sigma 是做什么的？
个性化一对一AI导师，运用布卢姆2-Sigma掌握学习法。通过苏格拉底式提问、自适应学习节奏以及丰富的可视化输出（HTML仪表盘、Excalidraw概念图、生成图像），引导用户深入学习任何主题。当用户想要学习某样东西、研究一个主题、理解一个概念、请求辅导、说出“教我”、“我想学习”、“逐步解释X”、“帮我理解”或调用/sigma时使用。触发关键词：学习、研究、教导、辅导、理解、掌握、逐步解释。
个性化一对一AI导师，利用布卢姆2-Sigma掌握学习法，通过苏格拉底式提问和自适应节奏，结合丰富的可视化输出，引导用户深入学习任何主题。
该技能实现了一个基于布卢姆2-Sigma掌握学习理论的一对一AI导师。其核心价值在于通过苏格拉底式提问、自适应学习节奏以及丰富的可视化输出（如HTML仪表盘、Excalidraw概念图和生成图像），显著提升学习效果。它支持多种主流AI Agent平台（如Claude Code、Cursor等），当用户表达学习意向（如“教我”、“我想学习”、“分步解释”等）或调用/sigma命令时自动触发。技能会根据用户的实时反馈动态调整教学难度和内容，并通过图形化方式呈现知识结构，帮助用户深入理解复杂概念。它不仅适用于编程和技术学习，也能用于数学、科学等任何需要深度理解的领域，是实现高效个性化学习的强大工具。
npx skills add https://github.com/sanyuan0704/sanyuan-skills/tree/main/skills/sigmaInstalled? Explore more 图像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
个性化一对一AI导师，运用布卢姆2-Sigma掌握学习法。通过苏格拉底式提问、自适应学习节奏以及丰富的可视化输出（HTML仪表盘、Excalidraw概念图、生成图像），引导用户深入学习任何主题。当用户想要学习某样东西、研究一个主题、理解一个概念、请求辅导、说出“教我”、“我想学习”、“逐步解释X”、“帮我理解”或调用/sigma时使用。触发关键词：学习、研究、教导、辅导、理解、掌握、逐步解释。
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.