「interact」の検索結果

Use when writing, running, or debugging Playwright e2e tests in this Hydrolix Grafana datasource plugin. Covers the docker-compose `playwright` service invocation, locator patterns for Grafana's react-select / Monaco editor / panel chrome, state-dependent interactions in QueryEditor, and timeout/retry expectations. Apply whenever a task touches `tests/*.spec.ts`, `tests/helpers.ts`, the `playwright` service in `docker-compose.yaml`, or the test results under `test-results/`.

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 or design FriendlyBet user experience, visual direction, mobile-first flows, premium sports interface, Hebrew/English copy fit, RTL behavior, accessibility, interaction patterns, and product UI polish. Use when a task touches screens, flows, layout, visual hierarchy, onboarding, prediction UX, share UX, or design 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。

Comprehensive advanced Git patterns guide covering interactive rebase, cherry-pick, bisect for bug hunting, worktrees, reflog for recovery, stash management, submodules vs subtrees, hooks (pre-commit, commit-msg, pre-push), conventional commits, merge strategies, branch naming, git attributes (LFS, diff drivers), blame/log archaeology, patch workflow, sparse checkout, filter-repo, signing commits, and performance optimizations. Use when performing complex Git operations beyond basic add/commit/push.

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 wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI 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。

This skill is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).

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。

Turn an ambiguous factory issue into human-approved product, behavior, design, and implementation slices. Use interactively before implementation.

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。

Turn a ready-to-spec queue item into an approved plan through explicit human gates. Use when an item needs scope decided before code exists, when planning a feature, or before starting a migration. Runs interactively - not for unattended routines.

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。

Personal CRM built on monday.com. Tracks contacts, last interactions, next meetings, and topics. Runs daily to update from Calendar + email. Delivers pre-meeting briefings as part of morning-briefing. Use when: someone asks about a contact, before a meeting, or during daily CRM sync.

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 working with 100Ms — 100ms live video and audio infrastructure management for video conferencing, live streaming, and interactive sessions. Use when monitoring active rooms, analyzing session quality, reviewing usage metrics, managing room templates, or troubleshooting 100ms video/audio 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。

Use when working with Agora — agora real-time engagement platform management for video/voice calling, interactive live streaming, and real-time messaging. Use when monitoring active channels, analyzing call quality metrics, reviewing usage statistics, managing projects, or troubleshooting Agora RTC 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。

p5.js sketches: gen art, shaders, interactive, 3D.

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。

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

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。

Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.

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。

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

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。

Playwright automation, Chrome DevTools debugging, and browser interaction testing. Use for E2E/unit tests, capturing screenshots, inspecting network/console logs, or validating user flows in 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。

Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.

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-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.

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。

Premium frontend UI direction for immersive, high-performance web experiences with strong motion, typography, and visual systems. Use when building high-end landing pages, polished interactive components, or portfolio-style sites.

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 context-fit frontend interfaces with deliberate art direction, accessible interaction, responsive behavior, complete states, and rendered verification. Use when creating or substantially reworking pages, components, product workspaces, dashboards, marketing sites, editorial surfaces, commerce flows, or justified immersive experiences.

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。

Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals.

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。

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

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。

Response timing, acknowledgment, and making the interface feel alive. Every action deserves a response at the right speed. Use when designing interactions, evaluating responsiveness, or diagnosing why a product feels sluggish or dead.

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。