Introducing Awesome Social Media Skills, an Open-Source Skill Library for AI Agents

Most “AI for social media” resources are prompt lists. They can produce a one-off caption, but they do not tell an agent what inputs to use, what shape to return, or how to check its work.

So we open-sourced Awesome Social Media Skills: a curated, MIT-licensed collection of portable agent skills for research, strategy, writing, video, images, repurposing, publishing, and analytics.

What a skill contains

The repository's 26 skills across 9 categories use a consistent format: purpose, inputs, step-by-step instructions, an output shape, an example, and quality checks. The checks explicitly rule out unsupported promises such as guaranteed engagement or virality.

That format makes a skill practical. For example, the cross-platform publishing formatter takes a source and produces a structured, platform-tagged queue. A repurposing workflow can then turn one long-form source into several channel-native drafts while preserving the source's claims. The output is still a draft: a human or publishing system must decide whether and when it goes live.

Portable by design

The same skill files can be supplied to Claude Code, Codex, OpenClaw, or Hermes without rewriting the instructions for each agent. The agent handles the reasoning; the skill defines the repeatable process and checks. This separation also makes it easier to review a skill in a pull request.

Where ReplyNodes fits

The skills repository works without ReplyNodes. Publishing is the boundary we chose not to solve generically: the formatter produces a structured queue, and an MCP-compatible publishing layer can pick it up. The repository includes an MCP quickstart showing the real ReplyNodes tool names and configuration.

If you want to connect that queue to social accounts, start with the ReplyNodes MCP integration guide or review the social media MCP server. If you want to improve the library itself, use its contribution guide.