Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
数据来源：ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一：命令行安装（推荐）
推荐（无需提前安装 clawhub）
npx clawhub@latest --dir ~/.claude/skills install social-sentiment或使用 clawhub CLI（需提前安装）
clawhub --dir ~/.claude/skills install social-sentiment⚠️ 需要 Node.js 18+，没有 Node？请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二：手动下载安装（无需 Node）
下载 ZIP，解压后将文件夹放到以下路径，重启 Agent 即可：
安装路径
~/.claude/skills/social-sentiment/💡解压后将文件夹放到上方路径，重启 Agent 即可生效
--- name: social-sentiment description: "Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts." homepage: https://xpoz.ai metadata: { "openclaw": { "requires": { "bins": ["mcporter"], "skills": ["xpoz-setup"], "network": ["mcp.xpoz.ai"], "credentials": "Xpoz account (free tier) — auth via xpoz-setup skill (OAuth 2.1)", }, "install": [{"id": "node", "kind": "node", "package": "mcporter", "bins": ["mcporter"], "label": "Install mcporter (npm)"}], }, } tags: - sentiment-analysis - brand-monitoring - social-media - twitter - reddit - instagram - analytics - brand-sentiment - reputation - social-listening - opinion-mining - brand-tracking - competitor-analysis - public-opinion - crisis-detection - NLP - reputation - mcp - xpoz - opinion - market-research ---
Analyze brand sentiment from live social conversations at scale.
Surfaces themes, flags viral complaints, compares competitors. Analyzes 1K-70K posts via bulk CSV + Python.
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
Queries: (1) "Brand" (2) "Brand" AND (slow OR buggy) (3) "Brand" AND (love OR amazing)
mcporter call xpoz.getTwitterPostsByKeywords query='"Notion"' startDate="YYYY-MM-DD"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll 5sRepeat for Reddit/Instagram. Default: 30 days.
Use dataDumpExportOperationId, poll with checkOperationStatus for download URL (up to 64K rows).
Python/pandas:
import pandas as pd
df = pd.read_csv('/tmp/twitter-sentiment.csv')
POSITIVE = ['love', 'amazing', 'best', 'recommend']
NEGATIVE = ['hate', 'terrible', 'worst', 'broken']
def classify(text):
t = str(text).lower()
pos = sum(1 for k in POSITIVE if k in t)
neg = sum(1 for k in NEGATIVE if k in t)
return 'positive' if pos>neg else ('negative' if neg>pos else 'neutral')
df['sentiment'] = df['text'].apply(classify)Extract themes, find viral by engagement. Customize keywords.
Sentiment: 72/100 | Posts: 14,832
😊 58% | 😠 24% | 😐 18%
Themes: Performance (2K, 81% neg), UX (1.8K, 72% pos)
Viral: [Top 10]Score: Engagement-weighted, 0-100. Include insights.
Download full CSVs | Reddit = honest | Store data/social-sentiment/ for trends
安装 Social Sentiment 后，可以对 AI 说这些话来触发它
Help me get started with Social Sentiment
Explains what Social Sentiment does, walks through the setup, and runs a quick demo based on your current project
Use Social Sentiment to sentiment analysis for brands and products across Twitter, Reddit, ...
Invokes Social Sentiment with the right parameters and returns the result directly in the conversation
What can I do with Social Sentiment in my marketing & growth workflow?
Lists the top use cases for Social Sentiment, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/social-sentiment/ 目录（个人级，所有项目可用），或 .claude/skills/social-sentiment/（项目级）。重启 AI 客户端后，用 /social-sentiment 主动调用，或让 AI 根据上下文自动发现并使用。
Social Sentiment 支持 Claude、Cursor、OpenClaw，可与这些 AI 平台无缝集成，扩展其能力。
Social Sentiment 可免费安装使用。请查阅仓库了解许可证信息。
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
Social Sentiment 属于「Marketing & Growth」分类，该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my marketing & growth tasks using Social Sentiment
Identifies repetitive steps in your workflow and sets up Social Sentiment to handle them automatically