# skills

> skills — publora-skills. Use this tool when you need to automate social media posting and scheduling across multiple platforms, including LinkedIn, Instagram, and YouTube, to streamline content management and save time. It solves problems of manual posting and scheduling, allowing for efficient content distribution through a single interface. Input your content through Claude Code, Codex, Cursor, or OpenClaw, and output scheduled posts to various social media platforms via the Publora MCP server.

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

## Description

Official Publora skills for AI agents: post and schedule to LinkedIn, X, Instagram, Threads, TikTok, YouTube, Facebook, Bluesky, Mastodon and Telegram from Claude Code, Codex, Cursor or OpenClaw through the Publora MCP server. 9 SKILL.md, MIT. Install: npx skills add publora/skills

## Trust

- **Trust score (0–1):** 0.96
- **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/publora/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": "publora-skills"
    }
  }
}
```

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

---
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