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research-synthesizer skill

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/skills/research-synthesizer

This skill synthesizes insights from multiple research sources into cohesive analysis to inform decisions and guide investigations.

npx playbooks add skill eddiebe147/claude-settings --skill research-synthesizer

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---
name: Research Synthesizer
slug: research-synthesizer
description: Synthesize insights from multiple research sources into cohesive analysis
category: research
complexity: simple
version: "1.0.0"
author: "ID8Labs"
triggers:
  - "research synthesis"
  - "synthesize research"
  - "combine sources"
  - "research analysis"
  - "literature synthesis"
tags:
  - research
  - synthesis
  - analysis
  - sources
  - insights
---

# Research Synthesizer

Synthesize insights from multiple research sources into cohesive analysis

## When to Use This Skill

Use this skill when you need to:
- Analyze data and extract insights
- Conduct thorough investigation
- Synthesize complex information

**Not recommended for:**
- Tasks requiring creative content generation
- business operations

## Quick Reference

| Action | Command/Trigger |
|--------|-----------------|
| Create research synthesizer | `research synthesis` |
| Review and optimize | `review research synthesizer` |
| Get best practices | `research synthesizer best practices` |

## Core Workflows

### Workflow 1: Initial Research Synthesizer Creation

**Goal:** Create a high-quality research synthesizer from scratch

**Steps:**
1. **Discovery** - Understand requirements and objectives
2. **Planning** - Develop strategy and approach
3. **Execution** - Implement the plan
4. **Review** - Evaluate results and iterate
5. **Optimization** - Refine based on feedback

### Workflow 2: Advanced Research Synthesizer Optimization

**Goal:** Refine and optimize existing research synthesizer for better results

**Steps:**
1. **Research** - Gather relevant information
2. **Analysis** - Evaluate options and approaches
3. **Decision** - Choose the best path forward
4. **Implementation** - Execute with precision
5. **Measurement** - Track success metrics

## Best Practices

1. **Start with Clear Objectives**
   Define what success looks like before beginning work.

2. **Follow Industry Standards**
   Leverage proven frameworks and best practices in research.

3. **Iterate Based on Feedback**
   Continuously improve based on results and user input.

4. **Document Your Process**
   Keep track of decisions and outcomes for future reference.

5. **Focus on Quality**
   Prioritize excellence over speed, especially in early iterations.

## Checklist

Before considering your work complete:

- [ ] Objectives clearly defined and understood
- [ ] Research and discovery phase completed
- [ ] Strategy or plan documented
- [ ] Implementation matches requirements
- [ ] Quality standards met
- [ ] Stakeholders informed and aligned
- [ ] Results measured against goals
- [ ] Documentation updated
- [ ] Feedback collected
- [ ] Next steps identified

## Common Mistakes

| Mistake | Why It's Bad | Better Approach |
|---------|--------------|-----------------|
| Skipping research | Leads to misaligned solutions | Invest time in understanding context |
| Ignoring best practices | Reinventing the wheel | Study successful examples first |
| No clear metrics | Can't measure success | Define KPIs upfront |

## Integration Points

- **Tools**: Integration with common research platforms and tools
- **Workflows**: Fits into existing analysis and research workflows
- **Team**: Collaborates with research and analytics stakeholders

## Success Metrics

Track these metrics to measure effectiveness:
- Quality of output
- Time to completion
- Stakeholder satisfaction
- Impact on business goals
- Reusability of approach

---

*This skill is part of the ID8Labs Skills Marketplace. Last updated: 2026-01-07*

Overview

This skill synthesizes insights from multiple research sources into a cohesive, actionable analysis. It guides structured discovery, planning, execution, review, and optimization so teams can turn disparate evidence into clear recommendations. It is built for rigorous, evidence-based synthesis rather than creative content generation.

How this skill works

The skill inspects inputs such as research reports, datasets, interview notes, and literature to extract key themes, patterns, and contradictions. It organizes findings into a structured plan, applies evaluation criteria and metrics, and produces a consolidated analysis with recommended next steps. Iterative review and optimization steps ensure the output improves with feedback and new evidence.

When to use it

When you need to combine multiple studies, reports, or data sources into a single analysis
When defining research objectives and a repeatable synthesis process
When investigating complex problems that require triangulation across evidence
When preparing decision-ready summaries for stakeholders
When optimizing an existing research synthesis workflow for better outcomes

Best practices

Start with clear objectives and measurable success criteria (KPIs)
Use proven research frameworks and document assumptions explicitly
Collect diverse, high-quality sources and track provenance for transparency
Iterate: review outputs with stakeholders and refine based on feedback
Measure results against success metrics like quality, time-to-completion, and stakeholder satisfaction

Example use cases

Merging quantitative survey results, interview insights, and secondary research to recommend product features
Conducting a competitive landscape synthesis to guide strategic planning
Combining academic literature and operational data to inform policy or program design
Auditing an existing research synthesis process and implementing efficiency improvements
Preparing an executive brief that reconciles conflicting study findings into clear guidance

FAQ

Is this skill suitable for creative content generation?

No. It is focused on evidence synthesis and analysis rather than creative writing or marketing copy.

What inputs does the skill require?

Supply research reports, raw data, interview notes, literature references, and clear objectives; it works best when provenance and scope are defined.