Gtm Philosophy

Organization

swan-gtm

gtm-philosophy

Use this skill when defining outbound strategy, training sales teams, or establishing GTM fundamentals. Core principles — scale what top performers do, signal-based outreach, lead with pain, segment don't over-personalize — plus multi-channel coordination and key mindsets on personalization, volume, timing, and messaging.

Overview

Publisher	swan-gtm
Repository	`gtm-skills`
Skill name	`gtm-philosophy`
Stars	216
Forks	103
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by swan-gtm on GitHub. Read the source before you install it.

Installation

Install the Gtm Philosophy 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/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/gtm-philosophy
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/swan-gtm/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/alex-vacca/gtm-philosophy .claude/skills/gtm-philosophy

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

Use it in TypingMind

Enable Gtm Philosophy 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 Gtm Philosophy 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 Gtm Philosophy 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.

Core GTM Philosophy

Fundamental Principles

Scale what top performers do - Study best reps, systematize their approach
Diagnose before prescribing - BIPSY framework: Behaviors, Individual, Process, Skill, You
Signal-based outreach = 3-4x higher contract values
You can't burn your TAM - Re-engage with new angles
Lead with pain, not features - HockeyStack approach: "Do you have problems tying brand awareness to revenue?"
Segment and convert, don't over-personalize - Gorgias went from 200 sequences to 10 modular ones

Multi-Channel Coordination

The Data:

Email + ads + referrals = extra $2M ARR (case study)
ABM approach = 36% meeting rate vs 10% non-ABM
Warm before you touch principle

Coordination Strategy:

Channel	Role	Timing
Ads	Warm up, build awareness	Before outreach
Email	Primary outreach	Day 1
LinkedIn	Secondary touch	Day 2-3
Phone	High-intent follow-up	After engagement
Referrals	Leverage network	Throughout

Key Mindsets

On Personalization

Personalize to the person, not just the company
Use specific numbers, not vague claims
Research should inform approach, not just first line

On Volume vs Quality

Quality signals beat high volume
100 signal-based emails > 1000 cold emails
Stack signals for heat scoring (3+ signals = reach out same day)

On Timing

New role signals peak at days 14-45
Website visitors: act within 24-48 hours
Funding announcements: wait 2-4 weeks

On Messaging

Lead with pain, not features
Soft CTAs outperform hard asks
Humor reduces tension and increases response

Combines with

Skill	Why
`buying-signals-6`	Implement signal-based philosophy
`outreach-4-categories`	Categorize leads properly
`sdr-outbound-rules`	Apply philosophy to daily execution
`josh-braun-copywriting`	Write messages that lead with pain

Example prompts


How should I structure multi-channel coordination for a $50K ACV deal?


Explain the BIPSY framework for diagnosing my SDR team's issues.


How do I balance volume vs quality for a mid-market SaaS product?

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Frequently asked questions

What does the Gtm Philosophy AI skill do?

Why use Gtm Philosophy on TypingMind?

Because you install it once and use it with any model. Gtm Philosophy 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 Gtm Philosophy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/swan-gtm/gtm-skills/tree/main/skills/alex-vacca/gtm-philosophy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gtm Philosophy?

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 Gtm Philosophy?

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

Is the Gtm Philosophy AI skill free?

Yes. It is published on GitHub by swan-gtm 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

Core GTM Philosophy

Fundamental Principles

Multi-Channel Coordination

Key Mindsets

On Personalization

On Volume vs Quality

On Timing

On Messaging

Combines with

Example prompts

Frequently asked questions

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