Customer Marketing

Community

mia-ppp

customer-marketing

When the user wants a PMM-led post-sale motion for onboarding, adoption, value realization, retention, cancellation-reason synthesis, win-back, expansion, advocacy, references, case studies, champion development, or customer launches. For billing operations, route to the billing/CS owner; for customer research, see customer-research.

Overview

Publisher	mia-ppp
Repository	`PMM-Skills`
Skill name	`customer-marketing`
Stars	76
Forks	2
Bundled files	4
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.
4 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 Customer Marketing 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/customer-marketing
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/customer-marketing .claude/skills/customer-marketing

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

Use it in TypingMind

Enable Customer Marketing 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 Customer Marketing 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 Customer Marketing 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.

Customer Marketing

Orchestrate customer-facing PMM programs across onboarding, adoption, value realization, expansion, and advocacy. This skill owns the objective, audience, message brief, proof plan, coordination, and learning. It does not own Customer Success operations or final channel assets.

Activation and commercial boundaries

product-activation owns first-value definitions and experience briefs; this skill orchestrates post-sale cohort programs with Product/CS. upgrade-conversion owns in-product upgrade eligibility/timing and pricing-strategy owns commercial terms. Expansion campaigns consume those approved decisions.

Retention and win-back mode

Read retention briefs for cancellation-reason synthesis, cohort hypotheses, retained-value measurement and learning loops. Own value realization, respectful retention briefs and win-back triggers. Preserve easy cancellation and consent; never invent save offers, discounts or roadmap promises. Billing retries, payment-provider configuration and access management route to operational owners. PMM may brief truthful payment-recovery communication but does not run billing. Read customer review programs when reviews support advocacy; no coerced or fabricated reviews.

Before planning

Read ../_shared/evidence-gaps.md and ../_shared/ssot-consumption.md. Load the project manifest's relevant approved context and record sources used. Read ../_shared/segment-selection.md only when choosing audiences; inherit accepted segment decisions without redefining canonical ICP.

Workflow

Select the relevant customer role and lifecycle situation. The buyer and the user may differ; preserve that distinction in program and asset briefs.

Choose one primary objective: adoption, retention support, expansion, advocacy, reference creation, or customer evidence collection.
Define eligible customer cohort using evidence such as lifecycle, product usage, account tier, persona, use case, or documented opportunity. Do not infer satisfaction, readiness, or expansion potential.
Identify customer need, desired action, barriers, owner, consent, timing, and appropriate CS/Sales coordination. Keep any unsupported rationale labeled.
Build the canonical message brief and select approved proof. Case study and outcome claims require customer permission and source verification.
Route email to email-sequence, community coordination to community-marketing, reference materials or customer-facing sales proof to sales-enablement, and other assets to their channel owner.
Define cohort-level leading indicators and outcomes with source, owner, and window. Record learning and evidence for reuse.

Required output

Inputs and assumptions; objective and cohort; eligibility/evidence; customer value and intended action; message/proof brief; cross-functional roles; asset handoffs; measurement; consent/readiness gaps; and ranked evidence gaps. Output quality: output-quality-check can verify objective/cohort fit, evidence labels, readiness safety, proof/consent gaps, clear owners, measures, and explicit handoffs.

Boundaries and feedback

Retention programs belong here; billing operations, payment retries, provider configuration and access management belong to external billing/CS operations.
community-marketing owns community design, member engagement, and community advocate programs. This skill may define a customer-community objective and hand it off.
customer-research owns research design and evidence synthesis, including the reusable VoC language bank. Route collected quotes/feedback there.
revops owns lifecycle definitions, CRM automation, routing, and revenue process. analytics-tracking owns instrumentation.
Route any proposed canon change through ssot-context-loop; do not edit SSOT. Customer campaigns and case studies are market-facing and should pass messaging-consistency-audit after output-quality-check.

Related skills

community-marketing, customer-research, email-sequence, sales-enablement, revops, analytics-tracking, 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.

Frequently asked questions

What does the Customer Marketing AI skill do?

Why use Customer Marketing on TypingMind?

Because you install it once and use it with any model. Customer Marketing 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 Customer Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mia-ppp/PMM-Skills/tree/main/skills/customer-marketing. 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 Customer Marketing?

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 Customer Marketing?

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

Is the Customer Marketing 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

Customer Marketing

Activation and commercial boundaries

Retention and win-back mode

Before planning

Workflow

Required output

Boundaries and feedback

Related skills

Bundled files

Frequently asked questions

Related AI Skills

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