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linkedin-analytics链接分析

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkedin-analytics(链接分析)
来源仓库:https://github.com/publora/skills
仓库路径:skills/linkedin-analytics
安装命令:
npx skills add https://github.com/publora/skills --skill linkedin-analytics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/publora/skills --skill linkedin-analytics

简介

linkedin-analytics 用于辅助数据清洗、汇总和统计口径生成。

  • 适合处理 CSV/Excel 文件、发现异常值或准备图表数据。
  • 需确认数据来源和时间范围,避免将样本当作全量事实。
  • 涉及敏感数据导出时应先确认脱敏方式和权限边界。linkedin-analytics 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 建议保留原始字段含义,并在分析结果中标注计算逻辑。

SKILL.md

LinkedIn Analytics

Get detailed analytics for your LinkedIn posts and profile using the Publora MCP server. Track impressions, engagement, follower growth, and interact with posts through reactions and comments.

Prerequisites

Plans: Starter (free), Pro, Premium - LinkedIn is available on all plans including free.

Getting Started

  1. Create account at publora.com/register (free)
  2. Connect LinkedIn via OAuth in Publora Dashboard
  3. Get API key at publora.com/settings/api
  4. Configure MCP in Claude Desktop (~/.claude/claude_desktop_config.json):
{
  "mcpServers": {
    "publora": {
      "type": "http",
      "url": "https://mcp.publora.com",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

REST API Fallback

If the MCP server is unavailable or returns errors, use the REST API directly:

Base URL: https://api.publora.com/api/v1

Authentication: Use x-publora-key header (NOT Authorization: Bearer):

# Get your connected platforms
curl -X GET "https://api.publora.com/api/v1/platform-connections" \
  -H "x-publora-key: sk_your_api_key"

# Get post statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-post-statistics" \
  -H "x-publora-key: sk_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platformId": "linkedin-abc123",
    "postedId": "urn:li:share:7123456789012345678",
    "queryTypes": "ALL"
  }'

# Get account statistics
curl -X POST "https://api.publora.com/api/v1/linkedin-account-statistics" \
  -H "x-publora-key: sk_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "platformId": "linkedin-abc123",
    "queryTypes": "ALL"
  }'

Platform ID Format: linkedin-{id} where {id} is from /platform-connections response.

Example IDs: linkedin-Tz9W5i6ZYG, linkedin-abc123xyz

📖 Full API documentation: docs.publora.com

Analytics Tools

linkedin_post_stats

Get engagement metrics for a specific LinkedIn post.

Parameters:

  • postedId: LinkedIn post URN (e.g., urn:li:share:123456 or urn:li:ugcPost:123456)
  • platformId: Platform connection ID (e.g., linkedin-abc123)
  • queryTypes (optional): Metrics to fetch: IMPRESSION, MEMBERS_REACHED, RESHARE, REACTION, COMMENT

Response includes:

  • Impressions (total views)
  • Unique impressions (members reached)
  • Reactions count
  • Comments count
  • Shares/reposts
  • Engagement rate

linkedin_account_stats

Get aggregated statistics for your LinkedIn account.

Parameters:

  • platformId: Platform connection ID
  • queryTypes (optional): Metrics to fetch
  • aggregation (optional): DAILY or TOTAL (default: TOTAL)

linkedin_followers

Get follower count or growth over time.

Parameters:

  • platformId: Platform connection ID
  • period (optional): lifetime or daily
  • dateRange (optional): For daily period: {start: {year, month, day}, end: {year, month, day}}

linkedin_profile_summary

Get a combined profile overview with followers and stats.

Parameters:

  • platformId: Platform connection ID
  • dateRange (optional): Date range for stats

Engagement Tools

linkedin_create_reaction

React to a LinkedIn post.

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID
  • reactionType: One of the following:
TypeDescription
LIKEStandard thumbs up
PRAISEClapping hands / applause
EMPATHYHeart / love
INTERESTLightbulb / insightful
APPRECIATIONSupportive
ENTERTAINMENTFunny / laughing

linkedin_delete_reaction

Remove your reaction from a post.

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID

linkedin_create_comment

Post a comment on a LinkedIn post (max 1,250 characters).

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID
  • message: Comment text (max 1,250 characters)
  • parentComment (optional): Comment URN for nested replies

linkedin_delete_comment

Remove a comment you made.

Parameters:

  • postedId: LinkedIn post URN
  • commentId: Comment URN or numeric ID
  • platformId: Platform connection ID

Example Prompts

Weekly Performance Review

Analyze my LinkedIn performance for the last 7 days.
Show me:
1. Which posts performed best
2. My engagement rate trends
3. Follower growth
4. Recommendations for improvement

Post Analysis

Get detailed stats for my last 5 LinkedIn posts and identify patterns in what content resonates with my audience.

Engagement Campaign

React with PRAISE to my colleague's post about their promotion (urn:li:share:123456) and add a congratulatory comment.

Follower Tracking

Show my LinkedIn follower growth for the last 30 days. How many new followers did I gain each week?

Metrics Reference

MetricDescription
IMPRESSIONTotal times content appeared in feeds
MEMBERS_REACHEDUnique LinkedIn members who saw the post
RESHARENumber of reposts/shares
REACTIONTotal reactions (all types combined)
COMMENTNumber of comments

Engagement Rate Benchmarks

Average LinkedIn engagement rates by follower count:

FollowersGood Engagement Rate
< 5K3-5%
5K-50K2-3%
50K+1-2%

Good performing posts typically have:

  • 2x your average impressions
  • Comment-to-reaction ratio above 10%
  • Engagement rate above your baseline

Important Notes

  1. Analytics delay: LinkedIn analytics may take up to 24 hours to fully populate. Querying immediately after posting returns partial data.
  2. URN formats: LinkedIn URLs use urn:li:activity:xxx but the API requires urn:li:share:xxx or urn:li:ugcPost:xxx. Use the postedId from Publora's get_post response for accurate URNs.
  3. Caching: Analytics responses may be cached. The response includes a cached field indicating if data came from cache.
  4. Rate limits: LinkedIn has approximately 200+ API calls per hour. Implement backoff on 429 errors.

Troubleshooting

ErrorCauseSolution
"Platform ID not found"Invalid connection IDRun list_connections to get valid IDs
"Post not found"Wrong URN formatUse urn:li:share: or urn:li:ugcPost: format
429 Too Many RequestsRate limitedWait and retry with exponential backoff
"message cannot exceed 1250 characters"Comment too longShorten comment to under 1,250 chars

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02

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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