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By creating a skill that connects to an image generation API (e.g., Gemini), you can empower Claude Code to create technical diagrams. Feed it the context of a Product Requirements Document (PRD), and it can generate a relevant architecture diagram, embedding visual creation into your workflow.

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The Codex app's power extends beyond coding. By combining the language model with 'skills' for Image Gen and PDF creation, an engineer wrote, illustrated, and formatted a personalized children's book for his daughters, showcasing creative, multi-modal agent workflows.

A powerful AI workflow involves two stages. First, use a standard LLM like Claude for brainstorming and generating text-based plans. Then, package that context and move the project to a coding-focused AI like Claude Code to build the actual software or digital asset, such as a landing page.

Create a custom Claude Code skill that sends a spec or problem to multiple LLM APIs (e.g., ChatGPT, Gemini, Grok) simultaneously. This "council of AIs" provides diverse feedback, catching errors or omissions that a single model might miss, leading to more robust plans.

Users can now upload instructional files to teach Claude AI specific abilities. This allows the AI to perform complex, branded tasks like creating presentations or designing posters according to a company's unique style guide, effectively turning it into a personalized expert assistant.

A repeatable workflow exists for non-technical builders: research ideas with Perplexity, formalize a Product Requirements Document with Claude, generate a frontend prototype with Magic Patterns, and then deploy the code in Replit with a Supabase backend.

The process of building AI tools is becoming automated. Claude features a 'Skill Creator,' a skill that builds other skills from natural language prompts. This meta-capability allows users to generate custom AI workflows without writing code, essentially asking the AI to build the exact tool they need for a task.

Cues uses 'Visual Context Engineering' to let users communicate intent without complex text prompts. By using a 2D canvas for sketches, graphs, and spatial arrangements of objects, users can express relationships and structure visually, which the AI interprets for more precise outputs.

Instead of overloading the context window, encapsulate deep domain knowledge into "skill" files. Claude Code can then intelligently pull in this information "just-in-time" when it needs to perform a specific task, like following a complex architectural pattern.

Go beyond creating pretty pictures. The real power is using an AI to reason through the logic of visual communication. Prompt it to determine the best way to visualize a concept (e.g., flowchart vs. 2x2 matrix) and explain the trade-offs, turning it into a tool for strategic communication.

Feed AI coding tools text-based Mermaid diagrams which compress complex application logic into a format AIs can parse much faster and more accurately than raw code. This improves the quality and speed of AI-generated work by providing compressed, robust context.

Equip Claude Code with Image Generation APIs to Create PRD Visuals Like Architecture Diagrams | RiffOn