Product Communications

Community

mia-ppp

product-communications

When the user wants a product announcement, media or analyst briefing, executive thought leadership, reactive messaging, or a PR narrative. For launch sequencing, see launch-strategy; for final copy, see marketing-copy.

Overview

Publisher	mia-ppp
Repository	`PMM-Skills`
Skill name	`product-communications`
Stars	76
Forks	2
Bundled files	1
License	MIT
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by mia-ppp on GitHub. Read the source before you install it.

Installation

Install the Product Communications AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/mia-ppp/PMM-Skills/tree/main/skills/product-communications
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.

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/mia-ppp/PMM-Skills.git /tmp/PMM-Skills
mkdir -p .claude/skills
cp -r /tmp/PMM-Skills/skills/product-communications .claude/skills/product-communications

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Communications 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 Product Communications 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 Product Communications 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.

Product Communications

Develop PMM narrative and orchestration for product-related communications. This is not a generic PR agency toolkit. It does not promise coverage, media interest, or analyst endorsement, and it does not own final marketing-copy.

Before planning, read ../_shared/evidence-gaps.md for evidence labels, Inputs and assumptions, and ranked evidence gaps.

Product communications boundary

Own product narrative, newsworthiness, spokesperson briefs and product-related media/analyst coordination. Company, partnership, research or executive material is in scope only when it supports a product/category story. Funding, corporate affairs, investor relations and crises route to the corporate communications owner. Consume approved go-to-market-strategy; final assets remain with execution owners. Read ../_shared/creative-brief.md when briefing announcement visuals or explainer narrative.

Workflow

Distinguish buyer/user intelligence from journalist, analyst or other recipient needs when choosing narrative and outreach.

Define communication objective and audience: product/company/partnership/ funding/research announcement, executive thought leadership, media or analyst briefing, or reactive FAQ.
Identify the actual news or audience-relevant idea. If the announcement has no material change or useful audience reason, say so and recommend a more suitable channel or no announcement.
Load relevant canonical positioning, product truth, claims, and proof using ../_shared/ssot-consumption.md. Record version/files and unresolved gaps.
Develop narrative, message hierarchy, approved proof, spokesperson, support assets, distribution/outreach direction, owners and approvals, and measures.
Mark proposed quotes exactly DRAFT / REQUIRES APPROVAL until approved by the named speaker. Do not simulate external interest or endorsement.
Route final copy to marketing-copy; coordinate product launches with launch-strategy, partnerships with partner-marketing, and asset review with messaging-consistency-audit.

Required output

Inputs and assumptions; objective and audience; newsworthiness assessment; canonical inputs; announcement narrative and hierarchy; proof/claims register; spokesperson and quote status; supporting assets; distribution direction; measurement; approvals, risks, and ranked evidence gaps. Possible formats are an announcement brief, press release structure, media pitch direction, spokesperson points, FAQ, briefing document, or launch narrative. Output quality: output-quality-check can check these requirements, sourcing, approval states, news rationale, and prohibited inventions.

Safety and boundaries

Never manufacture customer/executive/analyst quotes, statistics, adoption, media coverage or interest, endorsements, or leadership claims.
Keep draft claims sourced and approved. External messages are market-facing: use messaging-consistency-audit for vertical SSOT and horizontal asset validation. Output quality and messaging alignment have separate statuses.
Route potential canonical changes through ssot-context-loop; never edit canon. For launch readiness, use launch-readiness-check after the launch assets and approvals are ready.
This skill provides narrative and orchestration. marketing-copy owns final press release, pitch, FAQ, and announcement copy where requested.

Related skills

launch-strategy, launch-readiness-check, partner-marketing, marketing-copy, messaging-consistency-audit, ssot-context-loop, output-quality-check.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

evals/evals.json3 KB

Frequently asked questions

What does the Product Communications AI skill do?

Why use Product Communications on TypingMind?

Because you install it once and use it with any model. Product Communications 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 Product Communications in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mia-ppp/PMM-Skills/tree/main/skills/product-communications. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Product Communications?

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 Product Communications?

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

Is the Product Communications AI skill free?

Yes. It is published on GitHub by mia-ppp 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Product Communications

Product communications boundary

Workflow

Required output

Safety and boundaries

Related skills

Bundled files

Frequently asked questions

Related AI Skills

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