Claude Skill

linkedin-analytics

Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over

LLM Mart · 0 points · 3 views 0 listing impressions 0 install-command copies
Virus-scanned Reviewed automatically before listing.

Full trust report

Download publora-skills-skills_linkedin-analytics-63db082.zip · 3 KB
Part of publora/skills — 17 skills

Install

skills CLI npx skills add https://github.com/publora/skills/tree/main/skills/linkedin-analytics
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install publora-skills@llmmart
Git git clone https://github.com/publora/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole publora/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

LinkedIn Analytics

Track impressions, engagement and follower growth for your LinkedIn posts and profile, and interact with posts through reactions, comments and reshares. Statistics come from the REST API; reactions, comments, reshares and mention lookups are MCP tools.

Prerequisites

Plans: Works on the free Starter plan. Current limits and pricing: publora.com/pricing.

Getting Started

  1. Create account at publora.com/register (free)
  2. Connect LinkedIn via OAuth in Publora Dashboard
  3. Get API key at app.publora.com/dashboard/api
  4. Connect your agent to the MCP server at https://mcp.publora.com, authenticating with Authorization: Bearer sk_YOUR_API_KEY. In Claude Code:
claude mcp add publora --transport http https://mcp.publora.com \
  --header "Authorization: Bearer sk_YOUR_API_KEY"

Claude Desktop, Cursor, Codex, OpenClaw and the claude.ai connector each need a different config file or flow: see client setup for the exact path and snippet.

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 (REST only)

LinkedIn analytics are not exposed as MCP tools. The MCP server carries posting, media and LinkedIn engagement tools; statistics live only on the REST API, so call these endpoints directly with the x-publora-key header. Asking an agent for an linkedin_post_stats MCP tool will fail: there is no such tool.

POST /linkedin-post-statistics

Engagement metrics for one post.

Body:

  • platformId: platform connection ID (e.g. linkedin-abc123), from list_connections
  • postedId: post URN (urn:li:share:... or urn:li:ugcPost:...)
  • queryTypes (optional): IMPRESSION, MEMBERS_REACHED, RESHARE, REACTION, COMMENT, or ALL

Returns: impressions, unique impressions (members reached), reactions, comments, reshares, and a cached flag telling you whether the numbers came from cache.

POST /linkedin-account-statistics

Aggregated statistics for the account.

Body: platformId, optional queryTypes, optional aggregation (DAILY or TOTAL, default TOTAL).

POST /linkedin-followers

Follower count or growth over time.

Body: platformId, optional period (lifetime or daily), optional dateRange ({start: {year, month, day}, end: {year, month, day}}).

POST /linkedin-profile-summary

Combined profile overview: followers plus statistics.

Body: platformId, optional dateRange.

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"}'

Engagement Tools

linkedin_create_reaction

React to a LinkedIn post.

Parameters:

  • postedId: LinkedIn post URN
  • platformId: Platform connection ID
  • reactionType: One of the following:
Type Description
LIKE Standard thumbs up
PRAISE Clapping hands / applause
EMPATHY Heart / love
INTEREST Lightbulb / insightful
APPRECIATION Supportive
ENTERTAINMENT Funny / 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

linkedin_create_reshare

Reshare an existing post, with optional commentary.

Parameters:

  • platformId: platform connection ID
  • parent: the post to reshare, as a share URN (urn:li:share:... or urn:li:ugcPost:...). Note the name: this tool takes parent, not postedId like the reaction and comment tools.
  • commentary (optional): your text above the reshare, up to 3,000 characters
  • visibility (optional): PUBLIC or CONNECTIONS, default PUBLIC. CONNECTIONS is for personal accounts.

Note: a LinkedIn feed URL carries an activity id, which is not always the same as the share id. Use the postedId returned by get_post, not a hand-converted activity id.

linkedin_list_mentionables

Resolve names to the URNs that @mentions need, so you never hand-write a member id.

Parameters:

  • q (optional): the name to search for
  • limit (optional): how many results to return

Both are optional, and this tool takes no platformId: it searches across the account rather than one connection.

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

Metric Description
IMPRESSION Total times content appeared in feeds
MEMBERS_REACHED Unique LinkedIn members who saw the post
RESHARE Number of reposts/shares
REACTION Total reactions (all types combined)
COMMENT Number of comments

Engagement Rate Benchmarks

Average LinkedIn engagement rates by follower count:

Followers Good Engagement Rate
< 5K 3-5%
5K-50K 2-3%
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

Error Cause Solution
"Platform ID not found" Invalid connection ID Run list_connections to get valid IDs
"Post not found" Wrong URN format Use urn:li:share: or urn:li:ugcPost: format
429 Too Many Requests Rate limited Wait and retry with exponential backoff
"message cannot exceed 1250 characters" Comment too long Shorten comment to under 1,250 chars
Files (skills)
  • SKILL.md 8.7 KB
    ---
    name: linkedin-analytics
    description: Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over the REST API, engagement over MCP tools. Not for creating posts (use linkedin-post).
    ---
    
    # LinkedIn Analytics
    
    Track impressions, engagement and follower growth for your LinkedIn posts and profile, and interact with posts through reactions, comments and reshares. Statistics come from the REST API; reactions, comments, reshares and mention lookups are MCP tools.
    
    ## Prerequisites
    
    **Plans:** Works on the free Starter plan. Current limits and pricing: [publora.com/pricing](https://publora.com/pricing).
    
    ### Getting Started
    
    1. **Create account** at [publora.com/register](https://publora.com/register) (free)
    2. **Connect LinkedIn** via OAuth in [Publora Dashboard](https://app.publora.com/dashboard)
    3. **Get API key** at [app.publora.com/dashboard/api](https://app.publora.com/dashboard/api)
    4. **Connect your agent** to the MCP server at `https://mcp.publora.com`, authenticating with `Authorization: Bearer sk_YOUR_API_KEY`. In Claude Code:
    
    ```bash
    claude mcp add publora --transport http https://mcp.publora.com \
      --header "Authorization: Bearer sk_YOUR_API_KEY"
    ```
    
       Claude Desktop, Cursor, Codex, OpenClaw and the claude.ai connector each need a different config file or flow: see [client setup](https://docs.publora.com/mcp/client-setup) for the exact path and snippet.
    
    ### 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`):
    
    ```bash
    # 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](https://docs.publora.com)
    
    ## Analytics Tools (REST only)
    
    LinkedIn analytics are **not exposed as MCP tools**. The MCP server carries posting, media and LinkedIn engagement tools; statistics live only on the REST API, so call these endpoints directly with the `x-publora-key` header. Asking an agent for an `linkedin_post_stats` MCP tool will fail: there is no such tool.
    
    ### POST /linkedin-post-statistics
    Engagement metrics for one post.
    
    **Body:**
    - `platformId`: platform connection ID (e.g. `linkedin-abc123`), from `list_connections`
    - `postedId`: post URN (`urn:li:share:...` or `urn:li:ugcPost:...`)
    - `queryTypes` (optional): `IMPRESSION`, `MEMBERS_REACHED`, `RESHARE`, `REACTION`, `COMMENT`, or `ALL`
    
    **Returns:** impressions, unique impressions (members reached), reactions, comments, reshares, and a `cached` flag telling you whether the numbers came from cache.
    
    ### POST /linkedin-account-statistics
    Aggregated statistics for the account.
    
    **Body:** `platformId`, optional `queryTypes`, optional `aggregation` (`DAILY` or `TOTAL`, default `TOTAL`).
    
    ### POST /linkedin-followers
    Follower count or growth over time.
    
    **Body:** `platformId`, optional `period` (`lifetime` or `daily`), optional `dateRange` (`{start: {year, month, day}, end: {year, month, day}}`).
    
    ### POST /linkedin-profile-summary
    Combined profile overview: followers plus statistics.
    
    **Body:** `platformId`, optional `dateRange`.
    
    ```bash
    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"}'
    ```
    
    ## Engagement Tools
    
    ### linkedin_create_reaction
    React to a LinkedIn post.
    
    **Parameters:**
    - `postedId`: LinkedIn post URN
    - `platformId`: Platform connection ID
    - `reactionType`: One of the following:
    
    | Type | Description |
    |------|-------------|
    | `LIKE` | Standard thumbs up |
    | `PRAISE` | Clapping hands / applause |
    | `EMPATHY` | Heart / love |
    | `INTEREST` | Lightbulb / insightful |
    | `APPRECIATION` | Supportive |
    | `ENTERTAINMENT` | Funny / 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
    
    ### linkedin_create_reshare
    Reshare an existing post, with optional commentary.
    
    **Parameters:**
    - `platformId`: platform connection ID
    - `parent`: the post to reshare, as a **share URN** (`urn:li:share:...` or `urn:li:ugcPost:...`). Note the name: this tool takes `parent`, not `postedId` like the reaction and comment tools.
    - `commentary` (optional): your text above the reshare, up to 3,000 characters
    - `visibility` (optional): `PUBLIC` or `CONNECTIONS`, default `PUBLIC`. `CONNECTIONS` is for personal accounts.
    
    Note: a LinkedIn feed URL carries an `activity` id, which is not always the same as the share id. Use the `postedId` returned by `get_post`, not a hand-converted activity id.
    
    ### linkedin_list_mentionables
    Resolve names to the URNs that @mentions need, so you never hand-write a member id.
    
    **Parameters:**
    - `q` (optional): the name to search for
    - `limit` (optional): how many results to return
    
    Both are optional, and this tool takes no `platformId`: it searches across the account rather than one connection.
    
    ## 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
    
    | Metric | Description |
    |--------|-------------|
    | `IMPRESSION` | Total times content appeared in feeds |
    | `MEMBERS_REACHED` | Unique LinkedIn members who saw the post |
    | `RESHARE` | Number of reposts/shares |
    | `REACTION` | Total reactions (all types combined) |
    | `COMMENT` | Number of comments |
    
    ## Engagement Rate Benchmarks
    
    **Average LinkedIn engagement rates by follower count:**
    
    | Followers | Good Engagement Rate |
    |-----------|---------------------|
    | < 5K | 3-5% |
    | 5K-50K | 2-3% |
    | 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
    
    | Error | Cause | Solution |
    |-------|-------|----------|
    | "Platform ID not found" | Invalid connection ID | Run `list_connections` to get valid IDs |
    | "Post not found" | Wrong URN format | Use `urn:li:share:` or `urn:li:ugcPost:` format |
    | 429 Too Many Requests | Rate limited | Wait and retry with exponential backoff |
    | "message cannot exceed 1250 characters" | Comment too long | Shorten comment to under 1,250 chars |
    

Comments (0)

Sign in to join the conversation.

No comments yet.

Reviews (0)

No reviews yet.

Related