discovery-calls
Use when planning, running, or summarizing discovery calls to uncover pain, timeline, and authority.
Use when planning, running, or summarizing discovery calls to uncover pain, timeline, and authority.
Use when you need to map sequenced nurture flows with pacing, storytelling arcs, and value ladders.
Use when spacing, sequencing, and pacing multi-touch email programs.
Generate optimized social media posts for Threads, X (Twitter), and LinkedIn. Analyzes platform algorithms, applies best practices, and creates engaging content tailored to each platform. Local skill for Navigator marketing only.
Operating system for intake, approvals, QA, and training across brand stakeholders.
Standard operating guide for campaign tagging, attribution models, and QA.
Use when crafting narratives that connect product value to customer pain through clear setup-conflict-resolution arcs.
Use when planning adoption-to-expansion motions and cross-sell/upsell campaigns.
Use to design and maintain structured renewal/save motions across segments and risk levels.
Master cold email, LinkedIn, and first-touch prospect outreach. Use when crafting outbound sequences, social touches, or follow-ups that must earn fast responses.
Persona + messaging framework for K-12, higher-ed, and workforce enrollment campaigns.
Use to summarize persona goals, pains, proof points, and questions for call prep.
Use when designing experiments for subject lines, offers, cadences, or journeys.
Complete cold email system teaching research-driven personalization, "poke the bear" openers, custom signal hunting, and strict QA.
SQL query optimization patterns including EXPLAIN plan analysis, index strategies, query rewriting, and N+1 query prevention. Use when optimizing slow database queries, analyzing query performance, designing indexes, or debugging database bottlenecks. Works with PostgreSQL, MySQL, SQLite, and other SQL databases. Typical improvements: 10x-1000x query speedup.
Toolkit for structuring hypotheses, variants, guardrails, and measurement plans.
Detect quality drops in AI output and prompt re-anchoring. Auto-triggers after repeated corrections, context confusion, or when user says "something seems off", "you're not getting this".
Use when reallocating spend across channels/ad sets or setting guardrails to stay on plan.