Message Consistency Check logo

Message Consistency Check

Organization
pmalliance
message-consistency-check

Read every customer-facing surface you ship - website, decks, one-pagers, emails, ads, product copy - in one pass and report where your core message says different things in different places. Prioritizes the mismatches by how visible and how high-stakes the surface is. Use before a launch, after a repositioning, when onboarding to a role and auditing what's already out there, or when the story feels inconsistent but no one has read all of it side by side. Triggers: "is our messaging consistent," "audit our copy," "does our website match our deck," "message audit," "we repositioned, what still says the old thing."

Overview

Publisherpmalliance
Repositoryproduct-marketing-skills
Skill namemessage-consistency-check
Stars
77
Forks
12
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 pmalliance on GitHub. Read the source before you install it.

Installation

Install the Message Consistency Check 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/pmalliance/product-marketing-skills/tree/main/pmm-signal-pack/skills/message-consistency-check
  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/pmalliance/product-marketing-skills.git /tmp/product-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/product-marketing-skills/pmm-signal-pack/skills/message-consistency-check .claude/skills/message-consistency-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Message Consistency Check 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 Message Consistency Check 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 Message Consistency Check 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.

Message Consistency Check

What this does

Takes your customer-facing material together and finds the places where your core message is not telling the same story. It reports where the category you claim, the primary value you lead with, the audience you speak to, and the proof you cite differ from one surface to the next - then ranks those mismatches so you fix the ones that matter first.

No single person usually reads the website, the sales deck, the pricing page, the nurture emails, and the ad copy in one sitting. That is why messaging fractures quietly after a repositioning or a fast launch. This job does the reading no one has time for.

Why this is a Fable-recommended job

Consistency can only be judged by comparison, which means every surface has to be in view at the same time. Claude Fable 5 can hold your full set of live copy in a single run and line it up surface against surface, which is what makes the mismatches visible.

If Fable is not available or the budget is spent: pick one surface as the reference (usually the current homepage or the approved messaging doc), then compare each other surface against it one at a time. Slower, and it can miss mismatches between two non-reference surfaces, but it works.

Evidence to gather first

  • Homepage and key website pages
  • Sales deck and pitch deck
  • One-pagers, solution briefs, battlecards
  • Pricing page
  • Email sequences and nurture copy
  • Paid and social ad copy
  • Product UI copy and onboarding, if relevant

Read .agents/product-marketing-context.md first if it exists. If there is an approved messaging framework, use it as the reference standard everything is checked against.

Process

  1. Establish the reference. Either the approved messaging framework, or - if there isn't one - the current homepage as the de facto source of truth. State which you used.
  2. For each surface, capture how it renders the core message: category, primary value, target audience, top three claims, and proof used.
  3. Compare across all surfaces. Log every place a surface diverges from the reference or from the others.
  4. Rate each mismatch by surface visibility (how many buyers see it) and stakes (how central the divergent element is).
  5. Produce the report.

Output format

  • Summary - surfaces analyzed, reference used, count of mismatches by severity.
  • Consistency table - message element (category / value / audience / claim / proof) | what the reference says | where it diverges and how | surface | severity.
  • Priority fixes - the handful of mismatches to fix first, with the specific edit for each.
  • Consistency watchlist - lower-stakes divergences worth cleaning up over time.

The evidence standard

Every mismatch must quote the exact wording from each surface involved and name the surface. Do not report a mismatch you cannot show with the actual copy. When two surfaces differ, present both versions rather than deciding which is "correct" unless the reference framework settles it. Severity ratings should be explained in one line, not asserted.

Frequently asked questions

What does the Message Consistency Check AI skill do?

Read every customer-facing surface you ship - website, decks, one-pagers, emails, ads, product copy - in one pass and report where your core message says different things in different places. Prioritizes the mismatches by how visible and how high-stakes the surface is. Use before a launch, after a repositioning, when onboarding to a role and auditing what's already out there, or when the story feels inconsistent but no one has read all of it side by side. Triggers: "is our messaging consistent," "audit our copy," "does our website match our deck," "message audit," "we repositioned, what sti...

Why use Message Consistency Check on TypingMind?

Because you install it once and use it with any model. Message Consistency Check 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 Message Consistency Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pmalliance/product-marketing-skills/tree/main/pmm-signal-pack/skills/message-consistency-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Message Consistency Check?

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 Message Consistency Check?

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

Is the Message Consistency Check AI skill free?

Yes. It is published on GitHub by pmalliance 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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