'wan' 검색 결과

Apply pre-composed aesthetic archetype defaults to jumpstart brand design work covering color, typography, layout, voice, and imagery direction. Use this skill whenever the user wants a starting point for brand visual and verbal direction, references a brand they want to design near (for example 'something like Stripe' or 'editorial like Linear'), needs to converge faster from many directions to one, or wants known-good defaults for a specific industry vertical. Triggers on archetype, design archetype, brand archetype, near to (brand), in the style of, similar aesthetic, design starting point, brand template, vertical-typical, industry-typical. Also triggers when the user has a brief and wants to map it to a known aesthetic family rather than design from first principles.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build WAN MultiTalk audio-driven talking-avatar / lip-sync video workflows. MeiGen-AI MultiTalk on WAN 2.1 14B I2V via kijai WanVideoWrapper (portrait + audio → lip-synced video)

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks which model to use, wants to compare models, or needs guidance on selecting between Kling, Wan (incl. Wan 3.0), Seedance (incl. 2.5), Veo 3, Minimax Hailuo / MiniMax H3, FLUX 3 Video, Gemini Omni Flash, Soul, Nano Banana, GPT Image 2.5, or other Higgsfield engines — including which lane edits existing footage (video_edit, Kling 3.0 Omni Edit, FLUX 3 Video Edit, Genjutsu, Ad Multiplier) and which models make one clip longer than 15s.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use the open-source free `Meziantou.Analyzer` package for design, usage, security, performance, and style rules in .NET. Use when a repo wants broader analyzer coverage with a single NuGet package. USE FOR: the repo uses or wants Meziantou.Analyzer; the team wants one analyzer pack that covers design, usage, security, performance, and style. DO NOT USE FOR: repos that already enforce an overlapping analyzer baseline and do not want extra diagnostics; formatting-only work. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan, implement, and review Alibaba Wan video generation using Alibaba Cloud Model Studio/DashScope hosted APIs or official Wan 2.1/2.2 open-weight checkpoints. Use for Wan text-to-video, image-to-video, first/last-frame or continuation, reference-to-video, video editing, speech-driven video, character animation, regional deployment, billing, licensing, and production safety.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp "what if" provocations, branches each one outward, and delivers a fully-expanded mind map image plus the written wonderings. Fire this when the person signals they want to open up a space and think alongside you — "wonder about X", "what are the weird angles on X", "help me think about what this could be", "I want to explore, not decide yet" — or when they invoke /wonder or /wonderpill. Do NOT fire when the same topic is attached to a request for concrete, usable, or decided output: a named deliverable, a count ("give me 5 names"), a deadline ("ideas I can ship this week"), or a "which / what should I pick" question — those want straight answers, not a wonder pill. When it is genuinely unclear which they want, this skill opens by asking one line rather than branching. Not for factual lookups or executing a plan already chosen.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts a Build-Out Allowance Agreement as a commercial lease addendum governing landlord-provided TI allowance terms. Use when structuring TI allowance financing, negotiating landlord work letters, or documenting tenant improvement funds at lease execution.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Interactive English conversation practice partner for Japanese learners. Use this skill whenever the user wants to practice speaking English, role-play a real-life situation (hotel check-in, restaurant, airport, business meeting, technical discussion, code review, job interview, daily small talk, etc.), discuss a technical article in English, or asks how to phrase something naturally in English. Trigger on requests like 'let's practice English', 'I want to talk in English', 'role play', 'pretend you are a ___', 'discuss this article in English', 'how do I say X in English'. 英会話練習・ロールプレイ・英語表現の質問のためのスキル。「英会話したい」「英語で話そう」「ロールプレイ」「ホテルのチェックイン練習」「この記事について英語で話したい」「xxって英語でどう言う？」などのリクエストで起動する。ユーザーは音声入力で会話する想定。会話前に想定問答・頻出表現・単語を提示し、会話を開始、最後に添削まで行う。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a Busabase-backed job-search outreach desk with a bundled Hono App-in-Skill deployable to AirApp. Use when the user invokes $kelly-jobhunt or /kelly-jobhunt, wants to turn a resume into a structured profile and a typeset PDF, wants to find target companies and their contact addresses instead of applying through a job board, wants one tailored application email drafted per company, or wants to review and approve each send. Four subcommands - setup, profile, research, send - plus the desk itself. One company receives exactly one email; mailbox credentials live in the Busabase Vault and never reach browser code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching. Use when the user asks which sessions or replays to watch, wants help finding interesting / useful recordings, says they don't know where to start in session replay, or wants to watch sessions about a goal (signup, pricing, onboarding, checkout, a feature, rageclicks, errors, mobile, a specific person) without naming exact filters. Turns a vague intent into a focused RecordingsQuery via `query-session-recordings-list`, then deep-links the best few and hands off to `investigating-replay`. Do NOT use when the user already has a recording/session ID (use investigating-replay) or wants the replay for a known error issue (use finding-replay-for-issue).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read a Japanese job posting closely and report what it actually states: base pay separated from fixed overtime allowance, the range converted to an hourly basis, required versus preferred requirements, and the terms left ambiguous. Use when a user wants a 求人票 or job description examined before applying, wants two postings compared on the same basis, or wants questions prepared about pay and working conditions; do not use to judge whether the user will be hired, to infer duties the posting does not state, or to evaluate the employer's reputation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create HTML-based video compositions, animated title cards, social overlays, captioned talking-head videos, audio-reactive visuals, and shader transitions using HyperFrames. HTML is the source of truth for video. Use when the user wants a rendered MP4/WebM from an HTML composition, wants to animate text/logos/charts over media, needs captions synced to audio, wants TTS narration, or wants to convert a website into a video.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

LoRaWAN and sub-GHz (433 / 868 / 915 MHz) attack methodology — LoRaWAN ABP/OTAA join attack, network/session key reuse, frame counter replay, downlink injection on TTN/Helium-style networks, sub-GHz protocol replay (KeeLoq garage doors, fixed-code remotes, TPMS spoofing, smart plug telemetry), HackRF / RTL-SDR / Flipper Zero workflows, signal analysis with Inspectrum / Universal Radio Hacker, and reconstruction of proprietary packet formats. Use for LoRaWAN deployments (smart cities, asset tracking, industrial telemetry), or any wireless device using the unlicensed 433/868/915 MHz bands (garage openers, doorbells, IoT sensors, RC equipment).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn a topic or script into a finished MP4 with MoneyPrinterTurbo. The skill handles installation, configuration, generation, and delivery, with support for voice-over, subtitles, background music, and recovery from fixable generation errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a short social media video from a topic
• Turn an educational script into a narrated video
• Produce a marketing video using stock footage

Answer questions about a Muse subscription using retrieved account information. Check the current plan, usage allowance, reset timing, and credit availability, or explain available plans and prices while distinguishing confirmed details from information the tool cannot verify.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check the current Muse subscription plan
• Review usage allowance and credit availability
• Find out when the usage allowance resets

Turn a math or science video idea into a detailed scene plan. Research the topic, clarify the audience, and outline visuals, narration, transitions, and implementation notes for Manim, an animation tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough explainer idea into a scene plan
• Plan intuitive math and science visuals
• Adapt video depth to the audience

Plan A/B tests to compare page changes using clear hypotheses and meaningful measures. The skill helps define sample size, duration, traffic allocation, and result interpretation, and organize a continuing program of prioritized experiments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare headlines or signup buttons
• Estimate test sample size and duration
• Interpret results and possible adverse effects

Use Fictiv in a browser to upload CAD parts, configure manufacturing requirements, compare prices and lead times, and review manufacturability feedback. Supports authorized ordering, payment workflows, order tracking, reordering, and troubleshooting upload or checkout problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get manufacturing quotes for CAD parts
• Compare materials, quantities, and lead times
• Review manufacturability warnings and upload problems

Find and evaluate a small, compatible set of AI Agent Skills for a multi-step goal. Check existing capabilities, compare candidates for fit and safety, identify overlaps, and prepare recommendations with installation subject to user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a set of Skills for a multi-step project
• Audit installed Skills for overlap and conflicts
• Find supporting Skills for writing quality or compliance

Check mesh files for 3D printing by measuring geometry and comparing it with process-specific design limits. Get findings on wall thickness, overhangs, and supports, plus build orientation options and concrete redesign guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether a mesh meets printing design limits
• Find thin walls and unsupported overhangs
• Compare build orientations to reduce supports

Check running experiments, collect logs and result metrics, and summarize progress alongside baseline comparisons. It supports SSH servers, Vast.ai, and Modal, with optional Weights & Biases metrics and cost reporting for the supported compute services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether remote experiments have finished
• Compare collected metrics with the matching baseline
• Investigate NaN values or diverging training runs

Find AI models for a specific task using official Hugging Face benchmark leaderboards. Compare scores, model sizes, and licenses, with memory-based estimates of device suitability and flags for models requiring quantization or API access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare coding or reasoning models by benchmark scores
• Find model candidates for a laptop's available memory
• Choose models for OCR or speech recognition

Run the proofreading protocol on academic writing — papers or manuscripts. Checks grammar, typos, layout issues, consistency, and academic writing quality. Produces a report without editing files. Make sure to use this skill whenever the user wants surface-level writing errors found — not substantive academic critique. Triggers include: "proofread", "check for typos", "grammar check", "look for errors in my draft", "proofread all", "polish this", "check my writing", "are there any mistakes", "proofread before I send this", or when the user wants a clean-up pass rather than feedback on arguments or methods.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate a complete academic literature survey from scratch using multi-agent orchestration. Searches academic databases (OpenAlex, CrossRef, Unpaywall), downloads PDFs, builds BibTeX, drafts a LaTeX review, compiles it, reviews for quality, and revises based on feedback — all automated. Use this skill whenever the user asks to "generate a literature review", "write a survey paper", "review recent papers on [topic]", "create a survey of [field]", "综述", "文献综述", "survey papers in top journals", or wants a multi-agent pipeline to produce a publishable-quality literature review. Also trigger when the user wants to search multiple journals for papers on a topic and synthesize findings into a structured document. Works for any academic field but optimized for economics journals.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.