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S4h Communication

Organization
human-avatar
s4h-communication

Entry point for the communication toolkit. Routes to the right communication skill based on your situation. Use when you say 'communication', 'how do I say this', 'will this land', 'which channel', 'what will they push back on', 'does this make sense', or want communication help without knowing which specific tool fits.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-communication
Stars
234
Forks
24
Bundled files
Instructions only
LicenseMIT
Links
  • 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 human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Communication 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-communication
  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/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-communication .claude/skills/s4h-communication
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Communication 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 S4h Communication 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 S4h Communication 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.

Communication

Applies communication thinking to any message, proposal, or delivery decision. Diagnoses what kind of communication problem this is and applies the right tool.

Which tool fits

You need to...Tool
Understand what your audience actually believes and cares aboutaudience-modeling
Find where a message will be misread or lost before sendingclarity-audit
Choose the right channel and format for the messagemedium-selection
Anticipate and pre-address likely objectionsobjection-mapping

Routing Decision

Framing check: Confirm the message, the audience, and the goal before continuing. State what you've identified — the actual communication situation being addressed — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the message, who it's going to, and what success looks like]. Is that right?"

  • Header: "Framing"

  • Options:

    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding
  • Don't know your audience well or why they're not getting it → audience-modeling

  • Have a draft and want to find where it breaks → clarity-audit

  • Unsure whether to email, meet, async, sync, document → medium-selection

  • About to present something contentious and need to prepare → objection-mapping

  • Unclear → audience-modeling first; communication fails at the receiver, not the sender

Confirm Direction

After diagnosing which tool fits, use the AskUserQuestion tool to confirm direction. Construct the question dynamically to include your diagnosis:

  • Question: "My read: [diagnosed tool] — [one sentence on why it fits]. How would you like to proceed?"
  • Header: "Direction"
  • Options:
    • Yes, run that tool — Execute the diagnosed skill immediately using the context already provided
    • Show all options — List every skill in this category with one-line descriptions
    • Quick version — Run a lighter-weight alternative if one exists for this situation
    • Re-diagnose — Revisit the situation description for a different read

Proceed based on their selection.


Audience Modeling

Maps what the audience currently believes, actually cares about, and fears.

Build a model of the audience before communicating. What do they already believe about this topic? What are their real goals (often different from their stated role)? What do they fear — about the message, the change, the consequences? What would need to be true for them to change their mind or take action? Communication fails not because the message is unclear, but because the sender doesn't model the receiver.

Output: Audience belief map, real goals, fears, and the threshold conditions for a positive response.


Clarity Audit

Finds where a message will be lost, misread, or misunderstood.

Read the message as if you have no prior context. Where does it assume knowledge the reader may not have? Where could a word or phrase be interpreted differently? Where does structure obscure the point? Where is the ask buried or implicit? For each problem: classify as ambiguity (multiple valid interpretations), assumption (missing context), or structure (the architecture hides the message).

Output: Annotated list of clarity problems, classified by type, with specific rewrites for each.


Medium Selection

Matches the message to the right channel and format.

Assess the message against four dimensions: (1) complexity — does understanding require dialogue, or is the content self-contained? (2) tone — does this carry emotional weight requiring presence? (3) record — does this need to be findable later? (4) urgency — how time-sensitive is the response? Map these against available channels. The same content in the wrong medium loses most of its effect — an async message that needed presence, or a meeting that needed a document.

Output: Recommended channel with reasoning, format within that channel, and what to avoid.


Objection Mapping

Maps likely objections before delivering a proposal.

List all stakeholders who will encounter this proposal. For each: what is their likely first objection? What's the deeper concern beneath it? Now assess each objection: is it addressable by changing the proposal, addressable by framing, or genuinely unresolvable? Objections anticipated feel addressed; objections that arrive as surprises derail.

Output: Objection map — stakeholder, surface objection, underlying concern, and how to address it. Flags unresolvable objections the presenter must prepare for.

Frequently asked questions

What does the S4h Communication AI skill do?

Entry point for the communication toolkit. Routes to the right communication skill based on your situation. Use when you say 'communication', 'how do I say this', 'will this land', 'which channel', 'what will they push back on', 'does this make sense', or want communication help without knowing which specific tool fits.

Why use S4h Communication on TypingMind?

Because you install it once and use it with any model. S4h Communication 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 S4h Communication in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-communication. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Communication?

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 S4h Communication?

As many as you like. As long as a model supports skills, you can use S4h Communication with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Communication AI skill free?

Yes. It is published on GitHub by human-avatar 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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