Skill Comment Insights

Q: What does the Skill Comment Insights AI skill do?

评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。

Q: Why use Skill Comment Insights on TypingMind?

Because you install it once and use it with any model. Skill Comment Insights is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Skill Comment Insights in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Skill Comment Insights?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Skill Comment Insights?

As many as you like. As long as a model supports skills, you can use Skill Comment Insights with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Skill Comment Insights AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

OrganizationPopular

ZJU-REAL

skill-comment-insights

评论区量化分析：对一批评论做情感分析（正/中/负占比 + 代表评论）、高频词与短语提取、以及需求/吐槽/提问的诉求挖掘，为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba（分词）+ SnowNLP（情感）+ 社媒情感词典。

Overview

Publisher	ZJU-REAL
Repository	`Easel`
Skill name	`skill-comment-insights`
Stars	1.2K
Forks	175
Bundled files	1
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Comment Insights AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-comment-insights .claude/skills/skill-comment-insights

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Comment Insights in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Comment Insights on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Comment Insights is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

评论区量化分析（comment-insights）

对评论做量化洞察：情感分布、高频词/短语、需求与吐槽挖掘。走 scripts/comment_insights.py（jieba + SnowNLP + 社媒情感词典）。

和 skill-community-ops 的分工：community-ops 是"怎么回评论 + 危机应对"（运营动作）；本 SKILL 是"评论区在说什么"（量化数据）。评论抓取见 skill-xhs-analyzer。

⚠️ 依赖

pip install jieba snownlp（首次 jieba 会构建词典缓存）。

输入

评论数据，三种格式：

.txt：每行一条评论
.json：字符串数组，或对象数组（--column 指定字段，默认 content）
.csv：--column 指定评论列（默认首列/content）

输出（`outputs/主题名/`）

报告 JSON：情感分布/占比 + 正负代表评论 + 高频词 + 高频短语 + 需求/吐槽/提问计数与例子
终端可读摘要

执行

脚本路径（相对项目根）：skills/openclaw/skill-comment-insights/scripts/comment_insights.py。

bash
python <skill>/scripts/comment_insights.py analyze -i comments.txt --top 20 \
  -o outputs/主题名/report.json
# CSV 指定列
python <skill>/scripts/comment_insights.py analyze -i comments.csv --column 评论内容

结果怎么用

情感占比：负面偏高 → 结合负面代表评论定位问题；配合 skill-community-ops 做回应/危机。
高频词/短语：用户关注点与话题；可喂 chart-visualization/infographic 出词云图。
需求（demands）：求链接/求教程/求同款 → 直接转化为下一条选题（配合 community-ops 选题反哺）。
吐槽（complaints）：产品/服务问题信号 → 复盘改进（配合 skill-content-postmortem）。

规则

情感为 SnowNLP 基线 + 社媒词典修正的近似值，用于看趋势与占比，非逐条精判；关键决策需人工核对代表评论，或让 LLM 对存疑评论精读。
高频词已做词性过滤（保留名/动/形）+ 停用词剔除，聚焦有信息量的词。
数据量小（<20 条）时占比参考意义有限，如实说明样本量。
只做分析不做回复；回复/危机用 skill-community-ops。

参考来源

沿用社媒评论分析常用组合：jieba 中文分词（#131 高频词）+ SnowNLP 情感（#130），并叠加社媒情感词典（绝绝子/yyds/避雷/翻车等网络用语）修正 SnowNLP 在社交文本上的偏差。诉求挖掘用规则匹配（求购/疑问/吐槽），确定可复现。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/comment_insights.py11 KB

Frequently asked questions

What does the Skill Comment Insights AI skill do?

Why use Skill Comment Insights on TypingMind?

Because you install it once and use it with any model. Skill Comment Insights is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Comment Insights in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-comment-insights. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Comment Insights?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Comment Insights?

As many as you like. As long as a model supports skills, you can use Skill Comment Insights with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Comment Insights AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Writing Plans

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

评论区量化分析（comment-insights）

⚠️ 依赖

输入

输出（outputs/主题名/）

执行

结果怎么用

规则

参考来源

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

输出（`outputs/主题名/`）