research

Search academic papers and web sources for optimization techniques.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/SteeZyT33/perf-lab-plugin --skill research-steezyt33
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/SteeZyT33/perf-lab-plugin/tree/main/skills/research
Command: npx skills add https://github.com/SteeZyT33/perf-lab-plugin --skill research-steezyt33

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires search-papers.sh, fetch-papers.sh, process-papers.sh, generate-undermind-prompt.sh, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps you find and understand optimization techniques and relevant academic papers, overcoming research plateaus and informing experimental design.

Core Features & Use Cases

  • Targeted Research: Search academic papers via Semantic Scholar and preprints via ArXiv for specific optimization techniques.
  • Practical Insights: Leverage web search for blogs, documentation, and Stack Overflow to find implementation details.
  • Project-Specific Knowledge: Utilize NotebookLM for in-depth analysis of curated project documents.
  • Use Case: When stuck on a performance bottleneck, use this Skill to find papers on advanced compiler optimizations or specific CPU instruction usage, then synthesize the findings into actionable experiments.

Quick Start

Use the research skill to find papers on SIMD hash function throughput optimization.

Frequently Asked Questions about research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find academic papers for optimizing performance bottlenecks?

Find academic papers for performance bottlenecks by searching Semantic Scholar and ArXiv for specific optimization techniques, then synthesizing theoretical bounds and algorithmic improvements into actionable experiments.

What is the best way to search ArXiv and Semantic Scholar for algorithmic improvements?

Search ArXiv and Semantic Scholar for algorithmic improvements by querying specific optimization techniques, scoping results to relevant data structures, and leveraging NotebookLM to synthesize deep literature reviews.

Can I use NotebookLM to synthesize a literature review from fetched academic papers?

NotebookLM synthesizes literature reviews by performing in-depth analysis of curated project documents, transforming fetched ArXiv and Semantic Scholar papers into actionable knowledge for autonomous agents.

Does this research approach find practical implementation details from web search?

This research approach finds practical implementation details by leveraging web search to discover blogs, documentation, and Stack Overflow insights, complementing academic papers found via Semantic Scholar.

When should I use academic literature review over general web search for optimization?

Use academic literature review over general web search when overcoming research plateaus requiring deep knowledge synthesis, theoretical bounds, and advanced compiler optimizations not readily available in standard documentation.