「page」の検索結果

E2E 测试实现时使用。适用于 Playwright / Cypress 关键用户旅程测试。融合 Page Object Model + 视觉回归 + 可访问性测试。

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。

配置监控和告警时使用。适用于 Prometheus / Grafana / Loki / PagerDuty / SLO 定义 / 告警规则设计。融合 Google SRE 四大黄金信号 + USE Method + 告警分级。

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。

Ultimate Design System Intelligence. Manage, extract, replicate, and improve UI design systems. Extracts design tokens visually from existing sites (Harvester v5), manages multi-page tokens, and utilizes MCP servers like Google Stitch and Pencil.dev to generate complete, consistent design systems (Shadcn UI, Halo, Lunaris, Nitro). Use when the user asks to "extract design from a URL", "create a Shadcn design system", "analyze design tokens", "build a design system for", or "copy the UI style of".

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。

Designs and reviews Odoo QWeb HTML and PDF reports with stable layout, print-safe assets, paper formats, localization, and maintainable templates. Use when creating, redesigning, reviewing, or debugging Odoo reports, QWeb report templates, report CSS, headers, footers, tables, page breaks, or PDF rendering.

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。

Security review and implementation guidance for Odoo website, portal, public controllers, JSON routes, QWeb output, and browser-facing assets. Use when exposing Odoo data over HTTP, adding portal/public pages or forms, using sudo, handling tokens, rendering HTML, or reviewing web attack surfaces.

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。

Odoo website and portal engineering guidance for QWeb templates, public and portal controllers, website models, frontend assets, and route integration. Use when working on Odoo website pages, portal flows, public forms, QWeb, website templates, portal access, or frontend behavior outside a pure OWL component.

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。

Odoo browser-facing test guidance for HTTP controllers, website and portal flows, QWeb templates, assets, OWL integration, browser tours, and JavaScript behavior. Use when testing or debugging public pages, portal access, forms, controllers, frontend assets, or end-to-end Odoo web behavior.

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 browser-use to turn natural-language web tasks into repeatable browser automation backed by Playwright and agent loops. This skill helps an agent open sites, inspect page state, click, type, extract data, and recover from common UI changes with a real automation framework instead of brittle one-off scripts.

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。

Automates browser tasks with Browser Use, the open-source library that connects LLM reasoning to Playwright-driven web actions. Useful for navigating sites, filling forms, extracting structured page data, and running agentic browser workflows with screenshots and stateful sessions.

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。

Assess a public HTTP(S) page before building browser automation, extraction, or an integration. Use this skill to collect bounded structural evidence, readiness signals, risk flags, acceptance tests, and remediation priorities without sending credentials or accessing private targets.

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。

mcp-atlassian is a Model Context Protocol server that connects AI assistants to Atlassian Jira and Confluence. It enables searching and managing Jira issues, reading and editing Confluence pages, and performing project management tasks through natural language via any MCP-compatible client.

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 Atlassian Rovo MCP Server bridges your Atlassian Cloud workspace with any MCP-compatible client. Search and summarize Jira issues, create tickets from natural language, update Confluence pages, and query Compass services.

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。

ApostropheCMS is a full-stack Node.js CMS that combines in-context editing for content teams with headless flexibility for developers. It is a strong fit when teams want live-page editing, MongoDB-backed content models, and a documented REST API for custom frontends.

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。

Give coding agents a design skill for greenfield UI, component work, audits, redesigns, and visual DNA extraction from screenshots or URLs.

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。

Interactive browser skill for logged-in flows, dynamic pages, and session-aware site operations.

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。

Bulk-generates SEO meta descriptions from page content using OpenAI's GPT-4o API with custom system prompts tuned for SERP CTR optimization. Validates character limits, checks for duplicate descriptions via Screaming Frog CSV exports, and outputs Yoast SEO-compatible import files.

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。

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field 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。

Expert performance marketing guidance for paid acquisition, CRO, and growth optimization. Use when creating ad campaigns, writing ad copy, optimizing landing pages, setting up A/B tests, analyzing CAC/LTV, building attribution models, or planning retargeting strategies. Use for Google Ads, Meta Ads, LinkedIn Ads, conversion tracking, budget allocation, and funnel 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 pricing strategy and monetization guidance for SaaS and digital products. Use when designing pricing tiers, creating pricing pages, setting value metrics, developing bundle strategies, planning price increases, writing pricing copy, analyzing competitive pricing, or optimizing annual vs monthly positioning. Use for packaging decisions, discount policies, enterprise pricing, and behavioral pricing tactics.

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 competitive intelligence and strategy guidance for B2B/SaaS companies. Use when conducting competitive research, creating battlecards, analyzing win/loss data, building market landscape maps, positioning against alternatives, handling competitive objections, writing comparison pages, or developing sales enablement for competitive situations. Use for competitive monitoring, feature comparisons, and market intelligence gathering.

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。

Decompose dense codebase-wide, multi-document, PDF, and aggregation work even when the input fits the context window, following Recursive Language Models (Zhang, Kraska, Khattab, 2025). Use when the user asks to analyse all files, a whole repo, all docs, large PDFs, or to aggregate or multi-hop across scattered sources. Skip one file, one function, a single needle, or a one-page PDF conversion. Triggers: long context, context rot, large codebase, many files, all files, big document, multi-document, PDF, aggregate, summarize everything, codebase-wide, multi-hop, recursive, sub-agents, map-reduce.

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 browser automation via CDP. Use when you need to control a browser, navigate pages, click elements, fill forms, extract content, or take screenshots.

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 the user has a meeting, call, 1:1, a person to meet, or a decision coming up and needs to walk in prepared. Assembles a one-page brief from context/, wiki/, connections, open loops, and the knowledge graph — who · what · goal · history · open loops · the ask · risks. Trigger on "/prep", "prep me for", "brief me on <person/meeting>", "what do I need to know before", "get me ready for".

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。

Deterministic workflow to find and export full podcast transcripts as cleaned TXT files from YouTube URLs, episode webpages (including Xiaoyuzhou), Apple Podcasts title search, X/Twitter links, direct audio URLs, or plain episode titles. Use when users ask for 逐字稿/文字版/transcript/txt and want minimal trial-and-error.

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。