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personal-material-search

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Original

English
🇨🇳

Translation

Chinese

个人素材库搜索

Personal Material Library Search

何时使用此Skill

When to Use This Skill

当用户出现以下任一需求时，使用此技能：
  • 需要"真实经历"、"个人案例"、"实际经验"
  • 希望内容"有根据"、"更可信"、"有真实感"
  • 提到"素材库"、"找例子"、"找案例"
  • 想要"增加说服力"、"更有说服力"
  • 需要具体的数据或支撑材料
Use this skill when the user has any of the following needs:
  • Needs "real experience", "personal case", "practical experience"
  • Wants content to be "well-founded", "more credible", "authentic"
  • Mentions "material library", "looking for examples", "looking for cases"
  • Wants to "increase persuasiveness", "be more convincing"
  • Needs specific data or supporting materials

核心目标

Core Objectives

从个人素材库中快速找到相关的真实经历和案例，为内容创作提供可靠的事实支撑，显著提升内容的真实性和可信度。
Quickly find relevant real experiences and cases from the personal material library to provide reliable factual support for content creation, and significantly improve the authenticity and credibility of the content.

执行流程

Execution Process

第一步：理解搜索需求

Step 1: Understand Search Requirements

目标：明确用户需要什么类型的素材
需求分析：
  1. 主题关键词提取
    • 提取核心概念和关键词
    • 识别行业领域和专业方向
    • 分析用户意图（案例/数据/观点）
  2. 素材类型判断
    • 📊 数据型素材：具体数字、百分比、统计信息
    • 📖 案例型素材：完整故事、项目经历、成功案例
    • 💡 观点型素材：个人见解、行业分析、趋势判断
    • 🔍 细节型素材：具体操作、工具使用、过程描述
  3. 应用场景确定
    • 论证观点 - 需要有力的案例支撑
    • 丰富内容 - 需要具体的细节描述
    • 增加可信度 - 需要真实的数据和经历
    • 提供价值 - 需要实用的经验和建议
Objective: Clarify what type of materials the user needs
Requirement Analysis:
  1. Topic Keyword Extraction
    • Extract core concepts and keywords
    • Identify industry fields and professional directions
    • Analyze user intent (case/data/opinion)
  2. Material Type Judgment
    • 📊 Data-type material: Specific numbers, percentages, statistical information
    • 📖 Case-type material: Complete stories, project experiences, success cases
    • 💡 Opinion-type material: Personal insights, industry analysis, trend judgment
    • 🔍 Detail-type material: Specific operations, tool usage, process description
  3. Application Scenario Confirmation
    • Demonstrating viewpoints - need strong case support
    • Enriching content - need specific detail descriptions
    • Increasing credibility - need real data and experiences
    • Providing value - need practical experience and suggestions

第二步：构建搜索策略

Step 2: Build Search Strategy

目标：设计高效的搜索关键词组合
搜索策略：
  1. 核心关键词
    • 直接使用主题词：如"产品管理"、"用户体验"
    • 使用同义词：如"PM"、"UX设计"替代
    • 使用英文词：如"AI"、"SaaS"、"KOL"
  2. 组合关键词
    • 主题+动作：如"产品管理"+"经验"
    • 主题+结果：如"创业"+"成功案例"
    • 主题+工具：如"数据分析"+"Excel"
  3. 扩展搜索
    • 相关领域：如"市场营销"相关"增长黑客"
    • 上下游概念：如"开发"相关"测试"
    • 同行业经验：如"互联网"相关"电商"
Objective: Design efficient search keyword combinations
Search Strategy:
  1. Core Keywords
    • Use topic words directly: such as "product management", "user experience"
    • Use synonyms: such as "PM", "UX design" as alternatives
    • Use English terms: such as "AI", "SaaS", "KOL"
  2. Combined Keywords
    • Topic + action: such as "product management" + "experience"
    • Topic + result: such as "entrepreneurship" + "success case"
    • Topic + tool: such as "data analysis" + "Excel"
  3. Extended Search
    • Related fields: such as "marketing" related to "growth hacking"
    • Upstream and downstream concepts: such as "development" related to "testing"
    • Industry-wide experience: such as "Internet" related to "e-commerce"

第三步：执行素材搜索

Step 3: Execute Material Search

目标：在素材库中找到最匹配的内容
搜索执行：
  1. CSV数据库搜索
    • 在素材库文件中使用Grep工具搜索
    • 支持模糊匹配和精确匹配
    • 搜索标题、内容、标签等字段
  2. 匹配度评估
    • 完全匹配（90-100%）：主题完全一致
    • 高度匹配（70-89%）：主题相关度高
    • 部分匹配（50-69%）：有一定参考价值
    • 低度匹配（30-49%）：仅作补充参考
  3. 多结果处理
    • 优先选择匹配度最高的3-5条
    • 按相关性排序展示
    • 标注每条素材的类型和适用场景
Objective: Find the most matching content in the material library
Search Execution:
  1. CSV Database Search
    • Use Grep tool to search in the material library file
    • Support fuzzy matching and exact matching
    • Search fields such as title, content, tags, etc.
  2. Matching Degree Evaluation
    • Perfect match (90-100%): The topics are completely consistent
    • High match (70-89%): High topic relevance
    • Partial match (50-69%): Has certain reference value
    • Low match (30-49%): Only for supplementary reference
  3. Multi-result Processing
    • Prioritize the 3-5 entries with the highest matching degree
    • Display sorted by relevance
    • Mark the type and applicable scenario of each material

第四步：素材整理和改写

Step 4: Material Sorting and Rewriting

目标：将找到的素材适配到当前内容
整理原则：
  1. 去识别化处理
    • 移除具体的公司名称
    • 隐去真实的人名信息
    • 模糊化具体的时间地点
  2. 语言风格适配
    • 调整语气以匹配文章风格
    • 保持客观性，避免主观臆断
    • 使用统一的表达方式
  3. 内容结构优化
    • 提取核心观点和数据
    • 简化冗长的描述
    • 突出关键信息和价值
Objective: Adapt the found materials to the current content
Sorting Principles:
  1. De-identification Processing
    • Remove specific company names
    • Hide real personal name information
    • Blur specific time and location
  2. Language Style Adaptation
    • Adjust the tone to match the article style
    • Maintain objectivity and avoid subjective assumptions
    • Use a unified expression method
  3. Content Structure Optimization
    • Extract core viewpoints and data
    • Simplify lengthy descriptions
    • Highlight key information and value

第五步：提供使用建议

Step 5: Provide Usage Suggestions

目标：指导用户如何有效使用这些素材
使用建议：
  1. 插入位置建议
    • 论证观点后作为支撑
    • 举例说明部分作为案例
    • 数据分析部分作为依据
  2. 表达方式建议
    • 直接引用：保持原文意思
    • 概括引用：提炼核心要点
    • 对比引用：与观点形成呼应
  3. 价值点强调
    • 标注素材的可信度等级
    • 指出最具说服力的要点
    • 建议如何进一步强化效果
Objective: Guide users on how to use these materials effectively
Usage Suggestions:
  1. Insertion Position Suggestions
    • As support after demonstrating viewpoints
    • As cases in the example explanation part
    • As basis in the data analysis part
  2. Expression Suggestions
    • Direct quotation: Keep the original meaning
    • General quotation: Extract core points
    • Comparative quotation: Form a response with the viewpoint
  3. Value Point Emphasis
    • Mark the credibility level of the material
    • Point out the most persuasive points
    • Suggest how to further strengthen the effect

素材库结构

Material Library Structure

数据库字段

Database Fields

  • ID: 唯一标识符
  • title: 素材标题
  • content: 详细内容描述
  • type: 素材类型（case/data/opinion/detail）
  • category: 分类标签
  • date: 记录时间
  • reliability: 可信度评级（1-5分）
  • usage_count: 使用次数
  • notes: 备注说明
  • ID: Unique identifier
  • title: Material title
  • content: Detailed content description
  • type: Material type (case/data/opinion/detail)
  • category: Classification tag
  • date: Record time
  • reliability: Credibility rating (1-5 points)
  • usage_count: Number of uses
  • notes: Remarks

分类体系

Classification System

  1. 职业经历：工作、项目、管理经验
  2. 创业经验：创业过程、商业模式、融资经验
  3. 技术实践：编程、产品设计、数据分析
  4. 市场运营：营销、推广、用户增长
  5. 个人成长：学习、思考、生活感悟
  1. Professional Experience: Work, project, management experience
  2. Entrepreneurial Experience: Entrepreneurship process, business model, financing experience
  3. Technical Practice: Programming, product design, data analysis
  4. Marketing and Operation: Marketing, promotion, user growth
  5. Personal Growth: Learning, thinking, life insights

质量标准

Quality Standards

  • 素材匹配度 >= 70%
  • 内容真实性经过验证
  • 处理后语言流畅自然
  • 提供具体的使用建议
  • Material matching degree >= 70%
  • Content authenticity has been verified
  • Language is smooth and natural after processing
  • Provide specific usage suggestions

特殊处理

Special Processing

1. 找不到匹配素材

1. No Matching Material Found

处理策略：
  • 扩大搜索范围到相关领域
  • 提供概念类似的替代素材
  • 建议用户补充相关信息
Processing Strategy:
  • Expand the search scope to related fields
  • Provide alternative materials with similar concepts
  • Suggest users to supplement relevant information

2. 素材过于敏感

2. Overly Sensitive Materials

处理策略：
  • 进行充分的信息脱敏
  • 保留核心经验但隐去具体细节
  • 提供通用化的表达方式
Processing Strategy:
  • Conduct sufficient information desensitization
  • Retain core experience but hide specific details
  • Provide generalized expression methods

3. 素材需要更新

3. Materials Need to Be Updated

处理策略：
  • 标注时间信息，提醒时效性
  • 建议结合最新情况补充
  • 提供历史对比的价值
Processing Strategy:
  • Mark time information and remind timeliness
  • Suggest supplementing with the latest situation
  • Provide the value of historical comparison

注意事项

Notes

  • 保护隐私信息，适当脱敏处理
  • 确保素材的时效性和准确性
  • 保持客观中立，避免过度渲染
  • 提供多角度的素材选择
最后更新：2024年
  • Protect private information and conduct appropriate desensitization processing
  • Ensure the timeliness and accuracy of materials
  • Remain objective and neutral, avoid excessive rendering
  • Provide multi-angle material selection
Last updated: 2024