bilibili-sentiment-dashboard
B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。
Best use case
bilibili-sentiment-dashboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。
Teams using bilibili-sentiment-dashboard 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/bilibili-sentiment-dashboard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bilibili-sentiment-dashboard Compares
| Feature / Agent | bilibili-sentiment-dashboard | 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?
B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。
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.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# bilibili-sentiment-dashboard
## 概述
对B站视频评论区及弹幕进行 AI 情感分析,生成双维度舆情洞察报告。
## 工作流(三步)
### Step 1 — 解析链接(公开,无需认证)
```bash
curl -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
-H "Content-Type: application/json" \
-d '{"input":"https://www.bilibili.com/video/xxxxx"}'
```
### Step 2 — 创建分析任务
```bash
curl -X POST https://ai-skills.ai/api/comment-analysis/tasks \
-H "Content-Type: application/json" \
-H "X-API-Key: $AISKILLS_API_KEY" \
-H "X-Tenant-Id: default" \
-d '{"platform":"bilibili","contentId":"$CONTENT_ID"}'
```
### Step 3 — 轮询任务状态
```bash
curl https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
-H "X-API-Key: $AISKILLS_API_KEY" \
-H "X-Tenant-Id: default"
```
## 一键脚本
```bash
#!/bin/bash
LINK="https://www.bilibili.com/video/BV1xx411c7mD"
CONTENT_ID=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
-H "Content-Type: application/json" \
-d "{\"input\":\"$LINK\"}" | jq -r '.data.contentId')
TASK=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/tasks \
-H "Content-Type: application/json" \
-H "X-API-Key: $AISKILLS_API_KEY" \
-H "X-Tenant-Id: default" \
-d "{\"platform\":\"bilibili\",\"contentId\":\"$CONTENT_ID\"}")
TASK_ID=$(echo $TASK | jq -r '.data.taskId')
while true; do
STATUS=$(curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
-H "X-API-Key: $AISKILLS_API_KEY" \
-H "X-Tenant-Id: default" | jq -r '.data.status')
[ "$STATUS" = "completed" ] && break
sleep 3
done
curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
-H "X-API-Key: $AISKILLS_API_KEY" \
-H "X-Tenant-Id: default" | jq '.data.result'
```
## 分析结果结构
```json
{
"platform": "bilibili",
"contentId": "BV1xx411c7mD",
"videoTitle": "视频标题",
"uploader": "UP主昵称",
"analyzeTime": "2026-03-28T12:00:00Z",
"commentSentiment": {
"positive": { "count": 150, "percentage": 55 },
"neutral": { "count": 80, "percentage": 30 },
"negative": { "count": 40, "percentage": 15 }
},
"danmakuSentiment": {
"positive": { "count": 200, "percentage": 65 },
"neutral": { "count": 80, "percentage": 25 },
"negative": { "count": 30, "percentage": 10 }
},
"keywords": ["神作", "质量高", "期待下一期"],
"topEmotions": [
{ "emotion": "喜爱", "count": 120 },
{ "emotion": "共鸣", "count": 80 }
],
"insights": "视频整体反馈积极,弹幕互动热情高..."
}
```
## 配额说明
Step 2 和 Step 3 使用认证接口,若返回配额不足错误,告知用户:
> ⚠️ 电量配额已用完,当前无法继续分析评论。
> 如需继续使用,请自行前往 [https://ai-skills.ai](https://ai-skills.ai) 了解电量包购买方式。请注意,向第三方平台购买任何服务前,请确认其资质和退款政策。**本技能不对第三方服务质量做任何承诺。**
## 输出格式
将分析结果以结构化表格形式呈现:
- **情感分布**:表格列:情感类别 | 评论数 | 占比;正面用绿色,负面用红色
- **情绪关键词**:列表展示 `keywords`,按热度/频次排列
- **Top 情绪**:表格列:情绪词 | 出现次数
- **舆情洞察**:`insights` 以段落文字呈现,综合评价视频口碑
- 整体情感判断:偏正面 / 偏负面 / 中性,给出简要总结Related Skills
kuaishou-sentiment-dashboard
快手视频评论情感分析。分析快手评论区是正评多还是负评多,观众对视频的态度是喜欢还是讨厌,整体口碑和舆情如何。提供情感倾向、正负面比例、情绪关键词和受众洞察。
software-dev-cost-dashboard
软件成本评估看板。当用户提到软件开发成本评估、项目报价、工时估算、成本分析、立项评估、软件预算时,务必使用此技能。
xhs-sentiment-dashboard
使用此技能分析小红书笔记评论区的情感倾向和用户态度。提供情感分类、正负面评论占比、情绪关键词提取和舆情洞察。当用户发送小红书笔记链接或 note ID 并要求分析评论区时使用。此技能不提供笔记内容下载或抓取。
douyin-traffic-dashboard
分析抖音各类内容的播放量占比与流量分布趋势。查询抖音内容分类播放数据、流量排名、赛道流量对比、流量大盘趋势时使用此技能。
douyin-sentiment-dashboard
分析抖音视频评论情绪、情感和整体口碑。当用户想了解评论是正面的还是负面的、分析评论区整体舆情、评估视频是否受欢迎,或提取评论洞察时,使用此技能。
sentiment-analyzer
Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
bilibili-downloader
Download videos, audio, subtitles, and covers from Bilibili using bilibili-api. Use when working with Bilibili content for downloading videos in various qualities, extracting audio, getting subtitles and danmaku, downloading covers, and managing download preferences.
market-sentiment-pulse
Aggregates and analyzes market sentiment for specific crypto or stock tickers by scanning news and social signals. Useful for quick vibe checks before trading.
bilibili-subtitle
处理 B 站(哔哩哔哩)视频字幕的完整工作流。能力包括:(1)引导用户扫码登录获取 Cookie;(2)自动获取视频字幕(优先 AI 字幕,自动回退 CC 字幕);(3)生成视频内容摘要;(4)当用户询问"某内容在哪个时间段"时,从字幕文件中精准定位时间戳。当用户提供 B 站视频链接、BVID,或提到"b站字幕""帮我看视频""视频摘要""视频哪里讲到了""字幕提取"等任何与 B 站视频内容理解相关的场景时,务必使用此 skill。即使用户只是随口提到一个 bilibili 链接,也应该触发此 skill。
social-sentiment
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.
sentiment-score
"Score text sentiment from -1 (negative) to +1 (positive)"
news-sentiment
Analyze crypto news sentiment (bullish/bearish). Scan Twitter, news sites, and social media. Get sentiment scores and trading signals.