Converts anonymous traffic into known contacts — lead magnets, gated content, free tools, popups, and the forms behind them. Use this to design or improve a lead magnet, plan a free tool, add or fix popups and overlays, improve form conversion, or decide what is worth gating and what should stay open.
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Every gate trades reach for contacts. That trade is worth making only when the contact is genuinely worth more than the reader — which is true far less often than it is assumed.
Gate: things with immediate practical utility that a buyer would use during evaluation — templates, calculators, assessments, data. Do not gate: thought leadership, anything you want cited or shared, or anything a competitor publishes openly.
The test is whether someone would pay a small amount for it. If not, it will not earn an email address that gets used.
The best ones are things people use rather than read: a template that saves an afternoon, a calculator that answers a specific question, a checklist for a process they are mid-way through. An ebook that restates blog posts is not one.
Match the magnet to a stage. Someone downloading a beginner's guide is not ready for a sales call, and treating them as if they are burns the list.
The strongest form: durable, earns links, and qualifies by use rather than by claim.
Build one only if it does something genuinely useful standalone, and keep the gate light — let people use it, and ask for the email to save or export the result. Gating before value is delivered converts a fraction as well.
Popups work and are widely hated; both facts matter.
Every field costs conversion. Ask for what you need to do the next step and nothing for a later one — enrichment can fill the rest. Explain any field whose purpose is not obvious, since unexplained fields are where people abandon.
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
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Designs and audits who can reach what — authentication, authorization models, privileged access, service credentials, and joiner-mover-leaver process. Use this to design a permissions model, run an access review, reduce standing privilege, handle offboarding, set up SSO or MFA, manage service and machine credentials, or diagnose why permissions have sprawled.
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Concentrates marketing and sales effort on a named set of accounts rather than on volume — qualifying whether the model fits your economics at all, building the account list and the buying group inside each, tiering effort against account value, coordinating so the account experiences one campaign rather than several, and measuring account progression instead of leads. Use this to decide whether to run an account-based program, build one, or work out why an existing one produces activity and no pipeline.
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Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Use this to design or fix signup and onboarding, diagnose why signups do not convert to active use, reduce time-to-value, or decide what a new user must accomplish first.
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Designs orchestrator-and-subagent hierarchies for a repository — splitting agents by exclusive write surface, pairing every producer with an independent auditor, and enforcing the split with a script that runs in CI. Use this whenever the user wants to set up, expand, audit, or fix a multi-agent or subagent structure for a codebase; asks how to divide work between agents; wants agent charters, roles, or a surface map written; or is hitting agents that collide on the same files, review their own work, or drift from their remit. Also use when sizing a roster or deciding whether a new agent is justified.
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Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory exposure, or when deciding whether an AI system is fit for a consequential decision.
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Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.
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