Public Agent Skills by mbfinotti on Lightlines.
Diagnoses the evidence-backed root causes of an underperforming ad account and returns a prioritised handoff plan without changing the account.
Produces a budget-pacing report that diagnoses deviations and gives the owner a corrective daily-spend change.
Verifies pre-launch conversion tracking and delivers an evidence-based GO / NO-GO report with a named approver.
Produces an approved, evidence-backed performance-marketing creative brief for one advertising concept.
Designs an executable pre-launch creative test plan with structured cells, sized samples, and pre-registered decision rules.
Builds evidence-based negative keyword lists that reduce wasted paid-search spend without blocking converting queries.
Produces a reasoned affiliate commission structure ready for finance and partner-facing documentation.
Builds an evidence-backed affiliate-fraud rule set with investigation, escalation, and false-positive protections.
Creates a structured affiliate recruitment outreach plan with prospect tiers, legal segments, messages, cadence, and tracking.
Builds a ranked, validated register of actionable signals that precede customer churn.
Designs a partner-program architecture and determines whether the program should launch.
Evaluates one partner’s fully loaded economics to support a sign, scale, renegotiate, or exit decision.
Audits existing pipeline stage definitions for buyer-verifiable milestones and delivers ranked findings, rewritten criteria, and a safe migration plan.
Designs and iteratively delivers a versioned macro revenue-funnel model with stages, conversion assumptions, ownership handoffs, and governance.
Routes a RevOps task to one matching skill and maintains shared project context for future sessions.
Produces an executable account-tiering charter that defines cutoffs, capacities, coverage, and governance from an existing fit score.
Guides one candidate through choosing a sales-career path and producing an audited, benchmark-anchored roadmap.
Designs approved, back-tested sales compensation plans with role-specific pay mixes, measures, payout curves, crediting rules, and governance.
Diagnoses why an existing sales forecast is unreliable and recommends evidence-backed fixes.
Produces an ideal customer profile with criteria, scoring or a founder-stage hypothesis, disqualifiers, and a refresh plan.