A Claude Code skill that scopes problems like Peter Naur
Naur's 1985 theory applied to AI agents, but it's just a prompt template.
AI is too verbose. 1pager condenses any convo/thought/workspace into a single 1-pager optimized for human review.
Humanizer skill strips AI tells like 'delve' and em-dash sprees from LLM output.
Developers using Claude Code who need to share concise summaries
Claude Code Skills · JinaAI Reader · Firecrawl
Naur's 1985 theory applied to AI agents, but it's just a prompt template.
Tax filing via Claude beats TurboTax on time, but it's a one-off demo, not a product.
Rust-style error diagnostics for AI feedback when nothing else formats like this.
First GEO linter (92 rules for AI search engines), deterministic analysis, agent auto-fix loop with zero hallucination.
This isn't just prompt chaining — it's a complete methodology baked into a Claude skill that actually closes the loop. The clever part: personas created during early research come back to usability-test the built app before launch, surfacing real UX friction that pure iteration never catches. It generates working Next.js apps with documented artifacts at every stage, which means you get both a product *and* the research trail proving it solves a real problem.
Visual decision trees beat text prompts for UI/UX choices, but needs multi-agent AI tooling to shine.