Run Go-to-Market Workflows With AI Agent Skills

What problem does this solve?

Gives your AI agent domain-specific GTM expertise instead of generic 2021-era advice. This turns a general-purpose AI assistant into a GTM operator that handles pricing strategy, cold outreach sequencing, multi-channel launches, and retention workflows with current frameworks, 2025-2026 benchmarks, and decision matrices with actual numbers.

How does it work?

Once installed, skills activate based on your task. Ask naturally like 'Define our ICP and build an enrichment waterfall' or 'How should I price my AI agent product?' and the agent routes to the relevant skill. Alternatively, invoke directly with commands like `/positioning-icp` or `/ai-cold-outreach`. Skills cross-reference each other, so you can combine them into full-stack workflows or use each individually depending on what you are building.

Included Skill Groups

What's the biggest win?

Your AI agent now delivers current frameworks and competitive positioning instead of generic advice, because each skill packs the decision matrices, benchmarks, and buyer psychology that turn GTM decisions into outcomes.

What should I know technically?

Works with any AI coding agent that reads markdown skill files. No external dependencies. Each skill imports related skills as cross-references, so install the full stack for maximum value. Individual skills work standalone but lack cross-context.

What should I watch out for?

PMF in AI markets is perishable and drifts quarterly. These playbooks assume you revalidate positioning and ICP every 90 days, not once. If you run multi-product GTM or operate in highly regulated verticals with long sales cycles, some frameworks may need adaptation.

Key Features