'inputs' 검색 결과

Connect, verify, and troubleshoot Xquik's remote MCP server. Use when a user needs MCP setup, OAuth recovery, tool discovery, endpoint execution, or a connection check in ChatGPT, Claude, Codex, Cursor, VS Code, or another compatible client. Covers the endpoint, OAuth and the API key fallback, the docs, search, and execute tools with their inputs and outputs, errors, and the confirmation rules for private, metered, persistent, or state-changing calls. Not affiliated with X Corp.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use Resemble AI Chatterbox for text-to-speech and voice-cloning workflows, including local open-weight Chatterbox, Chatterbox Multilingual, Chatterbox Turbo, and Resemble-hosted Chatterbox API routes. Apply when an agent must choose a Chatterbox variant, prepare reference-voice inputs, control emotion/paralinguistic delivery, plan multilingual TTS, handle PerTh watermarking, or make production decisions about consent, privacy, licensing, latency, and audio QA.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts, data-governance review, and billing observability. Use for comparing or building against fal.ai, Replicate, or Together AI image APIs, including controlled failover; do not use for direct model-provider APIs, local inference, training, dedicated endpoint provisioning, video generation, or general image editing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate AI lip sync and visual dubbing with Sync Labs (sync.so) — choose the right model (sync-3, lipsync-2, lipsync-2-pro, lipsync-1.9.0-beta, react-1), build the POST /v2/generate request, host inputs, handle async jobs via polling or webhooks, run batch dubbing/localization, and review output for sync accuracy and identity preservation. Use when an agent must re-voice, dub, translate, personalize, or re-time the mouth of a talking-head video (or animate a still face from audio), or must debug a failed/rejected Sync generation. Also covers consent, likeness, and rights obligations for editing a real person's face.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate, edit, composite, stream, and production-review still images with OpenAI GPT Image models. Use when an agent must choose between GPT Image 2 and legacy GPT Image/DALL-E integrations, select the Image API or Responses API, build prompts and reference-image workflows, use masks or multiple inputs, preserve identity or brand details, render in-image text, handle output files and partial images, estimate cost and rate limits, migrate deprecated image code, or apply OpenAI image safety, consent, privacy, provenance, and rights requirements. Do not use for OpenAI video or audio generation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce Hedra character, talking-avatar, lip-sync, motion-avatar, and live avatar work. Use when an AI agent needs to choose Hedra models, prepare image/audio/script inputs, direct character performance, call or plan around the Hedra API or Studio, evaluate avatar/lip-sync results, handle consent/rights/privacy, or troubleshoot Hedra character video production.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Valuation methods analysis, DCF inputs, comparable multiples, P/E ratio, EV/EBITDA, price to book, valuation assumptions, relative valuation, intrinsic value, fair value estimate

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze competitor content coverage and uncover differentiated content opportunities using web search, page extraction, and DataForSEO content analysis. Use when asked for competitor content research, editorial gap analysis, content brief inputs, or topic whitespace.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants to create/generate/scaffold a new Spring Boot project (Maven or Gradle, REST API / Web App / Spring Boot + Angular full stack). Derives progen CLI inputs from the user's plain-English project description, asks for any missing mandatory info, ensures the progen binary is available, and runs it to generate the project. If the user asks for features progen doesn't support natively, generate the base project first, then add those features on top of the generated code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Runs GitHub Actions workflows on your own machine in Docker containers with act, so CI can be tested without pushing. Use when a user asks to test GitHub Actions workflows locally, debug a failing CI pipeline, pass secrets or inputs to a local run, or run workflows offline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates edge case, failure mode, and spec-driven test cases. Covers boundary values, nil inputs, concurrency, resource exhaustion, malformed data, and requirement-linked traceability tests. Use after happy-path tests exist and before claiming coverage is complete, when requirements lack tests, or before a security review.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates fuzz test scaffolding for parsers handling external input (YAML, JSON, config files, user input). Seeds corpus from existing fixtures and runs initial pass. Use when implementing or changing a parser, or any code that ingests user input, webhook payloads, API responses, or file formats.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write concise docstrings for functions. Use when a junior developer needs help describing inputs, outputs, and errors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Convert raster images (photos, paintings, illustrations, line art) into SVG vector reproductions. Use when the user uploads an image and asks to reproduce, vectorize, trace, or convert it to SVG. Also use when asked to decompose an image into shapes, create an SVG version of a picture, or faithfully reproduce artwork as vector graphics. Handles graphic/line-art inputs (Kandinsky, architectural drawings, ink work) via a compositional pipeline that extracts lines as SVG strokes. Do NOT use for creating original SVG illustrations from text descriptions — only for converting existing raster images.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rest, hover, active, focus, disabled and loading states, derived from the base colour. Use when designing buttons, links, inputs or any clickable component.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Buttons, inputs, badges and pills share radius, colour logic, shadow, border and spacing. Use when building or reviewing a component library.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an engagement for this thread", or any variation where a company URL and a Reddit thread are both provided. Always use this skill — never write Reddit comments for a domain without following this full workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and Python SDK examples. Read-only, needs only the account address. Use for sizing inputs, book checks, reconciliation and reviews.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill channels the strategic and empathetic reasoning of Whitney Wolfe Herd, founder and CEO of Bumble. Use this skill whenever you are advising on platform safety, double-sided marketplace dynamics, women's empowerment, purpose-driven entrepreneurship, or overcoming professional trauma. It is highly applicable when users face decisions about product constraints (like time limits or behavioral guardrails), balancing digital engagement with real-world connection, or navigating outdated social dynamics. Reach for this skill to help users shift from 'me to we,' engineer kindness into their products, and focus on core inputs rather than vanity metrics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Suede-affiliated recurring marketing workflow design for cadence, inputs, decision rules, checkpoints, failure states, and measurable outputs. Use when the user wants repeatable ad-fatigue, content-refresh, churn-watch, ranking-drop, or weekly-review loops. NOT FOR: one-off tactic ideation (use suede-marketing-ideas), experiment design (use suede-ab-testing), or creating a live automation without explicit scheduling authority.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Suede-owned paid-media creative system for hooks, headlines, primary text, static and motion concepts, platform specs, review pages, and test-ready variant batches. Use when producing or iterating ad creative from grounded product and audience inputs. NOT FOR: campaign budgets, bidding, or targeting (use suede-ads), statistical test design (use suede-ab-testing), or landing-page copy (use suede-copy).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Normalize and collect complete Opportunity Solution Tree inputs before OST synthesis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Security best practices for Micronaut/Kotlin backend including authentication, authorization, input validation, and OWASP prevention. Use when implementing auth, validating inputs, or reviewing security.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

React conventions. Apply automatically whenever writing or editing React code — JSX/TSX files, components, hooks, props, effects, accessibility (WAI-ARIA), file grouping, React 19 APIs, React Compiler, URL state, and the React ecosystem (TanStack Query, Zustand, React Hook Form, nuqs, Next.js, money and crypto inputs). Builds on the typescript skill, which still applies. Use for any new React code or refactor.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.