Account Based Marketing

Community

mia-ppp

account-based-marketing

When the user wants to select target accounts, tier them, map buying committees, and coordinate account or account-cluster GTM plays. For campaign assets, see channel skills such as cold-email, email-sequence, marketing-copy, and social-content.

Overview

Publisher	mia-ppp
Repository	`PMM-Skills`
Skill name	`account-based-marketing`
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 Account Based 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/account-based-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/account-based-marketing .claude/skills/account-based-marketing

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

Use it in TypingMind

Enable Account Based 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 Account Based 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 Account Based 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.

Account-Based Marketing

Own PMM strategy and orchestration from ICP to account learning. This is not a generic campaign generator. Read ../_shared/evidence-gaps.md, ../_shared/ssot-consumption.md, and ../_shared/segment-selection.md when selecting audiences. Carry accepted canonical ICP and positioning forward.

Workflow

Separate reusable persona intelligence from verified account facts and account hypotheses when selecting plays and briefing asset owners.

Define objective, scope, timeframe, and decision owner.
Consume accepted ICP/segment decisions. If absent, route ICP selection to icp-and-buyer-personas or market-entry-brief; do not create a competing ICP.
Set account inclusion/exclusion criteria using available evidence. Record source, date, and missing data. Never invent intent, tools, initiatives, executive views, or account pain.
Tier accounts and choose 1:1, 1:few, or 1:many according to evidence, strategic value, customization capacity, and repeatable shared needs. Mark unsupported tier logic as Assumed or Gap.
Map known buying-committee roles, likely jobs/triggers/barriers, and unknowns. Separate known account evidence from account or cluster hypotheses.
Build a contextual message hypothesis from canonical messaging. Select relevant approved proof. Do not independently redefine positioning or claims.
Plan coordinated plays with owner, audience, timing, objective, handoff, and follow-up. Define Marketing, SDR, AE, and CS responsibilities where relevant.
Define engagement and business outcome measures, data source, window, baseline, and target only where supported. Distinguish influence from causality; capture learnings and review account hypotheses.

Required output

Inputs and assumptions; objective; canonical ICP/message and version; account selection criteria and evidence; tiering and motion rationale; buying-committee map; known facts vs hypotheses; account/cluster message and approved proof; coordinated play table; team responsibilities; measurement; learning plan; and ranked evidence gaps. Output quality: output-quality-check verifies these sections, labeling, evidence traceability, absence of fabricated personalization, and that hypotheses remain hypotheses.

Handoffs and governance

Route persona/committee gaps to icp-and-buyer-personas; account systems and routing to revops; measurement instrumentation to analytics-tracking; event plays to events; rep talk tracks to sales-enablement; execution assets to cold-email, email-sequence, marketing-copy, social-content, and paid-ads as needed. Do not write those assets here. Final market-facing ABM messaging goes through messaging-consistency-audit. Canon conflicts or repeated evidence that challenges ICP go to ssot-context-loop for review and human approval. ABM does not change canon.

Related skills

icp-and-buyer-personas, market-entry-brief, sales-enablement, events, cold-email, email-sequence, marketing-copy, social-content, paid-ads, 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.

evals/evals.json3 KB

Frequently asked questions

What does the Account Based Marketing AI skill do?

Why use Account Based Marketing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mia-ppp/PMM-Skills/tree/main/skills/account-based-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 Account Based 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 Account Based Marketing?

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

Is the Account Based 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

Account-Based Marketing

Workflow

Required output

Handoffs and governance

Related skills

Bundled files

Frequently asked questions

Related AI Skills

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