S4h Communication Audience Modeling logo

S4h Communication Audience Modeling

Organization
human-avatar
s4h-communication-audience-modeling

Maps what the audience currently believes, actually cares about, and fears before communicating — because communication fails at the receiver, not the sender. Triggers: 'model the audience', 'audience analysis', 'who am I talking to', 'what do they care about', 'why aren't they getting it'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-communication-audience-modeling
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 Audience Modeling 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-audience-modeling
  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-audience-modeling .claude/skills/s4h-communication-audience-modeling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Communication Audience Modeling 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 Audience Modeling 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 Audience Modeling 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 Audience Modeling

Communication fails at the receiver. The sender almost always knows what they meant — the question is what the receiver hears, given what they currently believe, what they actually care about, and what they are trying to protect. Modeling this before communicating is the most leverage-bearing preparation step there is.


Your Process

Step 1: Name the Specific People Don't model "the team" or "leadership." Name the individuals or segments who will receive this message. Different people in the same meeting need different models.

Framing check: Confirm the message, the audience, and the goal before continuing. State what you've identified — the specific communication being planned, who it's directed at, and what outcome it needs to achieve — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the message, the audience, and the communication goal]. 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

Step 2: Current Belief What do they already think about this topic? Not what you wish they thought — what they actually think right now. This is the starting position the message must move from.

Step 3: Real Goal What is their underlying motivation? Stated preferences are often proxies for something deeper: security, recognition, autonomy, fairness, control. If you're addressing the stated preference without the underlying motivation, the message won't land.

Step 4: Fear What do they need not to lose? Fear is more motivating than ambition for most people in most professional contexts. A message that threatens something they're protecting will be rejected even if the logic is sound.

Step 5: What Would Change Their Mind — and What Won't What evidence, framing, or social proof would move them? And what — however well-reasoned — will not work on this person? Knowing what won't work is as important as knowing what will.

Step 6: Threshold Condition What must they hear or feel first before they can receive the actual message? Some people need to feel heard before they can listen. Others need certainty about scope. Others need a specific concern addressed before anything else can land.


Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Fears and concerns only — What the audience is most worried about, skip beliefs and goals
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.

Output Format

Audience segments:

Person / SegmentCurrent beliefReal goalFearWhat moves themWhat won't workThreshold condition

Message implications:

[What must the message do, in what order, to land for each segment?] [Where do segments conflict — and how should that tension be resolved?]

Highest-risk segment:

[The person or group most likely to reject the message — and why]


Notes

The threshold condition in Step 6 is the most commonly skipped and most valuable element. A message that tries to make its main point before meeting the threshold condition will be filtered out before it arrives.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "Audience modelled. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-communication-objection-mapping — Map the objections this audience will raise
    • /s4h-communication-clarity-audit — Audit whether the message is clear to this specific audience
    • /s4h-writing-tone-alignment — Align tone to the audience model
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Communication Audience Modeling AI skill do?

Maps what the audience currently believes, actually cares about, and fears before communicating — because communication fails at the receiver, not the sender. Triggers: 'model the audience', 'audience analysis', 'who am I talking to', 'what do they care about', 'why aren't they getting it'.

Why use S4h Communication Audience Modeling on TypingMind?

Because you install it once and use it with any model. S4h Communication Audience Modeling 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 Audience Modeling 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-audience-modeling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Communication Audience Modeling?

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 Audience Modeling?

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

Is the S4h Communication Audience Modeling 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇