Define Your Strategy, Positioning & Pricing7 skills
ICP definition with enrichment signals, competitive positioning, and pricing model design.
Sales Blueprint
Safety checkedRun Your Full Go-to-Market With AI
2chadboydaMay 2026
18 go-to-market skills covering strategy, outbound, inbound, paid, retention, and operations with current frameworks and benchmarks.
StrategyOutboundInboundPaidRetentionOperations
Install Prompt
Copy this prompt and paste it into your AI agent to install.
What problem does this solve?
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.
How does it work?
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.
Included Skill Groups
Build Signal-Based Outbound Engines11 skills
AI-powered cold outreach, SDR automation, lead enrichment, and personalized video sequencing.
Build Inbound Channels That Bring Buyers4 skills
Multi-platform launches, programmatic SEO, LinkedIn social selling, and content-to-pipeline systems.
Scale Creative Testing and Paid Campaigns2 skills
AI-generated UGC ads and platform-specific paid creative optimization.
Expand Revenue and Prevent Churn2 skills
Consumption-based upsells, churn risk scoring, and partner/affiliate programs.
Automate GTM With Engineering and Metrics10 skills
GTM automation with code, lean founder playbooks, and GTM metrics and dashboards.
What's the biggest win?
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.
What's required to run this?
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.
What should I watch out for?
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.
Key Features
18 playbooks
9,800+ lines covering positioning, pricing, outbound engines, inbound channels, paid creative, retention, and GTM automation
Real frameworks
April Dunford positioning methodology, hybrid pricing models, signal-based prospecting, multi-platform launch strategies, and margin improvement stacks
Current benchmarks
2025-2026 data on reply rates by hook type, open rates by day, margin targets by product archetype, pricing adoption trends
Decision matrices
Charge metric selection framework, archetype-to-GTM motion maps, domain warmup schedules, tier design templates
Agent-native
Works with Claude, GPT, Cursor, Codex, and any coding agent that reads markdown skill files. Includes prompts and structured workflows
Tools in this Blueprint
About This Blueprint
- License
- MIT
- Industry
- Technology
- Skills
- 0 workflows, 0 sub-skills, 18 standalone
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