Part of Run Go-to-Market Operations With AI Context
Marketing Blueprint
Safety checkedSet Up Your GTM Context Library
Populate all context files from your company domain and optional refinement.
What problem does this solve?
Initializes your entire GTM knowledge base by researching your company from public sources and writing every context file automatically. You provide your domain and optional answers to five refinement questions; Claude produces a complete, coherent context library that all other skills will read from.
How does it work?
- Run the setup skill with your company domain. Claude researches your company across Crunchbase, LinkedIn, G2, and your website, then writes all context files (profile, ICP, signals, positioning, competitors, personas) from what it finds. 2. Review the populated repo and the [inferred] fields. 3. Optionally answer five questions about ACV, anti-ICP, top signals, current focus, and competitive nuance to replace inferred fields with your actual data. 4. Claude updates all context files with your answers. Output: a complete, coherent GTM context library ready for all other skills to read.
Included Skills
No skills in this group
What's required to run this?
Run once per new company or major GTM change. Requires Claude Code with internet access to research your company publicly. The refinement pass is optional; the kit works with inferred data, but context quality improves with actual answers.
Key Features
Public-data research
Automatically gathers company overview, funding, headcount, tech stack, and personas from Crunchbase, LinkedIn, G2, and your website.
One-shot context writing
Populates all context files (profile, ICP tiers, signals, positioning, competitors, personas) in a single run, not sequentially.
[inferred] field marking
Clearly marks fields that are Claude's best guess, so you know exactly what to refine.
Optional refinement
Offers a 5-question refinement pass to replace inferred fields with your actual win patterns, anti-ICP, and signals.
CLAUDE.md generation
Creates CLAUDE.md with your full context summary so all future skills read it automatically at session start.
About This Blueprint
- Industry
- Technology
More Blueprints to explore
Find, rank, and enrich prospects your partners already sell to with AI
Your warmest prospects are the ones already buying from your partners. Find each one with the right contact and a reason to reach out, so your team stops splitting their time across a cold list.
Automated Data Pipeline for Reliable Data Processing and Business Insights
Avoid inconsistent business reports by validating data quality before transformed records reach analytics and reporting systems. Ongoing pipeline monitoring helps teams catch processing problems before they undermine business insights.
Harikrishnan K.
Data Engineer at Decision Minds