「elo」の検索結果

Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.

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Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.

日本語の概要は準備中です。原文の説明を表示しています。

You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur

日本語の概要は準備中です。原文の説明を表示しています。

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

日本語の概要は準備中です。原文の説明を表示しています。

PyTorch deep learning development with transformers, diffusion models, and GPU optimization.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.

日本語の概要は準備中です。原文の説明を表示しています。

Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.

日本語の概要は準備中です。原文の説明を表示しています。

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

日本語の概要は準備中です。原文の説明を表示しています。

LLMs, prompt engineering, RAG systems, LangChain, and AI application development

日本語の概要は準備中です。原文の説明を表示しています。

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

日本語の概要は準備中です。原文の説明を表示しています。

Large Language Model development, training, fine-tuning, and deployment best practices.

日本語の概要は準備中です。原文の説明を表示しています。

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive guide for creating and managing skills in Claude Code with auto-activation system, following Anthropic's official best practices including the 500-line rule and progressive disclosure pattern.

日本語の概要は準備中です。原文の説明を表示しています。

Best practices and guidelines for Apache Kafka event streaming and distributed messaging

日本語の概要は準備中です。原文の説明を表示しています。

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

日本語の概要は準備中です。原文の説明を表示しています。

Guide for quality focused software architecture. This skill should be used when users want to write code, design architecture, analyze code, in any case that relates to software development.

日本語の概要は準備中です。原文の説明を表示しています。

Guidelines for developing with Kysely, a type-safe TypeScript SQL query builder with autocompletion support

日本語の概要は準備中です。原文の説明を表示しています。

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

日本語の概要は準備中です。原文の説明を表示しています。

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

日本語の概要は準備中です。原文の説明を表示しています。

15-minute daily taste exercises. Monday through Friday. Compound effect over time. Use when building personal practice habits, training a team's design eye, or adding structure to professional development.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose your taste gaps across six skill areas. Know what to practice. Use when starting a taste development program, checking progress, or identifying specific areas to improve.

日本語の概要は準備中です。原文の説明を表示しています。

Structured exposure habits for building taste through relentless, intentional consumption. Not passive scrolling. Active intake across design, architecture, film, music, food, and culture. Use when building a taste practice, advising on professional development, or diagnosing why someone's design range feels narrow.

日本語の概要は準備中です。原文の説明を表示しています。

Build taste through volume of output, deliberate failure, and speed. Taste cannot be developed by watching. It's sharpened by making, failing, and making again. Use when designing practice routines, breaking through creative blocks, or helping someone move from analysis to execution.

日本語の概要は準備中です。原文の説明を表示しています。

Help other designers develop judgment without imposing your style. Use when mentoring designers, running design education, or building team-wide quality standards.

日本語の概要は準備中です。原文の説明を表示しています。