01-strategy-and-roadma…
After the founder brief, turn it into an honest diagnosis and a prioritized, stage-aware GTM roadmap saved as docs/gtm-cofounder/gtm-roadmap.md. This is the…
Interview the user once and write a docs/gtm-cofounder/founder-brief.md that every other skill reads first, so the advice is about their real business, not a textbook. Use this before anything else, or whenever the agent lacks context on the user's product, ICP, market, or
$ npx -y skills add AIDevGTM/gtm-cofounder --skill 00-start-here --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/00-start-hereContext preview
The summary Claude sees to decide when to auto-load this skill.
Interview the user once and write a docs/gtm-cofounder/founder-brief.md that every other skill reads first, so the advice is about their real business, not a textbook. Use this before anything else, or whenever the agent lacks context on the user's product, ICP, market, or
name: start-here description: Interview the user once and write a docs/gtm-cofounder/founder-brief.md that every other skill reads first, so the advice is about their real business, not a textbook. Use this before anything else, or whenever the agent lacks context on the user's product, ICP, market, or stage, or is giving generic GTM advice.
> Every other skill is only as sharp as what the agent knows about *your* business. This is that context. Do it once, and every skill after it gets personal.
**Use this when:** it's your first time here, or the advice you're getting feels generic and textbook because the agent doesn't actually know your product, your users, or your stage.
Answer **five core questions** and the agent writes a **`docs/gtm-cofounder/founder-brief.md`** in your project, enough to give you a real diagnosis and a roadmap in minutes. Everything else is optional and answered as you go: each skill pulls the deeper questions it actually needs, when it needs them, and tells you what answering unlocks. So you start seeing value fast, and the brief gets richer the more you use it, instead of facing a wall of questions on day one.
And the part that matters most: separate what you have **validated** (a real user who is not your friend told you) from what you are **assuming** (your best guess for now). Assumptions are completely fine to start with. They just get sent to `talk-to-users` to become real, so you never build a beautiful go-to-market on a guess.
Before asking anything, check whether you're running inside the founder's repo. If you are, do a quick, bounded scan first, so the interview sharpens instead of starting cold:
This is a quick scan, not an audit. Do not read code line by line, crawl the whole history, or pull anything sensitive. Draft the brief from what you find and tag those facts `[validated]`, they come from real artifacts, not a guess.
Two cautions:
If you're not in a project (a pasted skill, or no repo), skip this and go straight to the core five.
This is the whole required intake. Answer these and the agent can already diagnose and plan. If you already scanned the repo, don't ask these cold: confirm or refine what you inferred, and spend your questions on what the artifacts can't tell you, the ICP, the buyer, and whether anyone will pay.
1. In one plain sentence, with no jargon, what does it do? 2. Who exactly is it for? (role, company size and shape, technical context) 3. What do they use today instead, and why you over that? 4. Stage and traction: how many users, and do they come back? 5. Your single **strongest asset**: the most powerful, provable thing you have (a marquee logo, a hard number, a real user quote, a live demand signal).
Skip these to start. Each skill asks for the ones it needs, when it needs them. Every question says what answering it unlocks, so you only invest where you want the payoff.
**Positioning and story**
**Buyers and pricing**
#1 Product of The Day @ Product Hunt. The GTM co-founder you don't have. Open-source GTM Agent Skills for developer tools and AI products, for founders, GTM hires, and founding AEs: positioning, first users, launch, pricing. Sharpened by Frankl & Czakon. MIT.
Repo: AIDevGTM/gtm-cofounder
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