How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings explores This research benchmarks LLM agent skill usage in realistic settings and proposes refinement strategies to improve performance, with code available.. Commercial viability score: 7/10 in LLM Agents.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
References are not available from the internal index yet.
High Potential
1/4 signals
Quick Build
3/4 signals
Series A Potential
4/4 signals
Sources used for this analysis
arXiv Paper
Full-text PDF analysis of the research paper
GitHub Repository
Code availability, stars, and contributor activity
Citation Network
Semantic Scholar citations and co-citation patterns
Community Predictions
Crowd-sourced unicorn probability assessments
Analysis model: GPT-4o · Last scored: 4/7/2026
Explore the full citation network and related research.
7-day free trial. Cancel anytime.
Understand the commercial significance and market impact.
7-day free trial. Cancel anytime.
Get detailed profiles of the research team.
7-day free trial. Cancel anytime.