Your AI agent ships code.
It can't sell your product.
18 dense skill files that turn any coding agent into a GTM operator. Real frameworks. Current benchmarks. Zero fluff.
The GTM blind spot
Ask your AI agent to price a product. You get a blog post about value-based pricing from 2021. Ask it to build a cold outreach sequence. You get a 7-email template that belongs in spam.
These models are capable. They just lack structured GTM knowledge to work from. Without real frameworks, current benchmarks, and decision matrices, every agent defaults to the same surface-level playbook.
The GTM Stack fixes that. 18 skill files, each 300-900 lines of dense, opinionated playbooks covering one GTM function. Drop them into your agent and the output changes immediately.
Six layers. Full revenue surface.
From positioning to operations. Skills cross-reference each other. Use them individually or combine them for compound workflows.
Every skill, at a glance
Each skill is a 300-900 line playbook with frameworks, benchmarks, and decision matrices. All data is current through 2025-2026.
Strategy
ICP definition with enrichment signals, competitive positioning, messaging architecture, perishable PMF
Consumption, workflow, and outcome charge metrics. Copilot vs agent archetypes, BYOK, hybrid models, margin management
PLG vs sales-led vs hybrid vs agent-led selection, value-before-purchase design, time-to-first-value
Outbound
AI outreach stack with Clay + Instantly/Smartlead, 3-line cold email framework, deliverability, sequence design
AI SDR deployment (11x, Artisan, AiSDR), 4-week program, signal-to-action routing, qualification automation
Enrichment waterfalls, ICP scoring formulas, Clay workflows, confidence thresholds, contact verification
"Made this for you" framework, Tavus/Sendspark/HeyGen, personalized video at scale, async selling
Inbound
16+ channel launches, Product Hunt playbook, Hacker News strategy, waitlist building, AppSumo
Programmatic SEO with AI, competitor alternative pages, AI Overviews optimization, DataForSEO + Claude Code
LinkedIn Sales Navigator, DM sequences, content-to-conversation, profile optimization, SSI scoring
Content-led GTM, distribution reverse engineering, multi-platform repurposing, newsletter as pipeline
Paid
AI UGC with Arcads/Creatify, creator recruitment, Spark Ads, whitelisting, creative testing matrix
Meta Advantage+, Google Performance Max, TikTok Smart+, modular testing, creative fatigue, budget allocation
Retention & Growth
Consumption-based upsell triggers, automated CS, churn risk signals, closed-lost re-engagement, NRR
Co-creation partner model, 3-tier comp structure, affiliate programs, PartnerStack/Impact, channel strategy
Operations
GTM automation with n8n/Make/Zapier, instruction stacks, AI agent orchestration, API-first stack design
$50-450/mo tool stack, AI agent teams as org, taste as moat, when to hire, revenue stage playbooks
Revenue latency, TTFV, pipeline per rep, data health scoring, attribution models, GTM dashboards
Three steps to better GTM
Install
One command drops the skill files into your agent's context. Works with any tool that reads .md files.
Ask
Describe what you need in plain language. "Build a cold outreach sequence" or "How should I price my AI product?" The right skills activate automatically.
Execute
Your agent works from dense playbooks with real numbers instead of generic training data. The output is specific, current, and actionable.
Start with a workflow
Pick the goal closest to what you're building. Skills combine automatically.
Stop letting your agent guess at GTM.
Install the skills. Ask naturally. Ship revenue.
MIT License. Free forever.