「dig」の検索結果

Produces WordPress draft posts from research findings — converts Paper Store research records or raw research data into publishable blog posts, buying guides, brand spotlights, and how-to articles. Use when the task asks to "turn research into a post", "create a blog post from findings", "publish my research", "research to content", or "write up the findings". Covers the full research-to-post pipeline with Paper Store integration.

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 users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

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。

Produces structured content calendars with platform-specific posting schedules, content pillars, and batch publishing plans. Use when the task asks to "plan content", "schedule posts", "create a content calendar", "editorial calendar", "posting schedule", or "content strategy". Covers content pillars, posting cadence, multi-site calendars, seasonal hooks, and content repurposing matrices.

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。

Produces accessible color palettes and CSS design-token implementations for brands and websites. Use when the task asks for "color palette", "brand colors", "color scheme", "WCAG contrast", "dark mode colors", "design tokens", or "CSS custom properties for colors". Covers color theory, WCAG 2.2 contrast compliance, dark mode, AI palette extraction, and color psychology.

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。

Manage AI assistant configurations and peer-to-peer mesh network connections in the NV oOS Pro Toolkit. Covers assistant creation, model configuration, provider setup, peer discovery, mesh networking, cross-assistant communication, and detecting from a coding-agent session (Zed) which NV oOS assistants / MCP servers are enabled. Use when creating or editing AI assistants, configuring model providers, setting up peer connections, managing mesh network topology, debugging assistant behavior, or answering "is agent X available" / "what tools does this MCP have".

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。

Review code for quality, simplicity, and maintainability. Identifies unnecessary abstractions, duplicated logic, oversized functions, missing error handling, and naming issues — then fixes them automatically before presenting the result.

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。

Control a headless browser to navigate URLs, click elements, fill forms, extract content from JavaScript-rendered pages, take screenshots, and automate end-to-end web 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。

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

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。

Generate production-quality Excalidraw architecture diagrams from natural language. Visual structure maps to conceptual structure — fan-out for one-to-many, timelines for sequences, convergence for aggregation. Includes self-validation via Playwright render review.

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。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).

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。

Apply Karpathy-inspired coding behavior guidelines — think before coding, prefer simplicity, make surgical changes, and execute toward verifiable goals. Reduces wrong assumptions, overengineering, and unintended side-effects.

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 interpret TypeSafe Jev decision requests in NV oOS — typed choice/score/noul questions, batching, confidence thresholds, composite scoring, and guardrails. Use when classifying, routing, scoring, or safety-screening content with the typesafe_decide or typesafe_guardrail tools.

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。

Complete operational guide for the NV oOS (Open Operator System) WordPress plugin in Docker/WSL2 — setup, assistant creation, credential tokens, MCP tool calling, API key auto-detection, env var bridging, common fixes, and IGCSE study configuration. Use when setting up the plugin for the first time, creating assistants programmatically, generating MCP bridge tokens, troubleshooting Docker path issues, bridging API keys, or calling tools via JSON-RPC over HTTP.

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。

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

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。

Create programmatic videos using React and Remotion. Translate natural language descriptions into working Remotion components for product demos, release announcements, explainer videos, and animated content.

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。

Optimize images for web performance — format conversion (WebP, AVIF), responsive sizing, compression, background removal, lazy loading, and WordPress media library integration. Uses MCP bridge tools (resize_image, remove_background) as primary; the Design Stack media worker (Sharp) as fallback for advanced/batch processing. Use when you need to resize images for social media, convert formats for faster page loads, remove backgrounds from product photos, generate alt text, or batch-process an entire media library.

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。

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

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。

Manage multi-channel communications — SMS, email, WhatsApp messages and contacts. Covers message tracking, contact management, delivery status, and media attachments. Use when working with channel messages, managing contacts, tracking communication threads, or troubleshooting message delivery.

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。

Generate images using AI models — Gemini, DALL·E, Stable Diffusion, Midjourney, Flux, Leonardo, Ideogram, and more. MCP bridge tools are primary; the Design Stack media worker is the fallback for advanced providers. Covers prompt engineering, model selection, size/aspect ratios, style parameters, batch generation, multi-site awareness, and WordPress integration. Use when you need to create hero images, social graphics, product mockups, brand illustrations, or any visual asset for marketing, social media, or e-commerce.

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 creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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。

Manage NV oOS Pro Schedules — create, update, delete, list, dry-run, view run history, and plan schedules from workflows. Covers all 7 Pro Schedule Manager MCP tools with usage patterns, cross-references, and operational troubleshooting. Use when creating recurring tasks, debugging schedule failures, pausing vs deleting schedules, converting Action Scheduler jobs to managed schedules, or bridging workflow outputs to timed 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。

Install and use the official AI Podcast Voiceover package, pinned by digest, for paid hosted work on the Beatra service.

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。

Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.

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。