research-skills

🥈Silver

Research Skills automates literature reviews and other research tasks. Researchers and operations teams use it to streamline workflows. Connects to Claude for AI-powered research assistance.

514240Updated 2w ago

Intermediate30min to implementautomation

Saves ~150 min per use

Quick InstallView Source

git clone https://github.com/luwill/research-skills.git

Works with:

Claude

Overview

About This Skill

Research Skills automates literature reviews and other research tasks. Researchers and operations teams use it to streamline workflows. Connects to Claude for AI-powered research assistance.

How to Use

[{"step":"Define Scope and Keywords","action":"Use the prompt template to replace [TOPIC] with your research question (e.g., 'Impact of AI on customer service efficiency'). Replace [DATABASES] with specific sources (e.g., 'PubMed, JSTOR, arXiv'). Set [TIME_FRAME] to 5 years or your preferred range. For precision, add 3-5 key terms under 'Focus on identifying' to guide the AI.","tip":"Narrow your topic to avoid overwhelming results. For example, instead of 'AI in healthcare,' try 'Impact of generative AI on radiology diagnostics.' Use tools like Google Scholar’s advanced search to validate your keywords before finalizing."},{"step":"Run the Initial Search","action":"Paste the customized prompt into Claude or ChatGPT. Request the AI to provide a preliminary list of 10-15 sources with titles, authors, and publication years. Ask for a summary of each source’s methodology and key findings to quickly assess relevance.","tip":"If the AI misses niche databases, manually cross-check results using tools like ResearchGate or Semantic Scholar. For systematic reviews, use PRISMA guidelines to ensure coverage."},{"step":"Refine and Expand","action":"Ask the AI to filter results by citation count, publication date, or methodology (e.g., 'Only include studies with n>500 participants'). Request a comparison table of the top 5 studies, highlighting contradictions or complementary findings. Add a section on 'Emerging Trends' by asking for recent preprints or conference papers.","tip":"Use the AI to identify 'snowballing' opportunities by asking, 'Which papers cited [Seminal Paper X]?' This helps uncover newer research building on foundational work."},{"step":"Synthesize and Validate","action":"Request the AI to draft a structured report with sections for methodology, findings, and gaps. Cross-validate critical claims by asking the AI to retrieve full-text PDFs (if available) or summaries of 3-5 key papers. Use the AI to generate a 'Limitations' section by analyzing potential biases in the sources.","tip":"For high-stakes research, manually verify 2-3 key statistics or claims by checking the original papers. Tools like Zotero or Mendeley can help organize sources and highlight discrepancies."},{"step":"Export and Iterate","action":"Export the final report in your preferred format (e.g., Word, PDF). Use the AI to generate follow-up prompts for deeper dives, such as 'What are the ethical implications of [Finding X]?' or 'How do these findings apply to [Industry Y]?'","tip":"Save the prompt template and refine it over time. For recurring topics, create a library of saved prompts in tools like Notion or Obsidian for quick reuse."}]

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/luwill/research-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Conduct a comprehensive literature review on [TOPIC] using the latest peer-reviewed sources from [DATABASES] published within the last [TIME_FRAME] years. Focus on identifying: (1) key themes and trends, (2) contradictory findings, and (3) gaps in the current research. Organize results into a structured report with sections for methodology, findings, and recommendations for future research. Prioritize sources with high citation counts and recent publication dates. Include direct quotes from 3-5 seminal papers to support critical points.

Example Output

### Literature Review: Impact of Remote Work on Employee Productivity (2020-2024)

**Methodology:**
This review analyzed 47 peer-reviewed studies from PubMed, IEEE Xplore, and Google Scholar, focusing on empirical research published between 2020-2024. Studies were filtered for relevance using keywords like "remote work," "telecommuting," and "productivity metrics." The final dataset included 23 quantitative studies, 15 qualitative studies, and 9 mixed-methods papers. Citation counts were verified via Google Scholar, with a minimum threshold of 10 citations for inclusion.

**Key Findings:**
1. **Productivity Trends:**
   - A 2023 meta-analysis of 15 studies (n=12,450) by Smith et al. (2023) found a 7% average increase in productivity for fully remote workers compared to hybrid workers, contradicting earlier 2020-2021 studies that reported a 3-5% decline (Johnson & Lee, 2020). The discrepancy was attributed to improved digital collaboration tools in later studies.
   - Qualitative interviews with 120 employees (Garcia et al., 2022) revealed that remote workers in creative fields (e.g., design, writing) reported 12% higher job satisfaction but 8% lower collaborative output, suggesting role-specific impacts.

2. **Contradictory Findings:**
   - While most studies (83%) reported no significant difference in productivity between remote and in-office workers, a 2024 study by Chen & Patel (2024) found a 15% drop in productivity for workers with children under 10, attributed to "double-shift" dynamics. This contrasts with a 2021 study by Brown et al. (2021), which showed no such effect, likely due to smaller sample sizes (n=200 vs. n=2,100 in 2024).

3. **Research Gaps:**
   - Only 3 studies examined the long-term (3+ years) impact of remote work on career progression, with mixed results. No studies addressed the intersection of remote work and neurodiversity, despite anecdotal evidence suggesting benefits for ADHD and autism spectrum workers.

**Recommendations for Future Research:**
- Conduct longitudinal studies (>5 years) on career trajectories of remote workers.
- Investigate the role of organizational culture in mitigating or exacerbating remote work productivity challenges.
- Explore the impact of AI-driven productivity tools (e.g., Copilot, Notion AI) on remote work outcomes.

**Top 3 Cited Sources:**
1. Smith, A., et al. (2023). "The Remote Work Paradox: Productivity in the Digital Age." *Journal of Applied Psychology*, 108(4), 567-589. (Cited 142 times)
   - Quote: "Our findings suggest that remote work productivity is highly context-dependent, with digital infrastructure acting as a moderating variable."

2. Johnson, B., & Lee, C. (2020). "Telecommuting and Work Output: A Longitudinal Analysis." *Harvard Business Review*, 98(6), 112-125. (Cited 89 times)
   - Quote: "Early pandemic-era studies may have overestimated the negative impacts of remote work due to unprecedented stress levels."

3. Garcia, M., et al. (2022). "Qualitative Insights into Remote Work Satisfaction." *MIT Sloan Management Review*, 63(3), 45-60. (Cited 67 times)
   - Quote: "Creative professionals thrive in remote settings but struggle with cross-functional collaboration, indicating a need for hybrid models."