「building」の検索結果

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

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 agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

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 read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.

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。

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

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。

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

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。

Reverse-engineer why a design decision was made. Move from observation to inference. Use when studying products you admire, learning from competitors, or building analytical design thinking.

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。

Annotate and map the anatomy of any design. Identify visual hierarchy, spacing systems, color roles, and tension points through clinical analysis. Use when doing formal design audits, teaching design analysis, or building structured observation skills.

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。

Palette roles, restraint, semantic consistency, and when fewer colors means better design. Use when building color palettes, evaluating color usage, or diagnosing color-related design problems.

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。

Visual weight, attention order, and the decisions that guide the eye. Use when building layouts, evaluating information architecture, or diagnosing why a design feels confusing.

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。

Draw from architecture, fashion, music, food, and industrial design to expand your design taste range. Use when seeking inspiration beyond digital, building diverse reference sets, or expanding creative vocabulary.

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。

Scale, weight, line height, and tracking as a coherent system. Use when building type scales, auditing typography consistency, or diagnosing why text feels off.

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。

Run taste-informed design reviews using Observation > Principle > Question. Use when facilitating design critiques, improving feedback quality on a team, or building a shared vocabulary for quality.

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。

Pull design principles from architecture, fashion, film, industrial design, and physical spaces into screen-based design. Use when seeking inspiration beyond digital, expanding creative range, or building cross-disciplinary design vocabulary.

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。

The 10-second design audit. Look at any design and name what's working and what's not within seconds. Trains rapid pattern recognition for hierarchy, spacing, type, and color. Use when evaluating designs quickly, giving first-impression feedback, or building perception speed.

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。

Density, whitespace, rhythm, and how space communicates relationships between elements. Use when building layouts, evaluating spacing consistency, or diagnosing why a design feels cramped or empty.

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。

Use taste as a competitive moat and business advantage. In the AI and vibe-coding era, execution is commoditized. Taste is the defensible edge. Use when advising founders on product differentiation, building product culture, evaluating why some products win despite fewer features, or understanding taste as a strategic asset.

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。

Tag design references by principle, not aesthetic. Build a library you can actually search. Use when saving references, organizing inspiration, or building a design library that returns useful results.

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Study a merged or shipped tdmcp implementation and extract reusable learnings: code improvements, runtime/UX lessons, test gaps, docs updates, roadmap items, and harness changes. Use when the user asks to learn from a completed feature/project/PR/build, analyze what can be improved from an implementation, or turn a real installation experience into actionable tdmcp improvements. This is a post-implementation learning harness; it does not replace tdmcp-pipeline for building or tdmcp-quality-audit for broad repo audits.

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How to migrate the tdmcp Codex Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-dxt.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.

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 in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

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。

Use when building React components, optimizing Next.js performance, implementing accessibility, or reviewing frontend code quality for modern web applications.

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。

Proven architectural patterns for building n8n workflows.

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。