storytelling architect

Stop sending generic marketing copy that your competitors could have written. This skill forces AI to move beyond "high-level" fluff by grounding every sentence in hard facts, real numbers, and specific audience awareness levels. It solves the problem of hallucinated testimonials and vague value propositions that plague standard LLM outputs.

What it does

• Framework selection picks the optimal narrative structure (e.g., BAB, False Start) based on channel, goal, and audience awareness.
• Fact-grounding ensures every claim about results or offers is backed by the brief, otherwise it uses specific placeholders.
• Visual scaffolding generates image prompts, infographic briefs, and deck structures that mirror the narrative flow.
• Assumption tracking flags sector-specific difficulties for user confirmation rather than stating them as absolute truths.
• Integrity checking blocks the generation of fake testimonials, invented percentages, or manipulated urgency.

How it works

1. Briefing: You provide the goal, channel, audience profile, and raw facts.
2. Analysis: The skill selects a framework and identifies what is data-backed vs. what requires a placeholder.
3. Drafting: It produces a narrative draft (or a skeleton if facts are missing) using one or two combined frameworks.
4. Verification: It runs a blocking check to ensure no figures or names were invented.
5. Expansion: It offers or generates visual outputs like slide structures or image prompts based on the final text.

Frameworks & tools

Uses narrative models including Before-After-Bridge (BAB) and False Start. Works with standard prompt-based interfaces like Claude or Cursor.

Why this beats prompting it yourself

Standard prompts often result in the AI "filling in the blanks" with plausible but fake data. This skill strictly prohibits hallucinated facts, using a placeholder system that forces you to provide real evidence, resulting in copy that actually converts.

Use cases

• Landing page copy that maps features to real user problems.
• Cold outreach sequences tailored to specific audience awareness stages.
• Pitch decks structured slide-by-slide around a cohesive narrative arc.
• Case studies built on verified customer data without fabricated praise.

Known limitations

Does not support neutral informative text like manuals or FAQs. It will not write fake testimonials or mimic specific celebrity voices. Requires raw facts to produce prose; otherwise, it returns a skeleton.