Skill Community Ops logo

Skill Community Ops

OrganizationPopular
ZJU-REAL
skill-community-ops

评论区运营与舆情危机应对：为一批评论生成分层回复模板（赞美/提问/求购/杠精/黑粉） 与分级处理规则，从评论中挖掘选题反哺内容，负面事件时做危机分级 + 声明草稿 + 统一口径。 当用户说"回复评论"、"评论区运营"、"评论怎么回"、"钓评论"、"引导互动"、 "评论区选题"、"舆情"、"危机公关"、"差评"、"黑粉"、"被骂了"、"道歉声明"、 "统一口径"、"负面缠上来了"、"翻车了怎么办"时触发。 和 skill-quality-gate 的区别：quality-gate 是发布前合规质检， community-ops 是发布后的评论互动与危机响应。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-community-ops
Stars
1.2K
Forks
175
Bundled files
5
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • 5 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 Community Ops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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-community-ops .claude/skills/skill-community-ops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Community Ops 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 Community Ops 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 Community Ops 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.

评论区运营与舆情危机应对

发布后的运营层能力：回复评论、从评论挖选题、负面事件时分级响应。三种模式，命中哪个做哪个。

三种模式

模式触发场景核心产出
A 评论回复策略有一批评论要回 / 问"评论怎么回"分层回复模板 + 分级处理规则
B 评论区选题反哺问"评论区能挖什么选题" / 给了一堆评论3-5 条下一步选题建议
C 舆情危机应对出现负面事件、差评风波、被黑危机分级 + 声明草稿 + 统一口径 + 红线 + 时效

一次请求可能命中多个模式（如"评论区吵起来了，帮我回一下顺便看要不要出声明"）。先判定模式，再按对应流程执行。若输入模糊，先问清"是要回评论、挖选题、还是处理负面"。

输入

字段必填说明
评论内容模式 A/B 必填一批真实评论，或"我这类内容常收到 XX 类评论"的场景描述
负面事件描述模式 C 必填发生了什么、在哪个平台、扩散到什么程度、有无实锤
目标平台推荐小红书 / 抖音 / B站 / 微博 / 公众号 / 知乎，决定调性
品牌人设/红线可选无 Profile 时可手动提供，用于定语气和口径

模式 A：评论回复策略

  1. 读 references/reply-playbook.md「一、五类评论分层话术库」，按五类归类用户给的评论：普通赞美 / 专业提问 / 求购买求链接 / 杠精抬杠 / 黑粉恶意差评。
  2. 每类给 2-3 条可套用的回复模板（用 [占位符] 表示品牌名、产品、链接等，不写死具体 case）。
  3. 按 references/reply-playbook.md「二、分级处理规则」给出处置分级：必回 / 引导私信 / 置顶 / 冷处理 / 删除拉黑，并说明每条评论归入哪级、为什么。
  4. 按目标平台调语气：读 references/platform-comment-ecology.md 对应平台段（小红书亲和、B站梗感、知乎专业、抖音短平快、微博快节奏、公众号克制）。
  5. 输出：分类回复模板表 + 分级处置清单 + 平台语气提示。

模式 B：评论区选题反哺

  1. 通读评论，按 references/topic-mining.md「一、评论聚类维度」聚类出高频诉求、重复疑问、争议点、许愿、吐槽。
  2. 统计每类出现的信号强度（高频 / 中频 / 零星但尖锐）。
  3. 按 references/topic-mining.md「二、评论转选题公式」把高价值聚类转成 3-5 条具体选题建议。
  4. 每条选题给：选题标题方向 + 来自哪条/哪类评论 + 为什么值得做 + 建议形式（图文/视频/合集）。
  5. 输出：评论聚类摘要 + 3-5 条选题建议卡。

模式 C：舆情 / 危机应对

  1. 读 references/crisis-grading.md「一、危机三级分级标准」，按事件性质、扩散度、是否有实锤、是否触及安全/法律/伦理底线，判定：🟢 可忽略 / 🟡 需回应 / 🔴 需正式声明。给出判定依据（命中了哪几条标准）。
  2. 按判定档位取对应产出：
    • 🟢 可忽略 → 给"不回应/轻回应"的判断理由 + 内部监测建议（盯什么信号会升级）。
    • 🟡 需回应 → 按 references/crisis-grading.md「三、回应话术框架」出评论区/私信回应话术草稿。
    • 🔴 需正式声明 → 按「四、正式声明结构」出声明草稿（含事实陈述、担责、措施、承诺四段）。
  3. 出「对外统一口径」：一句话核心立场 + 3-5 条 Q&A 应答口径，确保团队对外说法一致（references/crisis-grading.md「五、统一口径」）。
  4. 出「红线清单」：此次绝对不要做的动作（references/crisis-grading.md「六、危机红线」，如删评控评、甩锅、情绪化对线、大规模拉黑）。
  5. 出「响应时效建议」：按档位给黄金响应窗口（references/crisis-grading.md「七、响应时效」）。
  6. 输出：危机分级结论 + 话术/声明草稿 + 统一口径 + 红线清单 + 时效建议。

Profile 感知

有 Profile 时：

  • 读 preferences.md（要做的/不做的/合规底线）→ 回复语气与危机口径贴合品牌人设，不越红线。
  • 读 style.md / identity.md → 回复模板的用词、称呼、梗的尺度对齐账号风格。
  • 读 platforms.md → 自动确定主攻平台的评论调性，无需再问。
  • 危机口径遵守 preferences.md「合规底线」，声明不承诺做不到的事。

无 Profile 时：

  • 退通用模式，回复模板用中性友好语气，占位符留给用户填品牌信息。
  • 询问或默认目标平台，按平台通用调性走。
  • 危机应对用行业通用稳妥口径，末尾提示"提供 Profile 可让口径贴合品牌人设与红线"。

规则

  1. 模板一律用 [占位符]，不写死具体品牌/产品/人名的 case。
  2. 危机分级必须给出判定依据，不能只给结论。
  3. 声明草稿只承诺能兑现的措施，不写空话套话，不做虚假承诺。
  4. 不建议任何删评控评、水军刷屏、恶意对线等违规或损害长期信任的动作。
  5. 回复与口径符合目标平台评论生态，不生搬其他平台调性。

Bundled files

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

Frequently asked questions

What does the Skill Community Ops AI skill do?

评论区运营与舆情危机应对：为一批评论生成分层回复模板（赞美/提问/求购/杠精/黑粉） 与分级处理规则，从评论中挖掘选题反哺内容，负面事件时做危机分级 + 声明草稿 + 统一口径。 当用户说"回复评论"、"评论区运营"、"评论怎么回"、"钓评论"、"引导互动"、 "评论区选题"、"舆情"、"危机公关"、"差评"、"黑粉"、"被骂了"、"道歉声明"、 "统一口径"、"负面缠上来了"、"翻车了怎么办"时触发。 和 skill-quality-gate 的区别：quality-gate 是发布前合规质检， community-ops 是发布后的评论互动与危机响应。

Why use Skill Community Ops on TypingMind?

Because you install it once and use it with any model. Skill Community Ops 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 Community Ops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-community-ops. 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 Community Ops?

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 Community Ops?

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

Is the Skill Community Ops 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.

Related AI Skills

View all
HKUDS logo

Cli Anything Intelwatch

HKUDS
OrganizationPopular

Zero friction. Full context. Competitive intelligence, M&A due diligence, and OSINT directly from your terminal. Uses Node.js/npx.

4.6K
49.5K
Instructions
View
kepano logo

Defuddle

kepano
CommunityPopular

Extract clean Markdown from HTML pages with Defuddle CLI.

3.5K
48.5K
Instructions
View
sickn33 logo

Add App Clip

sickn33
CommunityPopular

Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL…

6.8K
46.5K
2 files
View
sickn33 logo

Advogado Criminal

sickn33
CommunityPopular

Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.

6.8K
46.5K
1 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇