Skill UI

A comprehensive guide to configuring and maximizing the potential of Claude Code, an advanced agentic coding tool. This resource details best practices, setup templates (CLAUDE.md), advanced prompting techniques (e.g., thinking keywords), and debugging strategies for building reliable, complex software autonomously.

Guides the setup of Ideogram image-generation projects with layered architecture covering prompt templates, generation services, asset pipelines, and CDN-ready delivery for new integrations or structure reviews.

Guides developers to assemble LangChain LCEL chains and prompt templates for sequential, parallel, and branching LLM workflows with type-safe parsers and reusable components.

Recommends suitable Nano Banana Pro image generation prompts from a 6000+ library, guiding users through direct image requests or illustrating existing articles, videos, or podcasts with matched prompt templates.

Guides engineers through advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability across few-shot learning, reasoning patterns, templates, and system prompt design.

Sanitize user prompts through Google Model Armor templates via the gws CLI command, ensuring outbound safety and supporting stdin, text, or explicit JSON inputs for prompt filtering.

Use production trace data and the ax CLI to locate LLM prompts, collect annotations/evals, and iterate on prompt templates for data-driven improvements.