S4h Communication Medium Selection logo

S4h Communication Medium Selection

Organization
human-avatar
s4h-communication-medium-selection

Matches the message to the right channel and format — the same content in the wrong medium loses most of its effect. Triggers: 'which channel', 'email vs meeting', 'should this be async or sync', 'medium fit', 'how should I deliver this'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-communication-medium-selection
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 Medium Selection 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-medium-selection
  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-medium-selection .claude/skills/s4h-communication-medium-selection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Communication Medium Selection 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 Medium Selection 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 Medium Selection 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 Medium Selection

The same content delivered through the wrong medium loses most of its effect. Bad news in Slack destroys trust. A complex decision in an email generates confusion. A routine update in a meeting wastes an hour. Medium selection is not a logistics question — it is a communication design decision that determines whether the message can land at all.


Your Process

Step 1: Message Goal What must the receiver do, feel, or understand as a result of this communication? Be specific. "Understand the situation" is not a goal. "Approve the budget by Friday" is. "Feel heard about the reorg" is.

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

  • Question: "I'm reading this as: [your one-sentence framing of the message, audience, and 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: Urgency How quickly must they act or respond? Hours, days, weeks? Urgency drives the sync vs async question more than any other factor.

Step 3: Emotional Weight Is this message carrying emotional content? Difficult news, a sensitive correction, a celebration, a request that requires trust, a change that affects someone's identity or security? Emotional weight requires channels that allow nuance and reaction.

Step 4: Complexity Does this require back-and-forth to resolve, or can it land cleanly in a single read? Complex decisions with multiple unknowns require synchronous dialogue. Clear information transfers can be async.

Step 5: Match to Medium Apply the selection logic:

  • Difficult news / sensitive topic → sync verbal (in person or video)
  • Complex decision requiring buy-in → meeting with written pre-read
  • Simple update, no action required → async written (email or doc)
  • Permanent record needed → written
  • Emotional connection is the goal → video or in person
  • Fast coordination, low stakes → messaging (Slack, etc.)
  • Formal commitment → written with signature or named acknowledgment

Step 6: Choose Primary and Secondary Medium

Before narrowing: Show the complete set of candidate media that matched in Step 5 to the user first. Use AskUserQuestion:

  • Question: "I've identified these candidate media: [list each matching channel from Step 5]. Before I select the best fit, are there any you'd flag as especially important, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific channel to include
    • Add a missing one — user will describe it

Select the primary channel. If the message needs reinforcement (complex, high-stakes, or high emotional weight), add a secondary: e.g., meeting followed by written summary.


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
    • Channel recommendation only — Which medium and why, skip the full analysis
    • 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

Message assessment:

DimensionAssessment
Goal[What must receiver do/feel/understand]
Urgency[Timeline]
Emotional weight[None / Low / Medium / High — why]
Complexity[One-way or requires dialogue]

Recommended medium: [Primary channel] Secondary medium (if needed): [Reinforcement channel + why]

Rationale:

[2-3 sentences on why this medium fits this message — and what would go wrong in the next-most-obvious alternative]


Notes

The most common error is defaulting to async written (Slack, email) for messages with high emotional weight, because it feels faster and less confrontational. The short-term comfort always costs more in trust and rework than the difficult conversation would have.


What's Next

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

  • Question: "Medium selected. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-communication-audience-modeling — Model the audience for the selected medium
    • /s4h-writing-audience-calibration — Calibrate the writing for the chosen medium
    • /s4h-communication-clarity-audit — Audit clarity for the selected medium
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Communication Medium Selection AI skill do?

Matches the message to the right channel and format — the same content in the wrong medium loses most of its effect. Triggers: 'which channel', 'email vs meeting', 'should this be async or sync', 'medium fit', 'how should I deliver this'.

Why use S4h Communication Medium Selection on TypingMind?

Because you install it once and use it with any model. S4h Communication Medium Selection 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 Medium Selection 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-medium-selection. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Communication Medium Selection?

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 Medium Selection?

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

Is the S4h Communication Medium Selection 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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