'choice' 검색 결과

Use when designing a Spark feature or writing or materially revising a design proposal that needs repository-first research, user input on unresolved key choices, and an owner-aligned implementation plan before code changes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Interviews a request until no essential choice is left to guess, then hands the settled decisions on. Trigger on 'grill me', 'interview me before you build', 'stress-test this idea', 'ask me questions until it's clear', 'what am I missing before we start', or a vague plan, feature, prompt or skill where a wrong build costs more than questions. Or say grillwright (grill, record, resume, questionnaire — for someone else to answer, docs — check against glossary and ADRs). Builds nothing — prompts are promptwright's, skills skillwright's, agents agentwright's, game code slicesmith's, what a running agent may do gatewarden's, even asked as a grill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill when working with the nuxt-ui-tools form runtime as a package consumer. It covers schema-driven forms, the provider-backed form API, inline rendering, overlay rendering, form pages with a section navigation, rich options (icon, avatar, chip, description, suffix, grouped menus, and renderOption/renderValue render functions on select, auto-complete, radio, and checkbox group), choice cards, and typed submit results.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts formal explanation letters for Canadian Study Permit applications by structuring the argument around program attractiveness, background relevance, choice rationale, and family benefits.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection', 'technology choice', or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Apply a named behavioral science framework to any task — persuasion, nudge design, habit formation, conversion, influence, negotiation, cognitive bias, choice architecture, decision framing. The framework backbone every other Maxim skill loops into for psychological validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research one bounded mature-project/prior-art question when the user explicitly asks how established projects handle it or ROSE names a decision-shaping prior-art gap; do not trigger automatically for IDEATE, DEFINE, BUILD, implementation, local review, or every design choice.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Creates Architecture Decision Records documenting key technical decisions with context, alternatives considered, tradeoffs, consequences, and decision owners. Use when documenting "architecture decisions", "technical choices", "design decisions", or "ADRs".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing a Spark feature or writing or materially revising a design proposal that needs repository-first research, user input on unresolved key choices, and an owner-aligned implementation plan before code changes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when a study's materials, data, code, or preprint need an open-science release: license choice, a persistent DOI (Zenodo/OSF), README and metadata, and an access-and-embargo decision that respects ethics constraints.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Requires OFOX_API_KEY — create one at https://app.ofox.ai. Shared execution layer for the Ofox image API (api.ofox.ai) — validates parameters client-side, sends one synchronous request, base64-decodes the result, saves it to a file, and reports the real usage token counts and the computed dollar cost. Does both text-to-image (generate) and editing an existing image you supply as a local file (edit — change the background, recolour an element, alter a product photo, while leaving the rest of the picture intact). This is a library skill, not a standalone user-facing one — it is meant to be invoked by scenario skills that build model/prompt/size choices for a specific use case and then call into this skill's script rather than re-implementing the API calls — image-edit owns "change this image so that...", product-image owns a set of product images to choose between, and seedance-anime-drama owns character images for a video pipeline. Load this skill directly only when a user explicitly names the Ofox image API, asks to call it with specific low-level parameters, asks to debug a failed Ofox image request, or wants a plain "generate an image of..." from text — which is the one common case no scenario skill covers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Requires OFOX_API_KEY — create one at https://app.ofox.ai. Shared execution layer for the Ofox video generation API (api.ofox.ai) — creates a video job, polls it to completion, downloads the finished mp4 from a persistent CDN URL, and reports the real cost. This is a library skill, not a standalone user-facing one — it is invoked by scenario skills such as seedance-short-drama, seedance-ad-creative, and seedance-product-video, which build model/prompt/resolution choices for a specific use case and then call into this skill's script rather than re-implementing the API calls. Load this skill directly only when a user explicitly names the Ofox video API, asks to call it with specific low-level parameters, or asks to debug/resume a stuck or failed Ofox video job by job id — for a plain scenario request ("make me a short drama scene", "generate a cinematic ad clip"), use the relevant scenario skill instead, which itself depends on this one.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.