個人化一對一 AI 導師，採用 Bloom 的 2-Sigma 精熟學習法。透過蘇格拉底式提問、自適應進度與豐富的視覺化輸出（HTML 儀表板、Excalidraw 概念圖、生成圖像），引導使用者學習任何主題。
此技能將 AI 助手轉變為一位個人化的一對一導師，其設計理念基於教育心理學家 Benjamin Bloom 的 2-Sigma 研究，該研究顯示個別化教學能顯著提升學習成效。它透過蘇格拉底式的提問法，引導學習者主動思考並建構知識，而非被動接收資訊。系統會根據使用者的回答內容，自動調整教學節奏與難度，確保內容始終處於「最近發展區」。為了強化理解與記憶，它還能動態生成多種視覺輔助工具，包括互動式 HTML 儀表板來展示數據或進度、使用 Excalidraw 繪製的概念關聯圖，以及由 AI 生成的示意圖。此技能支援多種觸發方式：當使用者明確表示想學習、需要教學、或說出「教我」、「我想學」、「逐步解釋」等關鍵詞，甚至直接輸入斜線指令 `/sigma` 時，都會啟動此教學模式，適用於從基礎概念到複雜技術的任何領域。
npx skills add https://github.com/sanyuan0704/code-review-expert/tree/main/skills/sigmaInstalled? Explore more 影像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
個人化一對一 AI 導師，採用 Bloom 的 2-Sigma 精熟學習法。透過蘇格拉底式提問、自適應進度與豐富的視覺化輸出（HTML 儀表板、Excalidraw 概念圖、生成圖像），引導使用者學習任何主題。當使用者想學習某事物、研究主題、理解概念、要求家教、說出「教我」、「我想學」、「逐步解釋 X 給我聽」、「幫我理解」，或輸入 /sigma 時使用。觸發條件：learn、study、teach、tutor、understand、master、explain step by step。
This repo contains 2 individual skills — each has its own dedicated page.
Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.
Create high-quality, production-grade skills for Claude Code. Expert guidance on skill architecture, workflow design, prompt engineering, and packaging. Use when user wants to create a new skill, build a skill, design a skill, write a skill, update an existing skill, improve a skill, refactor a skill, debug a skill, or package a skill. Triggers: 'create skill', 'build skill', 'new skill', 'skill creation', 'write a skill', 'make a skill', 'design a skill', 'improve skill', 'package skill', 'skill development', 'skill template', 'skill best practices', 'write SKILL.md'.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.