S4h Communication Objection Mapping logo

S4h Communication Objection Mapping

Organization
human-avatar
s4h-communication-objection-mapping

Maps likely objections before delivering a proposal — objections that are anticipated feel addressed; objections that land as surprises derail. Triggers: 'anticipate objections', 'what will they push back on', 'steelman the opposition', 'prepare for resistance', 'objection mapping'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-communication-objection-mapping
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 Objection Mapping 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-objection-mapping
  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-objection-mapping .claude/skills/s4h-communication-objection-mapping
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Communication Objection Mapping 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 Objection Mapping 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 Objection Mapping 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 Objection Mapping

Anticipated objections feel handled. Unanticipated objections derail. The difference is not the content of the objection — it is whether the receiver senses that the sender has thought it through. A proposal that addresses likely objections before they are raised signals rigor and respect. One that doesn't signals that the sender only thought from their own perspective.


Your Process

Step 1: State the Proposal Write the proposal clearly — what is being asked, what it proposes to do, and what it asks of the audience (approval, resources, behaviour change, belief change).

Framing check: Confirm the message, the audience, and the goal before continuing. State what you've identified — the actual proposal being analyzed, who it is directed at, and what it is asking them to do — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the proposal, its audience, and the outcome being sought]. 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: List Audience Segments Who will receive this? Different roles and individuals will have different objections. A finance stakeholder's objection to a proposal is structurally different from an engineering lead's, even if both say "this is risky."

Step 3: Generate Objections per Segment For each segment: given what they care about and what they fear, what is their most likely objection? Be specific — "they might push back on cost" is too vague. "They will argue the ROI model assumes usage patterns that contradict last quarter's data" is useful.

Step 4: Classify Each Objection

  • Legitimate: the objection raises a real concern the proposal should genuinely engage with. Dismissing it will damage credibility.
  • Unfounded: the objection reflects a misunderstanding, missing information, or an assumption the proposal already addresses. Requires clarification, not capitulation.

Step 5: Respond to Legitimate Objections For each legitimate objection: what is the honest, direct response? Acknowledge the concern genuinely. Address it specifically. Do not pretend it doesn't exist or soften it into irrelevance — that will be noticed.

Step 6: Pre-emptive Move For each significant objection: is there something in the message itself that could reduce the objection's force without capitulating to it? Pre-empting an objection by raising it yourself is more credible than responding to it when challenged.


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
    • Top 3 objections only — Most likely showstoppers, skip the full map
    • 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

Proposal: [Summary — what is being asked and what is being proposed]

Objection map:

Audience segmentLikely objectionLegitimate / UnfoundedResponsePre-emptive move

Objections to address in the message itself:

[Which objections should be pre-empted in the proposal, not left for Q&A — and why]

Objections to prepare for but not address upfront:

[Which are better handled in dialogue than in the message]


Notes

The classification in Step 4 requires honesty. The temptation is to classify all objections as unfounded — that they reflect misunderstanding rather than legitimate concern. If an objection is legitimate and you dismiss it, you lose credibility on everything else.


What's Next

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

  • Question: "Objections mapped. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-writing-argument — Build arguments that directly address each mapped objection
    • /s4h-communication-clarity-audit — Check that responses to objections are clear
    • /s4h-logic-argument-validation — Validate the arguments you'll use to address key objections
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Communication Objection Mapping AI skill do?

Maps likely objections before delivering a proposal — objections that are anticipated feel addressed; objections that land as surprises derail. Triggers: 'anticipate objections', 'what will they push back on', 'steelman the opposition', 'prepare for resistance', 'objection mapping'.

Why use S4h Communication Objection Mapping on TypingMind?

Because you install it once and use it with any model. S4h Communication Objection Mapping 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 Objection Mapping 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-objection-mapping. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Communication Objection Mapping?

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 Objection Mapping?

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

Is the S4h Communication Objection Mapping 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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