「ux writing」の検索結果

Strategic product gate: challenge the brief, find the 10-star product hiding inside the request, before writing any code

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。

Structured plan review across 4 axes before writing any code (inspired by Garry Tan's workflow)

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。

Engineering architecture gate: lock architecture, diagrams, edge cases, and test matrix before writing implementation code

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。

Systematic root-cause debugging: find the cause before writing any fix

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。

Audit Claude Code and Codex hooks for validity, safety, and correctness across settings.json, hooks.json, config.toml, plugin, and skill or agent frontmatter hooks. Resolves each command, checks event names, handler types, matchers, exit-code and JSON decision strategy, and timeouts against each host's documented rules, then reviews hooks one by one. Use when setting up hooks, debugging a hook that never fires, never blocks, or hangs the agent, or doing a periodic hooks hygiene pass. Not for writing a new hook from scratch.

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。

Frontend design skill fused from Impeccable + custom extensions. Covers design philosophy, anti-AI-slop patterns, typography, color (OKLCH), spatial design, motion, interaction, responsive, UX writing, state management, engineering, and 4 style variants. Includes 20 command skills for audit/critique/polish/animate/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。

Build, update, and apply iOS design specifications using Apple Human Interface Guidelines (HIG) source data. Use when a task asks for iOS UI/UX rules, Apple design standards, component behavior, accessibility constraints, interaction patterns, or feature-level design-spec writing grounded in official HIG pages.

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。

Define what content a product needs, how it is structured, and who owns it. Use when content itself is the problem. For the words in the interface use `ux-writing` (designer-toolkit); for structural hierarchy use `information-architecture`.

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 is designing, prototyping, or rewriting a desktop app that must run on multiple OSes (macOS + Windows, optionally Linux) AND feel indistinguishable from a native app to its users — fast launch, native windowing, native input handling, native materials. Trigger words include "cross-platform desktop", "Electron alternative", "Tauri vs native", "WebView wrapper", "near-native performance", "Raycast architecture", "WebKit/WebView2 quirks", "WKWebView", "system tray app", "global hotkey app", "launcher app". Do NOT trigger this skill for pure web apps, pure mobile apps, or for greenfield projects that have no native-feel requirement.

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。

Prepare and run XQUIC local compilation. Use when asked to compile, build, configure, or diagnose the local build environment for XQUIC, especially across macOS/Linux. Detect intent and platform, then delegate actual compilation to scripts/validate.sh instead of hand-writing CMake commands.

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 a content style guide / voice & tone guide so everyone writes consistently. Use when asked to write a content style guide, a voice and tone guide, editorial guidelines, or UX-writing standards. Produces a usable guide — voice principles with do/don't examples, tone-by-context, mechanics (grammar, capitalisation, formatting), terminology/word list, and accessibility/inclusivity rules — that a team can actually apply.

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。

Landing page and marketing page conversion rate optimization covering value proposition clarity, headline effectiveness, CTA hierarchy, visual flow, social proof placement, objection handling, and structured A/B testing.

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。

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline injection.

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 this skill whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano Banana, Seedream, Flux, GPT Image, etc.), camera controls, named motion presets, Soul ID character consistency, Cinema Studio 2.5/3.0, Vibe Motion, troubleshooting failed generations, credit optimization, Photodump, or any mention of higgsfield.ai. Also trigger on generic "write me a video prompt" or "make me an AI video prompt" requests when Higgsfield is the user's configured platform.

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。

Web UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive 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。

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。

Desktop application UI patterns for product owners. Load when designing native or cross-platform desktop applications, writing desktop-specific acceptance criteria, or evaluating panel layouts and keyboard 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。

Workaround for Claude Code filtering BMP PUA Unicode (U+E000-U+F8FF). Supplementary PUA Nerd Font icons like 󰊤 󱃾 󰁹 (U+F0000+, e.g. nf-md-github, nf-md-kubernetes, nf-md-battery) can be written directly. BMP PUA icons (Powerline, Font Awesome, Devicons) require placeholder syntax like {{ U+E0A0 }} or {{ nf-fa-star }} (without spaces), which hooks auto-convert. Invoke when reading or writing Starship configs, tmux themes, shell prompts, or statuslines.

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。

Analyze failed or stuck proofs and propose auxiliary lemmas to help complete the proof in Isabelle/HOL or Coq. Use when encountering proof failures, stuck proof states, unprovable subgoals, or when needing to strengthen induction hypotheses. Identifies missing lemmas, suggests proof strategies, and generates helper lemmas with appropriate statements and proof sketches. Supports inductive proofs, case analysis, rewriting, and complex proof obligations.

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 in writing documentation that developers actually read. Covers README craft, API docs, tutorials, and internal docs. Understands that docs are a product—they need UX, marketing, and user empathy. Use when "documentation, readme, write docs, api docs, tutorial, how to document, explain this, " mentioned.

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。

Checkable-ish surface presentation signals a reviewer notices first — duplicate/near-identical tables, leftover pipeline/template strings, too-few or LLM-looking figures, and page-padding. AUXILIARY ONLY and weak by design: a deterministic pass (tools/check_presentation.py — dup-table + pipeline-artifact) plus a fresh cross-model GROSS-cases-only semantic pass (thin-float, LLM-figure, page-padding), every above-info finding span-anchored to the evidence ledger (claims.json). The adjudicator CAPS everything at minor (SURFACE_ONLY_SKILLS + SURFACE_PATTERNS) — these contribute at most SOFT_FLAGS, never a HARD verdict — default false_positive_risk:high. NOTE: the pure AI writing-STYLE impressions (AI-flavor prose, defensive 'not-X-but-Y' hedging, narrative-arc, jargon-stuffing, invented codenames) MOVED to the zero-verdict-weight AIS track — for those use skills/ai-style-impressions, NOT this. Emits presentation-signals.findings.json; NEVER computes the verdict. Triggers: "presentation signals", "surface check", "duplicate tables", "排版信号".

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。

Write effective UI copy including microcopy, error messages, empty states, and CTAs.

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。

Survey all user-facing strings in a codebase — map coverage and find gaps. Use when asked "what user-facing strings do we have", "map our copy coverage", or "find hardcoded strings".

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 Python scripts that must run on Windows, Linux, and macOS — especially when Rich or Typer output breaks on Windows, when dealing with Unicode/encoding errors, ANSI escape handling, terminal detection, path separators, or console color support. Provides verified cross-platform patterns covering stdout/stderr encoding guards, Windows console quirks, terminal capability detection, and portable I/O for CLI, TUI (Rich/Textual), and GUI environments.

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。