Turn scattered posting into a clear content system
Helps creators define 3–5 content pillars, a repeatable set of formats, and a clear audience promise. Built for creators who feel "all over the place" and struggle to build momentum.
Create a skill called "Pillar Content Architect". Ask me for my goals, audience, and the topics I naturally return to. Then produce: - 3–5 content pillars (name, definition, and what success looks like). - 2 repeatable formats per pillar (e.g., carousel template, short-form "3 tips"). - A "content boundary list" (topics to avoid because they dilute the signal). - A weekly posting structure tied to the pillars. Output must be concise and specific to my niche.
This skill converts your interests, expertise, and goals into a coherent pillar strategy.
It outputs pillar definitions, post templates, and "what not to post" boundaries.
Output: "Reframe into 3 pillars + series angles + boundaries."
Output: "Audience promise + pillar titles + weekly structure."
Pick a niche (or a structure) without feeling trapped
Helps creators resolve niche confusion by defining an audience promise, content pillars, and an experimentation plan that protects creativity. Designed for creators who feel "too scattered" but don't want to box themselves in.
Pick 1–3 channels and actually stick with them
Turn channel confusion into a structured playbook: select channels, define posting cadence and messaging pillars, and set minimum viable measurement — so marketing becomes consistent instead of sporadic.
Rebuild measurement around first-party data, consent, and signal loss
Create a privacy-first measurement architecture that accepts signal loss as permanent: define a durable KPI stack, implement consent-aware tracking priorities, and choose when to use modeled vs deterministic data. Outputs a blueprint plus an implementation backlog for a quarter.
Pick the attribution method that matches your data reality
Helps teams decide when multi-touch attribution (MTA) is still useful vs when to lean on marketing mix modeling (MMM) or incrementality testing. Produces a decision with justification, a minimum data requirements checklist, and a 30-day validation plan.