research-to-practice

Research to Practice

Overview

Bridge the gap between academic research and practical workflow improvements.

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When to Use

Use this skill when:

• You discover a relevant academic paper and want to apply its insights
• You need to optimize existing workflows based on research findings
• You want to systematically extract actionable ideas from research
• Current methods show limitations that research might address

Typical scenarios:

• Reading ML/NLP papers for agent system improvements
• Finding optimization techniques for knowledge management
• Applying human-computer interaction research to UI/UX workflows
• Leveraging cognitive science for better user interactions

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Prerequisites

• Access to paper (URL, PDF, or bibliographic information)
• Understanding of current workspace workflows
• Knowledge of which systems/components might benefit
• Optional: specific pain points or optimization targets in mind

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Workflow

Step 1: Paper Acquisition & Initial Assessment

Goal: Obtain and understand the paper's core contribution

Actions:

1. Fetch paper content via URL or search for it
2. Identify: Title, authors, venue, year
3. Extract abstract and key claims
4. Determine: Is this relevant to our workflows?

Decision Point:

• If paper is not accessible or not relevant → Stop and report
• If paper is accessible and relevant → Continue to Step 2

Output Format:

## Paper Overview
- **Title**: [paper title]
- **Authors**: [authors]
- **Venue**: [conference/journal]
- **Year**: [year]
- **Core Contribution**: [1-2 sentence summary]
- **Relevance Score**: [High/Medium/Low] - [reasoning]

Step 2: Deep Reading & Insight Extraction

Goal: Extract specific techniques, insights, and principles

Actions:

1. Read methodology section → What did they do?
2. Read results section → What did they achieve?
3. Identify novel techniques or approaches
4. Note any ablation studies (what matters most?)
5. Extract key equations, algorithms, or frameworks