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S4h Communication Clarity Audit

Organization
human-avatar
s4h-communication-clarity-audit

Audits a communication for places where the message will be lost, misread, or misunderstood — before it's sent. Triggers: 'clarity audit', 'will this be understood', 'check my message', 'edit for clarity', 'where will this be misread'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-communication-clarity-audit
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 Clarity Audit 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-clarity-audit
  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-clarity-audit .claude/skills/s4h-communication-clarity-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Communication Clarity Audit 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 Clarity Audit 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 Clarity Audit 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 Clarity Audit

Most clarity failures are invisible to the sender because the sender knows what they meant. The receiver does not have that context, and the gap between what was meant and what is read is where miscommunication lives. This audit finds that gap by reading the message as the receiver would — without access to the sender's intent.


Your Process

Step 1: Read from the Receiver's Perspective Do not read this as the writer who knows what was meant. Read it as someone receiving it cold. What is actually on the page? This requires a deliberate perspective shift — it is the hardest step and the most important one.

Framing check: Confirm the specific message, audience, and goal before continuing. State what you've identified — the actual content being audited, who it's addressed to, and what it's trying to achieve — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the message, its intended audience, and its 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: Structure Check Can the main point be identified within 10 seconds? If not, the structure is obscuring it. Is the structure serving the reader or the writer's thinking process? The two are often different.

Step 3: Jargon Inventory List every term or acronym that requires context the reader may not have. Each one is a potential comprehension failure. Include terms that feel obvious — "obvious" is always relative to what the writer knows.

Step 4: Assumption Inventory What must the reader already know or believe for this message to make sense? State each assumption explicitly. For each: does this reader have this context? If not, the message has a gap.

Step 5: Ask — Is It Clear? Is there a clear action or next step? Is it clear who does what, by when? A message that informs without directing produces nothing. A message that directs ambiguously produces the wrong thing.

Step 6: Name the Most Likely Misreading Before narrowing: Show the complete set of misreadings identified across all steps to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] potential misreadings. Before I select the most likely one, 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 misreading to prioritise
    • Add a missing one — user will describe it

State the single most plausible way this message will be misread or misunderstood by a reasonable receiver. This is the most valuable output — it is the failure that will actually happen if the message is sent as written.


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
    • Breakpoints only — Where this message will be misread or lost, skip what's already clear
    • 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

Issues found:

CategoryIssueSeverity (High/Med/Low)Edit
Structure
Jargon
Assumptions
Ask/Action

Most likely misreading:

[Concrete statement of how a reasonable receiver will misread this — and what they will do or believe as a result]

Priority edits:

  1. [Highest-impact change]
  2. [Second highest]
  3. [Third]

Notes

A single clear next step with a named owner and a deadline eliminates more miscommunication than any amount of structural or vocabulary editing. If the ask is ambiguous, fix that before anything else.


What's Next

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

  • Question: "Clarity audited. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-writing-line-editing — Fix the clarity issues the audit identified
    • /s4h-communication-objection-mapping — Address the objections hiding behind confusing points
    • /s4h-writing-restructure — Restructure if the clarity issues are structural
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Communication Clarity Audit AI skill do?

Audits a communication for places where the message will be lost, misread, or misunderstood — before it's sent. Triggers: 'clarity audit', 'will this be understood', 'check my message', 'edit for clarity', 'where will this be misread'.

Why use S4h Communication Clarity Audit on TypingMind?

Because you install it once and use it with any model. S4h Communication Clarity Audit 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 Clarity Audit 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-clarity-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Communication Clarity Audit?

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 Clarity Audit?

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

Is the S4h Communication Clarity Audit 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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