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Content Research

内容研究

Overview

概述

This skill conducts topic and competitor research for any content type. Execute all steps to produce actionable insights that identify content gaps and analyze competitors. This skill focuses ONLY on research — it does not generate titles, hooks, or other creative assets.

Core Principle: Focus on insights and big levers, not data dumping. Research should be comprehensive yet concise, backed by data, and designed to inform strategic decisions.

本技能针对任意内容类型开展主题与竞品研究。执行全部步骤以产出可落地的洞察，识别内容缺口并分析竞品。本技能仅聚焦于研究环节——不会生成标题、钩子或其他创意资产。

核心原则: 聚焦洞察与关键抓手，而非数据堆砌。研究需全面且简洁，以数据为支撑，旨在为战略决策提供依据。

When to Use

使用场景

Use this skill when:

You need to research a topic before creating content
The user asks to research a content idea or topic
You want to understand the competitive landscape for a topic
You need to identify content gaps and opportunities
Preparing for title generation, hook creation, or full content planning

在以下场景中使用本技能：

创作内容前需对主题进行研究时
用户要求研究某个内容创意或主题时
希望了解某主题的竞争格局时
需要识别内容缺口与机会时
为标题生成、钩子创作或完整内容规划做准备时

Platform-Specific Research Tools

平台专属研究工具

This skill is designed to work across platforms. Orchestrator skills may provide platform-specific tools for research:

Platform	Tools Provided By Orchestrator	Fallback
YouTube	YouTube Analytics MCP (search, video details, channel details)	Web search
Newsletter/Blog	Content analytics, email platform data	Web search
Social Media	Platform analytics, engagement data	Web search
General	N/A	Web search (default)

When no platform-specific tools are available, use web search as a general-purpose research tool to find existing content, competitor analysis, and trending topics.

本技能可跨平台使用。编排器技能可能会提供平台专属的研究工具：

平台	编排器提供的工具	备选方案
YouTube	YouTube Analytics MCP（搜索、视频详情、频道详情）	网页搜索
通讯稿/博客	内容分析、邮件平台数据	网页搜索
社交媒体	平台分析、互动数据	网页搜索
通用场景	无	网页搜索（默认）

当无平台专属工具可用时，使用网页搜索作为通用研究工具，查找现有内容、竞品分析及热门主题。

Research Subagents

研究子代理

You can invoke research subagents using the

Task

tool to conduct specific, focused research tasks in parallel. Each

Task

prompt should be focused and specific, with a clear objective.

Bias towards using the

Task

tool rather than executing all research sequentially. Parallel research greatly improves performance.

你可使用

Task

工具调用研究子代理，并行开展特定、聚焦的研究任务。每个

Task

提示需聚焦明确，目标清晰。

优先使用

Task

工具而非按顺序执行所有研究。并行研究可大幅提升效率。

Research Workflow

研究工作流

Execute all steps below to complete the research.

执行以下所有步骤以完成研究。

Step 0: Initialize Research Document

步骤0：初始化研究文档

Create a research document at the location specified by the orchestrator or the user. If no location is specified, ask the user where to save the output.

All research MUST be written to this file. If the file already exists, read it to understand what research has been done so far and continue from there.

在编排器或用户指定的位置创建研究文档。若未指定位置，询问用户保存输出的位置。

所有研究内容必须写入该文件。若文件已存在，读取文件以了解已完成的研究内容，并在此基础上继续。

Step 1: Understand the Topic

步骤1：理解主题

Analyze and document:

What problem does this content solve?
Why would someone engage with this content?
What makes this topic relevant now?
Who is the target audience?

分析并记录：

该内容解决什么问题？
为何用户会关注该内容？
该主题当下的相关性体现在何处？
目标受众是谁？

Step 2: Research Existing Content

步骤2：研究现有内容

Execute these actions using available tools (platform-specific MCP tools if provided, otherwise web search):

Find the user's related existing content on the topic
Gather performance metrics where available
Identify what has already been covered and how to differentiate

Document in research file:

Related existing content (title, link, key metrics if available)
Performance insights (what worked, what did not)
Differentiation strategy for new content

使用可用工具（若有平台专属MCP工具则优先使用，否则用网页搜索）执行以下操作：

查找用户在该主题下的相关现有内容
收集可用的性能指标
识别已覆盖的内容方向及差异化路径

在研究文档中记录：

相关现有内容（标题、链接、可用的关键指标）
性能洞察（哪些有效，哪些无效）
新内容的差异化策略

Step 3: Competitor Research

步骤3：竞品研究

Execute these actions:

Find 5-8 top-performing pieces of content on the topic
Filter for recent content with high engagement
Gather details and metrics for each
Analyze patterns in successful content

Document for each competitor:

Title, creator/publication, link
Key metrics (views, engagement, shares — whatever is available)
Focus/angle and what makes it successful

Synthesize key insights: Identify common patterns and different approaches across competitors.

执行以下操作：

查找该主题下5-8个表现最佳的内容
筛选近期发布且互动量高的内容
收集每个内容的详情与指标
分析成功内容的共性模式

为每个竞品记录：

标题、创作者/发布方、链接
关键指标（浏览量、互动量、分享量——所有可用数据）
核心方向/视角及其成功原因

提炼核心洞察：识别竞品间的共性模式与差异化策略。

Step 4: Content Gap Analysis

步骤4：内容缺口分析

Analyze and identify:

What subtopics or angles are saturated?
What is missing or underexplored?
Where can the user add unique value?

Document in research file:

What's Already Well-Covered: 3-5 saturated topics/approaches
Content Gaps (Opportunities): Specific opportunities rated by potential
- Rating: *** (high), ** (medium), * (low)
Recommended Focus: The specific angle and unique value proposition

Rating Criteria:

*** High: Significant gap, strong demand, clear differentiation possible
** Medium: Moderate gap, some competition, good potential
- Low: Minor gap, heavily competed, incremental value

分析并识别：

哪些子主题或视角已饱和？
哪些内容缺失或未被充分挖掘？
用户可在何处注入独特价值？

在研究文档中记录：

已充分覆盖的内容：3-5个饱和主题/方向
内容缺口（机会）：按潜力评级的具体机会
- 评级：（高）、（中）、（低）
推荐聚焦方向：具体视角与独特价值主张

评级标准:

*** 高：缺口显著，需求强烈，可实现清晰差异化
** 中：缺口中等，存在一定竞争，潜力良好
- 低：缺口微小，竞争激烈，仅能提供增量价值

Step 5: Recommended Angle

步骤5：推荐视角

Based on the gap analysis, define:

The specific angle to take
The unique value proposition
Why this angle is better than what already exists
What makes the user uniquely qualified to cover this

基于缺口分析，明确：

采用的具体视角
独特价值主张
该视角为何优于现有内容
用户为何具备覆盖该内容的独特优势

Output Structure

输出结构

Use this template structure for the research document:

markdown

undefined

使用以下模板构建研究文档：

markdown

undefined

[Topic] - Research

[主题] - 研究报告

Content Overview

内容概述

Topic: [Brief description] Target Audience: [Who this is for] Content Type: [YouTube video, newsletter, social post, etc.] Goal: [What the audience will learn/gain]

主题：[简要描述] 目标受众：[面向人群] 内容类型：[YouTube视频、通讯稿、社交帖子等] 目标：[受众将获得的知识/收益]

Research Notes

研究笔记

Key Concepts to Cover

需覆盖的核心概念

[High-level list]

[高阶列表]

Existing Content Landscape

现有内容格局

User's Related Content

用户的相关内容

[Analysis of user's previous content on this topic]

[对用户该主题下过往内容的分析]

顶级竞品内容

[5-8 pieces with analysis]

[5-8个内容及其分析]

Key Insights

核心洞察

[Patterns and findings across competitors]

[竞品间的共性模式与发现]

Content Gap Analysis

内容缺口分析

What's Already Well-Covered

已充分覆盖的内容

[List of saturated angles]

[饱和视角列表]

Content Gaps (Opportunities)

内容缺口（机会）

[Rated list of specific gaps]

[带评级的具体缺口列表]

Recommended Focus

Production Notes

制作说明

Status: Research Complete Created: [Date] Updated: [Date]

undefined

状态：研究完成 创建日期：[日期] 更新日期：[日期]

undefined

Voice Application

风格适配

Before finalizing any written output, invoke the

writing:voice

skill to apply voice rules. Research documents should reflect the user's authentic voice, not generic analyst language.

在最终确定书面输出前，调用

writing:voice

技能应用风格规则。研究文档需体现用户的真实风格，而非通用分析师语调。

Brand Compliance

品牌合规

When creating assets for The AI Launchpad, invoke

branding-kit:brand-guidelines

to resolve the correct design system and check anti-patterns.

为The AI Launchpad创建资产时，调用

branding-kit:brand-guidelines

以匹配正确的设计系统并检查反模式。

Execution Guidelines

执行准则

Focus on Insights, Not Data

聚焦洞察，而非数据

Execute research with these principles:

Synthesize patterns from research
Identify 3-5 key insights with supporting data
Explain WHY approaches work
Limit competitor research to 5-8 pieces of content

遵循以下原则开展研究：

提炼研究中的共性模式
结合支撑数据识别3-5个核心洞察
解释策略有效的原因
竞品研究限定为5-8个内容

Prioritize Big Levers

优先关注关键抓手

Focus research on these impact areas in order:

Content Gaps (unique value)
Competitor Patterns
Audience Needs
Technical/Format Requirements

按以下优先级聚焦研究的影响领域：

内容缺口（独特价值）
竞品模式
受众需求
技术/格式要求

Back Recommendations with Data

以数据支撑建议

When documenting findings:

Bad: "Write about AI agents"
Good: "Focus on AI agent memory systems (*** gap) — competitors get high engagement but none cover persistent memory"

记录研究发现时：

错误示例：“撰写关于AI agents的内容”
正确示例：“聚焦AI agent内存系统（***缺口）——竞品内容互动量高，但均未覆盖持久内存相关内容”

Quality Checklist

质量检查清单

Common Pitfalls to Avoid

需规避的常见误区

Data Dumping: Listing every piece of content found without synthesis. Limit to 5-8 top competitors, focus on patterns.
Vague Content Gaps: "Not much content on this topic." Identify specific angles that are missing.
Over-Researching Technical Details: Deep implementation research when high-level coverage suffices. Keep focused on what to cover, not how.
Long Reports: 800+ line documents with low signal. Focus on insights and big levers.
Platform Assumptions: Assuming YouTube tools are available when they may not be. Check what tools the orchestrator has provided.

数据堆砌：罗列所有找到的内容而不提炼总结。限定为5-8个顶级竞品，聚焦共性模式。
模糊的内容缺口：仅表述“该主题内容不多”，需识别具体缺失的视角。
过度研究技术细节：在仅需高阶内容时深入研究实现细节。聚焦需覆盖的内容，而非实现方式。
冗长报告：生成800行以上、有效信息少的文档。聚焦洞察与关键抓手。
平台假设：假设YouTube工具可用，但实际可能并非如此。需确认编排器提供的工具类型。

Example Execution

执行示例

Scenario: User requests research for content about "Building AI agents with memory"

Execute workflow:

Understand topic: Practical guide to AI agent memory, targeting developers
Find related content: Search user's existing content, find related pieces on personal assistants
Competitor research: Search and analyze 8 top pieces, identify they cover theory not implementation
Gap analysis: Document *** opportunity for practical memory implementation tutorial
Save research: Write to user-specified location

Result: Comprehensive research document ready for review or to proceed to title/hook generation.

Next Step: If the user has asked to plan content, invoke

content-strategy:title

to generate title options based on this research.

场景：用户要求开展关于“构建带内存的AI agents”的内容研究

执行工作流：

理解主题：面向开发者的AI agent内存实用指南
查找相关内容：搜索用户现有内容，找到关于个人助理的相关内容
竞品研究：搜索并分析8个顶级内容，发现它们仅覆盖理论而非实现
缺口分析：记录“实用内存实现教程”为***级机会
保存研究：写入用户指定位置

结果：生成可供审阅或用于后续标题/钩子生成的完整研究文档。

下一步：若用户要求规划内容，调用

content-strategy:title

技能，基于本研究生成标题选项。