Hermes Tweet

Community

maystudios

hermes-tweet

Use Hermes Tweet with Hermes Agent for X/Twitter endpoint discovery, public reads, private action-gated reads, audience analysis, thread planning, and guarded publishing. Use when a project needs Hermes-native social research or publishing workflows.

Overview

Publisher	maystudios
Repository	`claude-skills`
Skill name	`hermes-tweet`
Stars	26
Forks	2
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by maystudios on GitHub. Read the source before you install it.

Installation

Install the Hermes Tweet AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/maystudios/claude-skills/tree/main/hermes-tweet
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/maystudios/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/hermes-tweet .claude/skills/hermes-tweet

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hermes Tweet in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hermes Tweet on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hermes Tweet is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Hermes Tweet

Hermes Tweet is a Hermes Agent plugin for X/Twitter workflows. It keeps endpoint discovery separate from reads and requires explicit configuration before account data or publishing actions are available.

Install

bash
hermes plugins install Xquik-dev/hermes-tweet --enable

Set XQUIK_API_KEY before using read or action tools. Set HERMES_TWEET_ENABLE_ACTIONS=true only for projects where publishing actions are intentionally enabled.

Tool Routes

tweet_explore: discover the bundled X/Twitter endpoint catalog without network access.
tweet_read: read public, read-only X/Twitter data from a cataloged GET endpoint when XQUIK_API_KEY is configured.
tweet_action: run private or action-marked GET endpoints, draft, schedule, or publish only when XQUIK_API_KEY is configured and HERMES_TWEET_ENABLE_ACTIONS=true.

Workflow

Use tweet_explore to find the endpoint that matches the user's request.
Use tweet_read for public timelines, profile reads, search, or analytics.
Use tweet_action for connected-account state, private GET endpoints, action-marked endpoints, or publishing after clear user approval.
Report what was read or drafted without exposing private account state.

Safety

Keep all publishing actions explicit and reviewable.
Treat private account state as sensitive context.
Do not enable tweet_action for unattended projects.
Do not store API keys, account data, or drafts in the repository.

Frequently asked questions

What does the Hermes Tweet AI skill do?

Why use Hermes Tweet on TypingMind?

Because you install it once and use it with any model. Hermes Tweet is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hermes Tweet in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/maystudios/claude-skills/tree/main/hermes-tweet. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hermes Tweet?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hermes Tweet?

As many as you like. As long as a model supports skills, you can use Hermes Tweet with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hermes Tweet AI skill free?

Yes. It is published on GitHub by maystudios under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Hermes Tweet

Install

Tool Routes

Workflow

Safety

Links

Frequently asked questions

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