# publora-linkedin

> publora-linkedin — sergebulaev-publora-linkedin. Use this tool when you need to automate posting or scheduling content on LinkedIn, solving problems of manual content management and inconsistent brand presence. It takes in content and scheduling inputs, and outputs published or scheduled posts on LinkedIn through the Publora API. Ideal for social media managers and marketers seeking to streamline their content distribution workflow.

Canonical page: https://skillsregistry.net/skills/sergebulaev-publora-linkedin  
JSON: https://api.skillsregistry.net/v1/skills/sergebulaev-publora-linkedin

## Description

Post or schedule content to LinkedIn using the Publora API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** social-media
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sergebulaev-publora-linkedin)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sergebulaev-publora-linkedin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sergebulaev-publora-linkedin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sergebulaev-publora-linkedin/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt