Run Your Full Go-to-Market With AI

Gives your AI agent dense, opinionated playbooks for each GTM function instead of generic blog-post advice. Most AI agents excel at code and debugging but fail at go-to-market decisions like pricing strategy, ICP definition, cold outreach systems, and retention mechanics. These 18 skills ground AI agents in real 2025-2026 GTM frameworks, current benchmarks, decision matrices with actual numbers, and the full revenue surface so agents can make informed GTM decisions rather than defaulting to generic guidance.

Skills activate based on your task. Ask your AI agent naturally: 'Define our ICP and build an enrichment waterfall' (strategy skills), 'Build a cold outreach sequence for my SaaS' (outbound skills), 'Plan a multi-platform launch' (inbound), 'Create a paid creative system' (paid skills). Use individual skills standalone or combine domains for full-stack GTM workflows. The skills cross-reference each other so context flows between stages.

Your AI agent shifts from generic GTM advice to operator-level guidance with specific frameworks, benchmarks, and decision trees grounded in 2025-2026 market data.

Works with any coding agent that reads markdown skill files. No special dependencies or runtime required. Skills reference external tools (Clay, Instantly, Smartlead, n8n, Make, Zapier) but can be adapted to your existing stack. Best installed as a git submodule or via the Claude plugin marketplace. Requires agent support for reading file-based skill definitions.

Each skill is dense (300-900 lines) and assumes GTM domain familiarity. Not a replacement for domain expertise, but a force multiplier for agents already familiar with your function. Some skills (particularly outbound) require third-party tool setup (Clay, Instantly, Smartlead, etc.) and infrastructure investment. Benchmarks and pricing models are updated for 2025-2026 and should be revalidated quarterly as AI markets shift.