# agent-skills

> agent-skills — linkedmash-agent-skills. Use this tool when you need to automate LinkedIn content management, such as searching saved posts, drafting, scheduling, and analyzing content, for agents like Claude, Cursor, and ChatGPT. It solves problems of manual content management and provides an interface for agents to interact with LinkedIn data via MCP or REST. This tool is ideal for streamlining social media workflows and integrating LinkedIn content into larger automation pipelines.

Canonical page: https://skillsregistry.net/skills/linkedmash-agent-skills  
JSON: https://api.skillsregistry.net/v1/skills/linkedmash-agent-skills

## Description

Agent skills for LinkedMash: teach Claude, Cursor, ChatGPT, and any tool-using agent to search your LinkedIn saved posts and draft, schedule, and analyze LinkedIn content over MCP or REST.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/linkedmash/agent-skills)

## 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": "linkedmash-agent-skills"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linkedmash-agent-skills` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linkedmash-agent-skills/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