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Hermes Tweet

CommunityPopular
davepoon
hermes-tweet

Use Hermes Tweet when a Claude Code workflow needs a source-aware handoff to Hermes Agent for X/Twitter research, account context, monitoring, or approval-gated actions through the native Hermes Agent plugin.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill namehermes-tweet
Stars
3.6K
Forks
586
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 davepoon 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.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/hermes-tweet
  4. 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.
2

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/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/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 native Hermes Agent plugin for X/Twitter automation through Xquik. Use this skill when the user specifically wants Claude Code to prepare or operate a Hermes Agent workflow with Hermes Tweet installed.

GitHub: Xquik-dev/hermes-tweet

When to Use This Skill

  • The user asks for a Hermes Agent X/Twitter plugin, Hermes social listening, or Hermes-backed X automation.
  • The workflow needs tweet or profile research inside Hermes Agent before drafting code, docs, releases, or launch messaging.
  • The user wants read-first monitoring, support triage, giveaway auditing, or campaign context through Hermes Agent.
  • The user explicitly wants controlled X/Twitter actions through Hermes Agent with an approval gate.

Do not use this skill for generic X/Twitter API work, social publishing platforms, or Rube MCP workflows. Use those dedicated skills instead when Hermes Agent is not part of the request.

Setup

Install and enable the plugin in Hermes Agent:

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

Hermes prompts for XQUIK_API_KEY during interactive installation. For non-interactive, desktop gateway, or CI-style sessions, set the environment variable on the host that runs Hermes plugin tools:

bash
export XQUIK_API_KEY="xq_YOUR_KEY_HERE"
export HERMES_TWEET_ENABLE_ACTIONS="false"

Keep HERMES_TWEET_ENABLE_ACTIONS=false for research, monitoring, audits, and unattended sessions. Set it to true only for an explicit user-approved session that needs posting, DMs, follows, media changes, monitors, or webhooks.

Operating Pattern

  1. Confirm hermes plugins list shows hermes-tweet as installed and enabled.
  2. Start with tweet_explore for no-network orientation and available-workflow guidance.
  3. Use read-only tweet_read workflows for search, tweet lookup, account context, threads, replies, monitors, or audits.
  4. Before any action workflow, restate the exact intended action and require explicit user approval.
  5. Enable HERMES_TWEET_ENABLE_ACTIONS=true only for the approved action session, then set it back to false.
  6. Never print API keys, session material, cookies, private account data, or hidden runtime details.

Example Prompts

text
Use Hermes Tweet in Hermes Agent to research replies to this launch post, then summarize common support issues.
text
Prepare a read-only Hermes Tweet workflow for monitoring mentions of this release keyword.
text
After I approve the final text, use Hermes Tweet through Hermes Agent to publish the post.

Troubleshooting

  • If only tweet_explore is available, configure XQUIK_API_KEY and restart the Hermes session or gateway.
  • If read tools work but action tools are missing, confirm HERMES_TWEET_ENABLE_ACTIONS=true for that approved session.
  • If Hermes reports the plugin as installed but not enabled, run hermes plugins enable hermes-tweet.
  • If Desktop connects to a remote gateway, set the environment variables on the gateway host, not only on the desktop client.

Frequently asked questions

What does the Hermes Tweet AI skill do?

Use Hermes Tweet when a Claude Code workflow needs a source-aware handoff to Hermes Agent for X/Twitter research, account context, monitoring, or approval-gated actions through the native Hermes Agent plugin.

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/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/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 davepoon 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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