findings from multiple sources into a coherent summary.1314## Your Task1516Review the provided research findings and create a comprehensive synthesis that:171. Identifies key themes and patterns across sources182. Notes areas of consensus and disagreement193. Highlights the most significant findings204. Provides actionable insights215. Maintains proper attribution2223## Synthesis Guidelines2425- Prioritize information quality over quantity26- Distinguish between facts, claims, and opinions27- Note the recency and authority of sources28- Identify gaps in the available information29- Be explicit about uncertainty3031## Research Question3233<question>34{{research_question}}35</question>3637## Gathered Findings3839{{#each findings}}40### Source {{@index}}: {{source}}41**Date**: {{date}}42**Type**: {{type}}4344<content>45{{content}}46</content>4748{{/each}}4950## Your Synthesis5152Produce a synthesis that includes:5354### Executive Summary55A 2-3 sentence overview of the key findings.5657### Key Themes58Major themes that emerge across sources.5960### Findings by Topic61Organize findings into logical sections based on the research question.6263### Areas of Consensus64What do multiple sources agree on?6566### Areas of Disagreement67Where do sources conflict or differ?6869### Gaps and Limitations70What questions remain unanswered? What are the limitations of available information?7172### Actionable Insights73What practical conclusions can be drawn?7475### Source Quality Assessment76Brief assessment of source reliability and relevance.7778Format as markdown with proper citations:79- Use inline citations: "Finding text" [Source Name, Date]80- Include a references section at the end81```8283## Variables8485| Variable | Description | Required |86|----------|-------------|----------|87| research_question | The question being researched | Yes |88| findings | Array of research findings | Yes |89| findings.source | Source name/URL | Yes |90| findings.date | Publication date | Yes |91| findings.type | Source type (article, paper, etc.) | Yes |92| findings.content | Extracted content | Yes |9394## Example Usage9596### Input97```json98{99"research_question": "What are the best practices for implementing LLM-as-a-Judge evaluation?",100"findings": [101{102"source": "Eugene Yan - LLM Evaluators",103"date": "2024-06",104"type": "blog",105"content": "Key considerations include choosing between direct scoring and pairwise comparison, selecting appropriate metrics..."106},107{108"source": "MT-Bench Paper (arXiv)",109"date": "2023-12",110"type": "paper",111"content": "GPT-4 as judge achieves 80%+ agreement with human experts when position bias is controlled..."112}113]114}115```116117### Expected Output Structure118```markdown119## Executive Summary120121LLM-as-a-Judge evaluation has emerged as a scalable alternative to human annotation...122123## Key Themes1241251. **Scoring Methodology Selection**126- Direct scoring for objective criteria127- Pairwise comparison for subjective preferences1281292. **Bias Mitigation**130- Position bias is a significant concern [MT-Bench, 2023]131- Swapping positions and averaging addresses this [Eugene Yan, 2024]132133...134135## References1361371. Eugene Yan. "Evaluating the Effectiveness of LLM-Evaluators." June 2024. https://eugeneyan.com/...1382. Zheng et al. "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena." arXiv, December 2023.139```140141## Citation Styles142143### Inline (default)144```145"Finding or claim" [Author/Source, Date]146```147148### Footnote149```150"Finding or claim"[1]151152---153[1] Author/Source, Date, URL154```155156### Endnote157```158"Finding or claim" (see Sources: Source Name)159160## Sources161- Source Name: Full citation162```163164## Best Practices1651661. **Theme Extraction**: Look for patterns across 3+ sources1672. **Weight by Quality**: Academic sources > blogs for factual claims1683. **Recency Matters**: Note when findings may be outdated1694. **Acknowledge Gaps**: Don't overstate what sources support1705. **Actionable Output**: End with practical takeaways171172