Elite AI Output Needs Foundational Context, Not Just Skills
AI marketing skills yield average results because they start from zero without shared context; build a 'Pixar Brain Trust' foundational layer of 4 MD files—Audience Delight Profile, Creator Style, Market Positioning Map, Customer Journey Intelligence—to make every skill produce world-class content.
Replace Internet-Average Skills with a Shared Intelligence Layer
AI skills like hook generators, ad copy creators, or newsletter tools produce competent but uninspiring output because they average the internet's generic knowledge—each starts from zero, lacking your unique context. Fix this by building a foundational layer of core MD files, mirroring Pixar's Brain Trust: a shared system of collective wisdom that elevated Toy Story sequels and revived Disney Animation (e.g., Frozen, Zootopia) without changing talent or tools. Prioritize this layer over skills; it ensures consistent, differentiated results across content, positioning, and campaigns. Update files quarterly with performance data (e.g., feed Claude top-performing outputs to extract winning patterns) to compound improvements—every skill referencing the layer gets smarter automatically.
Four Complementary MD Files That Delight Audiences and Win Markets
Audience Delight Profile replaces stale ICPs (demographics/technographics) with emotional hooks: who they are in their words (e.g., Notion users: "person who has their shit together"), what lights them up (templates saving time, tool replacement pride), sharable content they forward, frustrations ("Confluence is where docs go to die"), vocabulary (say "second brain," not "knowledge management system"), pulls/pushes (real screenshots vs. generic advice), objections. Impact: Crafts emotionally resonant content that sparks engagement and shares.
Creator Style swaps boring brand guidelines for voice mechanics: one-sentence voice summary, 5 traits (conversational not corporate, playful not silly), patterns (openings like questions, closings with CTAs), always/never rules (em-dashes yes, verbosity no), sounds-like examples. Keeps files short to avoid AI confusion. Impact: Ensures output sounds authentically like you or your inspirations, grounding audience delights in your style.
Market Positioning Map ditches dusty slide decks for live competitive intel: your claim (e.g., Notion's cross-functional workspace), rivals' wins/weaknesses, owned vs. contested territory (AI workspace contested; anti-SaaS whitespace), market shifts (AI collapsing functions). Update quarterly. Impact: Skills generate differentiated positioning that exploits gaps without hallucinating competitors.
Customer Journey Intelligence evolves funnels into dynamic paths: discovery channels (YouTube, Reddit for Notion), awareness triggers/emotions (cross-ref to Audience file), evaluation objections/comparisons, conversion ahas (linked databases), stalls/churn (team non-adoption), expansion proof (template library). Impact: Tailors output by stage—awareness hooks, sales rebuttals, retention plays—for higher acquisition, conversion, and LTV.
These files interlink without overlap (e.g., journey refs audience delights), staying concise for AI efficiency.
Auto-Load Relevant Context to Skills Without Overload
Store files in a /foundational/ folder. Each declares usage via header: "Load for content (blogs, social, emails); skip for pure audience/competitive data." Skills start with a scan block: check headers against task, include only matches (e.g., blog skill loads Audience + Style + Positioning; competitive analysis skips Style). Result: Contextual precision prevents dilution, scales to 20+ files per team (e.g., content vs. sales layers). Download Kieran's free templates to bootstrap with Claude.