Agent skill · Workflow & Productivity

research-to-practice

Transform academic research insights into practical workflow optimizations

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-to-practice --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Version: 1.0
Declared author: agent
Path: skills/analysis/research-to-practice/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research to Practice Bridge the gap between academic research and practical workflow improvements. --- ## 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 --- ## 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 --- ## 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:

What's inside
Steps it walks through
  1. When to Use
  2. Prerequisites
  3. Workflow
  4. Step 1: Paper Acquisition & Initial Assessment
  5. Step 2: Deep Reading & Insight Extraction
  6. Step 3: Current Workflow Analysis
  7. Step 4: Optimization Proposal Generation
  8. Step 5: Implementation Planning
  9. Step 6: Validation & Documentation
  10. Best Practices
  11. Do's
  12. Don'ts
  13. Quality Checks
  14. Common Issues
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the research-to-practice skill do?

Transform academic research insights into practical workflow optimizations

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-to-practice --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going