by Li-Evan · Claude Skill · ★ 263
Your Personal AI Tutor — Powered by the 2-Sigma Method From average to top 2%. One lesson at a time. 🌐 Website · Chinese · English In 1984, educational psychologist Benjamin Bloom discovered that students receiving one-on-one tutoring scored 2 standard deviations (+2σ) above the classroom average — jumping to the top 2%. Bloom called this the "2 Sigma Problem": the effect is proven, but personal tutors don't scale. Bloom solves this with AI. It generates a structured syllabus, delivers lessons one at a time, reads your annotations and feedback, then tailors t
| Stars | 263 |
| Forks | 41 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 34.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-17 |
| Created | 2026-03-10 |
| Platforms | claude-code, python |
| Est. Tokens | ~103k |
These tools work well together with Bloom for enhanced workflows:
Explore other popular claude skill tools:
Bloom is Hire a private AI tutor for anything — it reads how you actually learn and teaches the next lesson just for you. Bloom's 2-Sigma research as a Claude Code skill + self-hostable web app · 中文优先 苏格拉底式 AI. It is categorized as a Claude Skill with 263 GitHub stars.
Bloom is primarily written in JavaScript. It covers topics such as adaptive-learning, agent-skills, ai-agent.
You can find installation instructions and usage details in the Bloom GitHub repository at github.com/Li-Evan/Bloom. The project has 263 stars and 41 forks, indicating an active community.
Bloom is released under the MIT license, making it free to use and modify according to the license terms.