
AI Desk Card セットアップとWidget投入プロンプト
AI Desk Cardの導入、M5Paperの書き込み、Wi-Fi設定、Widget投入をAgentに任せるためのプロンプトです。
23 prompts available

AI Desk Cardの導入、M5Paperの書き込み、Wi-Fi設定、Widget投入をAgentに任せるためのプロンプトです。
画像生成プロンプト:A polished isometric interface scene for SaaS dashboards, landing pages, and product explainers.
画像生成プロンプト:A 1990s anime-inspired key visual with modern detail control, dramatic sky, and poster-ready composition.
Xで話題の画像プロンプト傾向をもとに再構成: Create a social-ready sticker sheet with consistent character identity and expressions.
Xで話題の画像プロンプト傾向をもとに再構成: Generate a cohesive 3D icon pack for apps, landing pages, dashboards, or product features.
Xで話題の画像プロンプト傾向をもとに再構成: Create a polished product hero visual suitable for ads, landing pages, and launch assets.
画像生成プロンプト:Create a high-fashion lookbook spread with consistent model identity, styling details, and magazine pacing.
Xで話題の画像プロンプト傾向をもとに再構成: Apply a style reference to a new scene while preserving subject clarity and comparing outputs.
Xで話題の画像プロンプト傾向をもとに再構成: Create a sweeping fantasy city embedded into a sculptural ribbon form with controlled composition.
Xで話題の画像プロンプト傾向をもとに再構成: Transform an image or concept into a cinematic poster with intentional typography hierarchy.
Xで話題の画像プロンプト傾向をもとに再構成: Turn a reference selfie into a cinematic seaside adventure portrait while preserving identity.
Xで話題の画像プロンプト傾向をもとに再構成: Generate a clean multi-angle character sheet for game, comic, film, or avatar design.
Xで話題の画像プロンプト傾向をもとに再構成: Create a full brand identity visualization board from a logo, product idea, and visual references.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to stress-test an agent workflow for prompt injection, data leakage, tool misuse, and unsafe autonomy, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to turn product positioning into image/video prompt briefs with composition, style, constraints, and rights checks, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to rewrite old AI directory content with current sources, media, FAQs, alternatives, and snippet-ready sections, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to audit documents and retrieval outputs for source quality, freshness, coverage, and hallucination risk, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to describe an agent in enough detail to choose tools, permissions, memory, evals, and human approval points, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to turn a production prompt change into a testable version with rollback notes and eval cases, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to translate an idea into a scoped implementation plan that coding agents can execute safely, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to convert a Product Hunt launch page into positioning, objections, audience, and content angles, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to scan repositories, star velocity, maintainer quality, and product relevance before adding a project, with evidence checks, output structure, and source discipline.
2026年のAIワークフロー向け実践コンテンツ: A copy-ready prompt to turn a vague research question into a sourced, decision-ready brief, with evidence checks, output structure, and source discipline.

Prompt engineering in 2026
A prompt library should help users control output, not just collect catchy templates. The strongest prompts now define the task, the context boundary, the desired format, examples, and the evaluation rule. That matters because the same request behaves differently across chat models, reasoning models, image generators, and agent runtimes.
What changed
From prompt to contract
OpenAI’s guidance still starts with practical basics: put instructions first, separate reference text clearly, specify output format, and use examples when structure matters. For directory users, that means the best prompt cards should be judged by repeatability, not by how impressive the first draft sounds.
Context is the real bottleneck
LangChain frames context engineering as selecting the right instructions, knowledge, tools, memories, and prior messages for the next model call. This is why modern prompts should include context slots and source boundaries instead of pretending one universal mega-prompt works for every case.
Formats beat vibes
Prompts that ask for tables, JSON, step lists, grading rubrics, or before/after comparisons are easier to review and reuse. They also make it clearer when a model ignored the task, invented facts, or produced content that cannot be used downstream.
Popular starting points
Browse prompt templates by what you want to create: Gemini AI prompts, AI prompt generator workflows, AI prompt examples, AI photo prompts, photo-editing prompts, and AI video prompt formats.
Useful for users who want Gemini-specific examples, copy-paste structures, photo prompts, and style prompts without sorting through generic ChatGPT-only templates.
Strong commercial value. Users want a repeatable way to generate prompts, not just a static list of phrases.
Low competition in the sheet and very high CPC. Add examples, before/after structure, and use-case explanations.
Explore AI prompt use cases
Use the page to catch four intent types: broad AI prompt discovery, generator workflow searches, Gemini copy-paste searches, and visual prompt searches.
These users want a tool-like workflow. The copy should explain how prompts are generated, refined, evaluated, and adapted across models.
These users want ready-to-use Gemini prompts, especially for photos and viral styles. Keep the exact phrases but avoid turning the page into a thin copy-paste dump.
These queries need visual production language: subject, camera, lighting, motion, negative prompt, revision checks, and platform notes.
How to choose prompt types
Use the prompt type that matches the risk of the task. A social caption prompt and a legal research prompt should not be evaluated with the same standard.
Practical selection checklist
Related prompt topics
Use these topics to move from broad AI prompt discovery into specific examples, image prompts, Gemini prompts, and video prompt workflows.
Prompt FAQ
Yes, if they curate tested templates instead of decorative text. A prompt marketplace is useful when it saves users from rebuilding task structure, examples, and output rules from scratch.
Add the missing context and output contract: who the output is for, what source material it may use, what format it must return, and what it should do when the input is incomplete.
Yes, when model behavior matters. Reasoning models, chat models, and image/video models respond differently, so platform tags help users avoid copying the wrong pattern into the wrong tool.