GTM:OS

The problem

Solo founders and consultants don’t need Salesforce. They need a morning brief that tells them who to follow up with, a way to qualify leads without guesswork, and outreach that doesn’t sound like a template. But the tools that do this cost hundreds per month and require weeks of setup.

What GTM:OS does

GTM:OS turns a markdown file into a go-to-market operating system. You track your pipeline in a simple table - leads, stages, next actions - and GTM:OS gives you the workflows that enterprise sales teams pay thousands for.

Type /gtm-today and get a morning brief. Type /gtm-qualify Acme and get a structured assessment. Type /gtm-personalize Stefan and get research-backed outreach variants written in your voice.

Skills

Command	What it does
/gtm-today	Morning brief - overdue follow-ups, due today, pipeline snapshot
/gtm-pipeline	Pipeline hygiene - stale leads, missing actions, conversion metrics
/gtm-qualify	6-question decision filter: pursue, explore, or decline
/gtm-deep-dive	ICP analysis from real pipeline data - distribution, gaps, refinements
/gtm-signals	Buying signal research - job postings, funding, hiring, tech stack changes
/gtm-prep	Meeting prep - attendee profiles, talking points, objection handling
/gtm-personalize	Research a prospect and write personalized outreach variants
/gtm-sequence	Multi-touch outreach sequence with timing and conditional branches

Agents

Three agents handle deeper, research-heavy work:

• Researcher - builds prospect dossiers with cited sources and company context
• Copywriter - generates outreach copy matched to your voice guide, with multiple variants
• Analyst - pipeline analytics: conversion rates, velocity, segment performance

How it works

1. Install - uv tool install gtm-os && gtm-os install --ai claude (also supports Codex and Cowork)
2. Point at your pipeline - GTM:OS reads a pipeline.md file with your leads and next actions
3. Run commands - slash commands in your AI assistant, results in seconds

Your data never leaves your machine. Everything runs through your AI assistant’s context window - no external APIs, no databases, no accounts to create.

Under the hood

• Architecture: Python CLI that installs markdown prompt files as Claude Code skills/commands
• Skill format: YAML frontmatter + markdown body, compatible with Claude Code, Codex, and Cowork
• Framework: Built on the same skill architecture as sp3cmar
• Install: uv tool install or pip install, with --ai flag for target platform

Status

Publicly released and open source. Built for solo founders, consultants, and small teams who prefer markdown over CRM software.