opinion-analyzer
多视角舆情分析助手。当用户需要分析某个话题/事件/人物/品牌的舆情时使用。 参考 BettaFish 多 Agent 协作机制，从多个视角还原舆情原貌，打破信息茧房，输出结构化分析报告。 触发词：舆情分析、话题分析、品牌声誉、网络讨论、分析XX事件、XX话题怎么看、公众对XX的看法
Best use case
opinion-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
多视角舆情分析助手。当用户需要分析某个话题/事件/人物/品牌的舆情时使用。 参考 BettaFish 多 Agent 协作机制，从多个视角还原舆情原貌，打破信息茧房，输出结构化分析报告。 触发词：舆情分析、话题分析、品牌声誉、网络讨论、分析XX事件、XX话题怎么看、公众对XX的看法
Teams using opinion-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/opinion-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How opinion-analyzer Compares
| Feature / Agent | opinion-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
多视角舆情分析助手。当用户需要分析某个话题/事件/人物/品牌的舆情时使用。 参考 BettaFish 多 Agent 协作机制，从多个视角还原舆情原貌，打破信息茧房，输出结构化分析报告。 触发词：舆情分析、话题分析、品牌声誉、网络讨论、分析XX事件、XX话题怎么看、公众对XX的看法
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Opinion Analyzer — 多视角舆情分析助手
灵感来源：[BettaFish/微舆](https://github.com/666ghj/BettaFish) ⭐ trending
输入一个话题或事件，获得多视角的深度舆情分析报告，打破信息茧房。
---
## 分析架构
参考 BettaFish 的多 Agent 协作机制，本 skill 模拟以下四个分析维度：
### 🔍 Query Agent — 广度信息搜索
搜索该话题在各平台的公开讨论，收集不同来源的信息
### 📊 Insight Agent — 深度模式识别
识别情感倾向、核心争议点、关键意见领袖观点
### 🗣️ Forum Engine — 多视角碰撞
模拟不同立场（支持/反对/中立/专业人士）的观点，通过"论坛辩论"揭示被忽视的角度
### 📝 Report Agent — 结构化报告生成
整合多角度分析，生成可操作的洞察报告
---
## 使用方式
直接说出你想分析的话题：
> "分析一下'AI替代程序员'这个话题的舆情"
> "分析某品牌最近的品牌声誉"
> "XX事件公众怎么看"
---
## 执行流程
收到分析请求后，执行以下步骤：
### Step 1：广度搜索（Query Agent 模式）
用 web 搜索（或 EdgeBrowser_Web_Search skill）搜索：
- `{话题} 讨论`、`{话题} 评论`、`{话题} 争议`
- 覆盖：新闻媒体、社交媒体评论、专业论坛
- 收集 10-15 个代表性观点
### Step 2：情感与立场分析（Insight Agent 模式）
对收集的信息进行：
- **情感倾向分布**：正面/负面/中立各占比（估算）
- **核心争议点**：提炼 3-5 个主要分歧
- **意见领袖观点**：识别有代表性的声音
### Step 3：多视角论坛（Forum Engine 模式）
模拟 4 种立场进行观点碰撞：
- 🔴 **反对方**：核心反对理由、情感诉求
- 🟢 **支持方**：核心支持理由、逻辑基础
- 🟡 **中立观察者**：客观分析、被双方忽视的事实
- 🔵 **领域专家**：专业视角下的评估
### Step 4：综合报告（Report Agent 模式）
输出结构化报告：
```
## 📊 {话题} 舆情分析报告
### 一句话概括
{核心结论}
### 情感分布
正面 ██████░░░░ 60% | 负面 ████░░░░░░ 40%
### 核心争议
1. {争议点1}：支持方认为...，反对方认为...
2. {争议点2}：...
### 各立场观点
🔴 反对声音：...
🟢 支持声音：...
🟡 中立视角：...
🔵 专业评估：...
### 被忽视的角度
{论坛碰撞中发现的非主流但有价值的观点}
### 趋势预判
{基于当前舆情走向的发展预测}
### 建议
{如果你是相关方，可以采取的行动建议}
```
---
## 注意事项
- 本工具呈现多元视角，不代表任何单一立场
- 分析基于公开信息，存在信息不完整的局限
- 预测部分为辅助参考，不构成决策依据Related Skills
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