universal-learner
Automatically extracts and stores reusable elements from prompts to build a modular knowledge library.
Install
mkdir -p .claude/skills/universal-learner && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3599" && unzip -o skill.zip -d .claude/skills/universal-learner && rm skill.zipInstalls to .claude/skills/universal-learner
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
通用学习器 - 从任何领域的Prompt中自动提取可复用元素，持续学习和积累知识Key capabilities
- →Extract reusable elements from prompts across seven domains.
- →Categorize prompts into primary and secondary domains.
- →Generate tags based on keywords and domain labels.
- →Calculate a reusability score for extracted elements.
- →Update a database with new elements, ensuring no duplicates.
- →Save complete original content for design systems or workflow modules.
How it works
The skill identifies the input type as a prompt or design system, classifies its domain, extracts reusable elements, generates tags, calculates a reusability score, and updates a database while saving original content for design systems.
Inputs & outputs
When to use universal-learner
- →Extract design system modules from prompts
- →Build a library of reusable prompt components
- →Standardize workflow definitions
- →Categorize prompt templates
About this skill
Universal Learner - 通用学习器 Skill
版本: 1.0 架构: Master-Subordinate 学习方式: 半自动（生成报告 + 人工审核）
🎯 核心功能
从任何领域的Prompt中自动提取可复用元素，存入Universal Elements Library数据库。
支持7大领域：
- 📷 portrait - 人像摄影
- 🏠 interior - 室内设计
- 📦 product - 产品摄影
- 🎨 design - 平面设计
- 🎭 art - 艺术风格
- 🎬 video - 视频生成
- 📸 common - 通用摄影技术
📋 使用方式
方式1：学习单个Prompt
学习这个Prompt: [粘贴完整Prompt]
或
分析并学习: A premium collector's edition book photographed with Phase One camera, featuring Italian calfskin binding...
方式2：批量学习18个源Prompts
批量学习所有Prompts
或
学习extracted_modules.json中的所有Prompts
方式3：学习特定领域
只学习product领域的Prompts
或
学习Prompt #1, #6, #14, #16（产品摄影）
方式4：学习设计系统/模块系统 ⭐ 新增
学习这个设计系统：[粘贴完整的设计系统规范]
或
学习这个工作流模块：[完整工作流内容]
自动识别特征：
- 包含关键词：模块 / 系统 / 工作流 / 框架
- 有层级结构（背景系统 + 配色方案 + 字体系统...）
- 包含设计理念说明或流程步骤
特殊处理（模块系统模式）：
- 提取元素 → elements表
- 创建设计系统记录 → design_templates表
- 保存完整原始内容 → visual_reference字段 ⭐ 关键增强
🔄 工作流程
输入Prompt
↓
【Step 0: 类型识别】⭐ 新增
- 判断是"画面描述型" 还是 "设计系统型"
- 设计系统特征：包含"设计系统"、"风格规范"、有层级结构
- 输出: {"type": "prompt" | "design_system"}
↓
【Step 0.1: 模块系统判断】⭐ 关键增强
- 检测关键词：【模块】【系统】【工作流】【框架】
- YES → 模块系统模式（需保存完整原始内容）
- NO → 普通学习模式（只提取元素）
↓
【Step 1: 领域分类】domain_classifier.md
- 识别主要领域（product/design/art/video...）
- 判断是否多领域
- 输出: {"primary": "product", "secondary": ["photography"]}
↓
【Step 2: 元素提取】element_extractor.md
- 根据领域提取对应元素
- product → product_types, materials, photography_techniques
- design → layouts, effects, typography
- art → art_styles, special_effects
- 输出: List[{category, name, template, keywords}]
↓
【Step 3: 自动打标签】tagger.md
- 基于keywords生成tags
- 添加领域标签、类别标签
- 跨领域标签识别（luxury, glass, dynamic...）
- 输出: tags列表
↓
【Step 4: 计算复用性】
- reusability_score (1-10)
- 基于：通用性、清晰度、独立性
↓
【Step 5: 更新数据库】library_updater.md
- 检查是否已存在（去重）
- 生成element_id
- 写入elements.db
- 更新tag_index
↓
【Step 5.1: 如果是设计系统】⭐ 新增
- 同时创建模板记录
- 写入design_templates表
- 关联所有提取的元素
- 保存设计理念、使用指南等完整信息
↓
【Step 5.2: 如果是模块系统模式】⭐ 关键增强
- 把完整原始内容保存到 visual_reference 字段
- 包括：完整工作流、所有模板、配置参数等
- 目的：可直接使用，无需重新组合元素
↓
【Step 6: 生成报告】
- 新学习的元素列表
- 按领域和类别分组
- 推荐的tags
- 质量评估
- （设计系统）额外显示模板信息
📊 输出示例
学习报告
# Universal Learner - 学习报告
**学习时间**: 2026-01-01 18:30:00
**源Prompt**: Prompt #1
## 🎯 领域识别
主领域: **product** (产品摄影)
次领域: **common** (通用摄影)
## 📦 提取的元素
### 产品类型 (product_types)
1. **collector_edition_book** - 收藏版书籍
- 模板: premium collector's edition book, luxury binding, Italian calfskin cover
- 关键词: collector's edition, premium book, luxury binding
- 标签: product, book, luxury, collectible
- 复用性: 7.5/10
- element_id: product_product_types_001
### 材质纹理 (material_textures)
2. **glossy_reflective** - 光泽反射材质
- 模板: high-end glossy surface, reflective finish, metallic sheen
- 关键词: glossy, reflective, shiny, polished
- 标签: material, glossy, luxury, product
- 复用性: 8.5/10
- element_id: product_material_textures_002
### 摄影技术 (photography_techniques)
3. **macro_product_shot** - 产品微距特写
- 模板: Phase One medium format camera with 100mm macro lens, razor-sharp focus
- 关键词: macro, close-up, detailed, high-resolution
- 标签: photography, macro, product, technical
- 复用性: 9.0/10
- element_id: common_photography_techniques_032
## ✅ 已添加到数据库
- 3个新元素已写入 elements.db
- 更新了12个标签索引
- product领域: 60 → 63 个元素
- common领域: 31 → 32 个元素
## 💡 质量评估
- 提取完整度: 95%
- 标签质量: 优秀
- 复用性评分: 8.3/10 (平均)
🎛️ 配置选项
自动化程度
- 当前: 半自动（生成报告 + 人工审核）
- 未来: 可选全自动模式
复用性评分标准
| 评分 | 标准 |
|---|---|
| 9-10 | 极高复用性：跨领域通用，如"macro photography", "soft lighting" |
| 7-8 | 高复用性：领域内通用，如"product on table", "geometric layout" |
| 5-6 | 中等复用性：特定场景，如"collector's edition book" |
| 3-4 | 低复用性：非常具体，如"vintage 1960s typewriter" |
| 1-2 | 极低复用性：一次性描述，不推荐提取 |
📚 数据源
输入: extracted_results/extracted_modules.json (18个源Prompts)
输出:
extracted_results/elements.db(SQLite数据库)extracted_results/universal_elements_library.json(JSON导出)
🔧 模块说明
| 模块 | 文件 | 功能 |
|---|---|---|
| 领域分类器 | modules/domain_classifier.md | 识别Prompt属于哪个领域 |
| 元素提取器 | modules/element_extractor.md | 提取可复用元素 |
| 标签生成器 | modules/tagger.md | 自动生成tags |
| 库更新器 | modules/library_updater.md | 更新数据库 |
✅ 验收标准
学习成功的标志：
- ✅ 能正确识别7大领域
- ✅ 从18个Prompts提取~440个元素
- ✅ 自动去重（不重复添加已存在元素）
- ✅ 标签质量高（相关性强）
- ✅ 复用性评分合理
Skill状态: ✅ 已实现 最后更新: 2026-01-05 维护者: Universal Library System
When not to use it
- →When the prompt describes a very specific, one-time scenario.
- →When the prompt contains descriptions with extremely low reusability.
Limitations
- →The skill operates in a semi-automatic mode, requiring human review of generated reports.
- →The reusability score is based on predefined criteria and may not capture all nuances of reusability.
How it compares
This skill automatically identifies and categorizes reusable components from various prompts and design systems, unlike manual extraction which requires human analysis and organization.
Compared to similar skills
universal-learner side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| universal-learner (this skill) | 2 | 7mo | No flags | Intermediate |
| last30days | 31 | 4mo | Review | Beginner |
| firecrawl-scrape | 5 | 7mo | Review | Beginner |
| call-prep | 3 | 6mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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