Enterprise sales context interview
Skill Giving-Back-Studio/growth-agent/skills/enterprise-sales-context-interview
Growth Agent — open-source skills that turn the AI you already use into a growth partner for your business, powered by Earth Care Network
npx -y skills add Giving-Back-Studio/growth-agent --skill enterprise-sales-context-interviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- 12 days oldThe repository was created 12 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Interview an enterprise owner and save accurate sales context in Earth Care Network. Use when brand voice, offer, ICP, buying triggers, proof, objections, response policy, or CTA context is missing, stale, or producing generic outreach.
SKILL.md
1.7 KB, as published. Nobody here has run it
Enterprise sales context interview
Build durable context, not a transcript. Use Earth Care Network MCP tools; stop if they are unavailable.
Resume from what exists
Call get_business_context_private and get_growth_plan. Summarize what is
already known and name the material gaps. Never restart a complete interview or
silently replace owner-approved context.
Interview
Ask one short question at a time. Reflect the answer before moving on and save
approved answers immediately with update_business_context_section.
Cover:
offerings: what people buy, outcomes, boundaries, and delivery constraintsideal_customers: best-fit buyers, exclusions, geography, and decision makersbuyer_segments: buying moments, practical concerns, and the buyer's own wordsvalue_proposition: why the offer fits those momentsoutreach_notes: objections, useful first response, and do-not-say guidancebrand_voice: voice, channel behavior, allowed claims, prohibited claimssignal_response_policy: shared intention, compassionate pattern, CTA, verified destination, supporting links, and affiliation style
Do not infer testimonials, prices, results, credentials, availability, or other claims. Record an unknown as an open question.
Confirm
Read back the resulting context in a compact summary. Apply corrections, then
call get_business_context_private again and report exactly which sections were
updated.