「interact」の検索結果

Single "start here" orchestrator for new cold email operators. Asks infrastructure-status questions first, then runs /icp-onboarding → /lead-magnet-brainstorm → /campaign-strategy in sequence, producing a consolidated campaign-plan.md. Ends with an interactive menu of next skills branched on whether the user already has domains/inboxes. Use as the very first invocation on any new repo checkout or when onboarding someone to cold email from zero.

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。

Find people actively engaging with competitor LinkedIn posts. Given a website URL, discovers competitors, fetches their company and employee posts, collects all commenters and reactors, and outputs a deduplicated CSV of engaged prospects. Use when someone wants to find leads from competitor engagement, build outreach lists from LinkedIn activity, or analyze who interacts with competitor 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。

Interactive loop that builds and tunes an AI prompt for evaluating whether a company fits a client's ICP. Run after any list-building skill (disco-like, blitz-list-builder, google-maps-list-builder, prospeo-full-export) to qualify companies before scaling. Iterates batches of 10 companies with user feedback, stops when 2 consecutive rounds have zero corrections, saves the final prompt for reuse. Always uses Claude Code Task sub-agents — never an external API key.

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 a user gives or references a webpage URL and wants to extract, reproduce, port, or locally replay a WebGL, WebGPU, Canvas, shader-like, animated background, interactive 3D, or web visual effect. Locks the target rendering surface group, records shader/resource/render graph/timing/input evidence, builds an evidence-matched local baseline, then projectizes it. Do not use for ordinary DOM/CSS page cloning.

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 build expressive 3D scenes, explainers and interactive models with grounded subject knowledge. Use for 3D creation or edits, including scientific visualization and spatial puzzles.

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。

Catch the accessibility failures that ship in almost every AI-built UI. Use after building any interactive 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。

Interactive idea refinement using Socratic method to develop fully-formed designs

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 an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with ranked charts, a three-month trend, a multi-year overlay and a data table. Use when asked to benchmark a product against competitors, size up a market, answer "how much traffic does X get compared to Y", build a competitive landscape, or produce a traffic/authority comparison deck or page.

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。

Send messages and interactive cards to Feishu (飞书) and Lark channels via webhooks or Bot API. Create rich-text announcements, marketing updates, and team notifications. Trigger phrases: "post to feishu", "feishu message", "lark message", "feishu webhook", "lark webhook", "send to feishu", "send to lark", "feishu bot", "lark bot", "飞书", "飞书机器人".

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 cost-safe geospatial SQL for BigQuery, DuckDB, Snowflake, Wherobots, and Postgres and/or render results on an interactive Dekart map.

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。

Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.

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。

Direct browser control via the Browser Use Terminal CLI. Use when the user wants to automate, scrape, test, or interact with web pages — you drive the browser yourself with Python helpers.

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 creating mocks, stubbing methods, verifying interactions, registering fallback values, or choosing between mocks, fakes, and real objects (Mocktail).

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 writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).

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 generating mocks, stubbing methods, verifying interactions, capturing arguments, or choosing between mocks, fakes, and real objects (Mockito).

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, inspect, update, restore, or share Avibe Show Pages for visual explanations, diagrams, reports, or interactive prototypes. Covers the page workspace and its Git history.

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。

Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.

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 asks for a slideshow, presentation, pitch deck, or interactive deck, or to convert an existing page into a deck. Authors a HyperFrames deck with fragments, branching and presenter mode; unclear -> /hyperframes.

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 ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.

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。

Clone any website into a pixel-perfect single-file HTML prototype. Extracts design tokens, assets, CSS computed styles, interaction patterns, and content via Playwright. Outputs a self-contained HTML file with real data injection. Use when the user wants to clone, replicate, reverse-engineer, or create a pixel-perfect copy of any website or web app. Provide one or more target URLs as arguments.

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。

Terminal UI and CLI design patterns for product owners. Load when designing command-line tools, interactive terminal applications, or writing CLI-specific acceptance criteria.

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。

JTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.

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。

Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. Use when starting feature analysis, defining user stories, or creating acceptance criteria.

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 system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).

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。