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strategy-expert

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English
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Chinese

Content Strategy Expert

内容策略专家

Overview

概述

This skill enables Claude to assist users with comprehensive content strategy tasks including building customer personas from analytics data, conducting competitive content analysis, planning content calendars, managing research-to-content workflows, and ensuring brand voice consistency across all content.
该Skill可让Claude协助用户完成全面的内容策略任务，包括从分析数据构建客户人物角色、开展竞品内容分析、规划内容日历、管理从研究到内容的工作流，以及确保所有内容的品牌语音一致性。

When to Use This Skill

何时使用该Skill

This skill activates automatically when users:
  • Ask about content strategy or strategic planning
  • Request help building personas or defining target audiences
  • Need competitive analysis or competitor research
  • Want content planning assistance or ideation
  • Ask about brand voice, brand guidelines, or content consistency
  • Need help organizing research into actionable content plans
当用户出现以下情况时，该Skill会自动激活：
  • 询问内容策略或战略规划相关问题
  • 请求帮助构建人物角色或定义目标受众
  • 需要竞品分析或竞品调研
  • 寻求内容规划协助或创意构思
  • 询问品牌语音、品牌指南或内容一致性相关问题
  • 需要帮助将调研整理为可执行的内容计划

Core Capabilities

核心功能

1. Build Customer Personas from Analytics Data

1. 从分析数据构建客户人物角色

To build customer personas from analytics data:
  1. Analyze Engagement Data
    • Review analytics data from analytics platform (discover from project)
    • Identify patterns in audience engagement
    • Segment audiences by content preferences, platform behavior, and engagement patterns
    • Extract demographics, goals, and pain points from content performance data
  2. Synthesize Persona Profiles
    • Create persona cards with:
      • Demographics (age, location, interests)
      • Goals and motivations
      • Pain points and challenges
      • Content preferences (topics, formats, platforms)
      • Engagement patterns (best times, preferred content types)
    • Use analytics data to validate persona assumptions
  3. Generate Persona Documentation
    • Create structured persona profiles in content management platform
    • Link personas to content performance data
    • Enable persona-based content targeting in content creation tools
Example User Request: "Build a persona for my top-performing content audience based on my analytics data"
Integration (discover from project):
  • Analytics Platform: Extract engagement data
  • Content Management Platform: Store and manage personas
  • Content Creation Tools: Use personas for content targeting
从分析数据构建客户人物角色的步骤：
  1. 分析互动数据
    • 查看来自analytics platform的分析数据（从项目中获取）
    • 识别受众互动模式
    • 根据内容偏好、平台行为和互动模式对受众进行细分
    • 从内容表现数据中提取受众统计信息、目标和痛点
  2. 合成人物角色档案
    • 创建包含以下内容的人物角色卡片：
      • 受众统计信息（年龄、地域、兴趣）
      • 目标与动机
      • 痛点与挑战
      • 内容偏好（主题、格式、平台）
      • 互动模式（最佳时间、偏好的内容类型）
    • 使用分析数据验证人物角色假设
  3. 生成人物角色文档
    • 在内容管理平台中创建结构化的人物角色档案
    • 将人物角色与内容表现数据关联
    • 在内容创作工具中启用基于人物角色的内容定向
用户请求示例： "基于我的分析数据，为表现最佳的内容受众构建一个人物角色"
集成（从项目中获取）：
  • Analytics Platform：提取互动数据
  • Content Management Platform：存储和管理人物角色
  • Content Creation Tools：利用人物角色进行内容定向

2. Competitive Content Analysis

2. 竞品内容分析

To conduct competitive content analysis:
  1. Identify Competitors
    • Help users identify relevant competitors in their niche
    • Set up competitor tracking via browser extension
    • Monitor competitor accounts and content
  2. Analyze Competitor Content
    • Review competitor content performance
    • Identify trending topics and formats
    • Analyze engagement patterns and best practices
    • Compare competitor content to user's content
  3. Generate Competitive Intelligence
    • Create competitive analysis reports
    • Identify content gaps and opportunities
    • Recommend content strategies based on competitor insights
    • Benchmark user's content performance against competitors
Example User Request: "Analyze my competitors' content and tell me what topics they're covering that I'm not"
Integration (discover from project):
  • Browser Extension: Track competitor accounts
  • Analytics Platform: Compare performance metrics
  • Content Management Platform: Store competitive intelligence
开展竞品内容分析的步骤：
  1. 识别竞品
    • 帮助用户识别其细分领域中的相关竞品
    • 通过浏览器扩展设置竞品跟踪
    • 监控竞品账号和内容
  2. 分析竞品内容
    • 评估竞品内容表现
    • 识别热门主题和格式
    • 分析互动模式和最佳实践
    • 将竞品内容与用户内容进行对比
  3. 生成竞品情报
    • 创建竞品分析报告
    • 识别内容缺口和机会
    • 根据竞品洞察推荐内容策略
    • 将用户的内容表现与竞品进行基准对比
用户请求示例： "分析我的竞品内容，告诉我他们覆盖了哪些我没有涉及的主题"
集成（从项目中获取）：
  • Browser Extension：跟踪竞品账号
  • Analytics Platform：对比表现指标
  • Content Management Platform：存储竞品情报

3. Content Calendar Planning

3. 内容日历规划

To help users plan content calendars:
  1. Analyze Historical Performance
    • Review past content performance data
    • Identify best-performing content types and topics
    • Determine optimal posting times and frequencies
  2. Create Content Calendar
    • Generate weekly/monthly content calendars
    • Plan content themes and topics
    • Schedule content across multiple platforms
    • Balance content types (educational, entertaining, promotional)
  3. Optimize Calendar Strategy
    • Recommend content mix based on performance data
    • Suggest optimal posting times per platform
    • Plan content series and campaigns
    • Align calendar with business goals and events
Example User Request: "Create a content calendar for next month based on my top-performing content"
Integration (discover from project):
  • Publishing Platform: Schedule content in calendar
  • Analytics Platform: Use performance data for planning
  • Content Management Platform: Organize content ideas and themes
协助用户规划内容日历的步骤：
  1. 分析历史表现
    • 查看过往内容表现数据
    • 识别表现最佳的内容类型和主题
    • 确定最佳发布时间和频率
  2. 创建内容日历
    • 生成周/月内容日历
    • 规划内容主题和话题
    • 在多个平台上安排内容发布
    • 平衡内容类型（教育性、娱乐性、推广性）
  3. 优化日历策略
    • 根据表现数据推荐内容组合
    • 针对不同平台建议最佳发布时间
    • 规划内容系列和营销活动
    • 使日历与业务目标和活动保持一致
用户请求示例： "基于我表现最佳的内容，为下个月创建一份内容日历"
集成（从项目中获取）：
  • Publishing Platform：在日历中安排内容发布
  • Analytics Platform：利用表现数据进行规划
  • Content Management Platform：整理创意和主题

4. Research-to-Content Workflow

4. 从研究到内容的工作流

To convert research into actionable content:
  1. Organize Research
    • Help users organize bookmarked research from browser extension
    • Categorize research by topic, theme, or content type
    • Identify key insights and findings from research
  2. Generate Content Outlines
    • Convert research findings into content outlines
    • Create structured content plans from research
    • Identify content opportunities from research data
  3. Create Content from Research
    • Generate video/article scripts from research outlines
    • Convert research into presentation-style content
    • Ensure research is properly cited and attributed
Example User Request: "Turn my bookmarked research into a content plan for next week"
Integration (discover from project):
  • Browser Extension: Import bookmarked research
  • Content Creation Tools: Generate content from research outlines
  • Content Management Platform: Organize research and content plans
将研究转化为可执行内容的步骤：
  1. 整理研究资料
    • 帮助用户整理来自浏览器扩展的已收藏研究资料
    • 按主题、主题方向或内容类型对研究资料进行分类
    • 从研究资料中识别关键洞察和发现
  2. 生成内容大纲
    • 将研究发现转化为内容大纲
    • 根据研究资料创建结构化的内容计划
    • 从研究数据中识别内容机会
  3. 基于研究资料创建内容
    • 根据研究大纲生成视频/文章脚本
    • 将研究资料转化为演示风格的内容
    • 确保研究资料得到正确引用和归属
用户请求示例： "把我收藏的研究资料转化为下周的内容计划"
集成（从项目中获取）：
  • Browser Extension：导入已收藏的研究资料
  • Content Creation Tools：根据研究大纲生成内容
  • Content Management Platform：整理研究资料和内容计划

5. Brand Voice Consistency

5. 品牌语音一致性

To ensure brand voice consistency across content:
  1. Understand Brand Guidelines
    • Review user's brand guidelines (if available)
    • Identify brand voice characteristics
    • Understand brand values and messaging
  2. Enforce Brand Voice
    • Ensure all generated content matches brand voice
    • Review content for brand consistency
    • Suggest improvements to align with brand guidelines
  3. Maintain Brand Standards
    • Check content for brand compliance
    • Ensure consistent messaging across platforms
    • Recommend brand voice improvements
Example User Request: "Review my content to ensure it matches my brand voice"
Integration (discover from project):
  • Content Creation Tools: Apply brand voice in content generation
  • Content Management Platform: Store and manage brand guidelines
  • Publishing Platform: Ensure brand consistency in distribution
确保所有内容的品牌语音一致性的步骤：
  1. 了解品牌指南
    • 查看用户的品牌指南（如有）
    • 识别品牌语音特征
    • 了解品牌价值观和信息传递方式
  2. 强化品牌语音
    • 确保所有生成的内容符合品牌语音
    • 检查内容的品牌一致性
    • 提出改进建议以贴合品牌指南
  3. 维护品牌标准
    • 检查内容是否符合品牌规范
    • 确保跨平台信息传递一致
    • 提出品牌语音优化建议
用户请求示例： "检查我的内容，确保其符合我的品牌语音"
集成（从项目中获取）：
  • Content Creation Tools：在内容生成中应用品牌语音
  • Content Management Platform：存储和管理品牌指南
  • Publishing Platform：确保分发过程中的品牌一致性

Project Context Discovery

项目背景调研

Before providing strategy recommendations, discover the project's context:
  1. Scan Project Documentation:
    • Check 
      .agents/SYSTEM/ARCHITECTURE.md
      for platform architecture
    • Review 
      .agents/SYSTEM/SUMMARY.md
      for capabilities overview
    • Look for brand voice guidelines in project docs
  2. Identify Platform Components:
    • Scan codebase for content creation tools
    • Look for publishing/distribution integrations
    • Check for analytics platform integrations
  3. Discover Brand Voice:
    • Look for brand guidelines or style guides
    • Check for copywriting documentation
    • Review existing content examples
Common Content Platform Architecture:
  • Browser Extension: Trend discovery and bookmarking
  • Content Creation Tools: AI content generation
  • Publishing Platform: Multi-platform distribution
  • Analytics Platform: Performance tracking
  • Content Management Platform: Content library and organization
Content Intelligence Workflow:
Trend Detection → Content Generation → Distribution → Analytics → Optimization
在提供策略建议之前，需调研项目背景：
  1. 扫描项目文档：
    • 查看
      .agents/SYSTEM/ARCHITECTURE.md
      了解平台架构
    • 查看
      .agents/SYSTEM/SUMMARY.md
      了解功能概述
    • 在项目文档中查找品牌语音指南
  2. 识别平台组件：
    • 扫描代码库查找内容创作工具
    • 查找发布/分发集成
    • 检查分析平台集成
  3. 挖掘品牌语音：
    • 查找品牌指南或风格指南
    • 检查文案撰写文档
    • 查看现有内容示例
常见内容平台架构：
  • Browser Extension：趋势发现与收藏
  • Content Creation Tools：AI内容生成
  • Publishing Platform：多平台分发
  • Analytics Platform：表现跟踪
  • Content Management Platform：内容库与整理
内容智能工作流：
Trend Detection → Content Generation → Distribution → Analytics → Optimization

Best Practices

最佳实践

  1. Discover Project Context First: Scan project documentation to understand platform, brand voice, and workflows
  2. Data-Driven Decisions: Always base recommendations on actual analytics data from the project
  3. Platform-Specific Strategy: Consider platform-specific requirements and best practices
  4. Brand Consistency: Ensure all content recommendations align with brand guidelines
  5. Competitive Intelligence: Use competitor analysis to identify opportunities, not to copy
  6. Continuous Optimization: Recommend iterative improvements based on performance data
  1. 先调研项目背景：扫描项目文档以了解平台、品牌语音和工作流
  2. 数据驱动决策：始终基于项目的实际分析数据提出建议
  3. 平台专属策略：考虑平台的特定要求和最佳实践
  4. 品牌一致性：确保所有内容建议符合品牌指南
  5. 竞品情报利用：通过竞品分析识别机会，而非抄袭
  6. 持续优化：基于表现数据推荐迭代改进方案

Resources

资源

references/

references/

  • platform-architecture.md
    : Platform architecture and features (discover from project docs)
  • content-strategy-guide.md
    : Content strategy best practices and frameworks
  • platform-architecture.md
    ：平台架构与功能（从项目文档中获取）
  • content-strategy-guide.md
    ：内容策略最佳实践与框架

assets/

assets/

  • persona-template.md
    : Template for creating customer personas
  • content-calendar-template.md
    : Template for content calendar planning
  • competitive-analysis-template.md
    : Template for competitive analysis reports
  • persona-template.md
    ：创建客户人物角色的模板
  • content-calendar-template.md
    ：内容日历规划模板
  • competitive-analysis-template.md
    ：竞品分析报告模板