'ati' 검색 결과

Structure mobile apps built with React Native and Expo. Covers navigation, state management, device feature integration, offline data synchronization, and performance practices, helping developers organize projects and account for differences between iOS and Android.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Structuring a new React Native or Expo app
• Designing tabs, authentication screens, and modals
• Planning device integrations and offline synchronization

Configure OAuth 2.0 authorization for web and mobile apps or service communication. Choose suitable flows, implement PKCE to protect authorization codes, limit permissions, and manage token storage, renewal, and revocation with security checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement authorization with PKCE for web and mobile apps
• Configure authorization for service-to-service communication
• Review token storage, renewal, and revocation

Audit TLS/SSL, the technology that encrypts network connections, across servers and mobile apps. The skill covers outdated protocols, weak encryption, certificate validation failures, known vulnerabilities, and replay risks, helping organize evidence and prioritize fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing server protocols, encryption settings, and certificates
• Reviewing certificate validation in mobile apps
• Assessing TLS 1.3 replay risks and mutual authentication

Work with mathematical formulas in Python to solve equations, calculate derivatives and integrals, and manipulate matrices. Keep exact results using symbols, then turn expressions into executable code or formatted LaTeX equations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Solve equations while keeping variables and exact values
• Calculate derivatives, integrals, and limits
• Find matrix eigenvalues and inverses

The craft of weaving story into interactive systems where the player is both audience and author. This skill covers the unique challenges of game narrative: branching structures that respect player agency, environmental storytelling that rewards exploration, dialogue systems that feel alive, and the delicate balance between authored experience and emergent narrative. Unlike linear media, games don't tell stories TO players - they create the conditions for stories to emerge WITH players. The narrative designer's job is to build the scaffolding that supports infinite player-authored moments while maintaining coherent themes and emotional arcs. This skill synthesizes lessons from Disco Elysium's internal monologue as gameplay, Hades' death-as-narrative-engine, interactive fiction's branching mastery (Inkle, Twine), and procedural narrative pioneers like Dwarf Fortress. It addresses ludonarrative harmony, bark systems, cinematics that respect agency, and the "and therefore" test that separates plot from story. Use when "narrative design, game story, game writing, dialogue system, branching narrative, player choice, environmental storytelling, bark system, quest design, lore delivery, ludonarrative, interactive fiction, inkle, twine, dialogue tree, player agency, cinematic design, voice direction, localization, procedural narrative, narrative, game-writing, dialogue, branching, player-agency, environmental-storytelling, quest-design, voice-acting, localization, interactive-fiction, procedural-narrative, ludonarrative" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

The intersection of AI generation and performance marketing. This skill covers creating ad creatives at scale using AI tools—from static images to video ads to dynamic creative optimization—while maintaining the conversion focus that performance marketing demands. Traditional creative testing is slow: create 5 variants, wait weeks for data, iterate. AI-powered ad creative is fast: generate 50 variants in an hour, test simultaneously, learn in days, iterate continuously. The constraint is no longer production capacity—it's testing velocity and creative strategy. This skill bridges AI generation capability with advertising effectiveness, ensuring that AI-created ads don't just look good—they convert. Use when "AI ads, ad creative, performance creative, ad generation, creative testing, ad variants, DCO, dynamic creative, Meta ads, Google ads, ad fatigue, conversion creative, advertising, performance-marketing, creative-testing, ai-ads, conversion, paid-media, scale" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

GitHub 解封 — 账号封禁/限制/恢复的领域操作系统。覆盖：(a) GitHub 官方政策体系 (TOS / 可接受使用政策 / Trust & Safety 执行模式 / 公开申诉路径 / 受制裁地区解读)；(b) 封号原因诊断学 (spam / abuse / 制裁误标 / 2FA 丢失 / ToS 违规 / 账号劫持误判 / ban evasion 等子类型 + 症状→原因映射 + 自我分诊压测)；(c) 申诉实操 craft (写一封能让 T&S 快速判误伤的英文申诉信 + 升级阶梯 + 法务介入边界 + Don'ts)；(d) 制裁与合规硬边界 (OFAC SDN 名单 / 哪些国家或地区真不可达 / VPN 误判路径 / 中国大陆不是美国制裁地区的反复重申)；(e) 中国大陆开发者特别处境 (sanctioned region 误标 + SMS 验证不支持 +86/+852 + Gitee/GitLab/Codeberg/JihuLab 备用迁移 + 私有自托管 Gitea/Forgejo)；(f) 真实案例库 (~30+ 公开案例分类拆解：误伤 / 真违规 / 制裁误标三类各自赔率与申诉成功路径)。伦理锚绝不软化：不教 ban evasion / 不教撒谎式申诉 / 真违规承认改进 / 丢 2FA 无恢复因子则诚实告知 / 中国制裁误标靠申诉不靠换 VPN / 申诉 6 个月窗口必算清 / 约 3% (业内估) 真违规恢复 vs 约 79% (业内估) 误伤申诉成功率分层标。 (GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: false-positive / genuine violation / sanctions mis-flag, each with win-rate and appeal success path). Ethical anchors absolutely not softened: do NOT teach ban evasion (creating new accounts turns a temp ban into a permanent one — the single biggest mistake); do NOT teach social engineering or lying in appeals (misuse + actually confirms violation); genuine violations: admit + improve beats denial; lost 2FA + no recovery factor → do not pretend recovery is possible; China sanctioned-region mis-flag → fix via appeal, not repeated VPN switching; appeal form 6-month window must be counted carefully; historical 约 3% (业内估) genuine-violation recovery vs 约 79% (业内估) false-positive appeal success rate stratification must be honestly labeled. Anti-samples (explicitly describe harm, never endorse): developer permabanned for ban evasion / open-source team org-banned for personal attacks in public issues / cases where repeated VPN switching escalated risk-control severity.) Master OS — automated mastery of GitHub Account Reinstatement — the domain operating system for GitHub (and analogous platform) account suspension, restriction, appeal, and recovery. Covers: (a) GitHub official policy architecture (TOS / Acceptable Use Policies / Trust & Safety enforcement patterns / public appeals pathways / sanctioned-region interpretation); (b) suspension-cause diagnostics (spam / abuse / sanctions mis-flag / 2FA loss / ToS violation / account hijack false-positive / ban evasion taxonomy + symptom→cause mapping + self-triage pressure test); (c) appeal craft (writing an English appeal letter that gets T&S to fast-track a false-positive ruling + escalation ladder + legal-engagement boundary + Don'ts); (d) sanctions and compliance hard boundaries (OFAC SDN list / which countries/regions are truly unreachable / VPN false-positive paths / China is NOT a US-sanctioned region — repeated emphasis); (e) mainland China developer special circumstances (sanctioned-region mis-flag + SMS verification does not support +86/+852 + Gitee/GitLab/Codeberg/JihuLab fallback migration + self-hosted Gitea/Forgejo); (f) real-case library (~30+ public cases with categorized analysis: fa

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

React Native와 Expo 앱의 화면 이동, 상태 관리, 데이터 가져오기를 설계합니다. 긴 목록 표시, 폼, 기기 기능 사용과 인증 토큰 저장 방식도 다룹니다.

• Expo 화면과 화면 이동을 만들 때
• 가져온 데이터와 화면 상태를 정리할 때
• 긴 목록 표시를 개선할 때

Create mathematical and technical explainer videos with Manim Community Edition. The skill guides scene planning, animation code, rendering, and clip assembly to show equations, algorithms, system structures, and data through coordinated visuals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining mathematical concepts through animation
• Showing equation derivations step by step
• Visualizing algorithm execution

Build and debug mobile apps for iOS and Android with React Native and Expo. Implement navigation, adapt screens to each platform, integrate native modules that access platform features, and improve list rendering, keyboard behavior, and memory use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an app for both iOS and Android
• Adding tabs, navigation stacks, and deep links
• Improving scrolling performance in long lists

Turn Stitch HTML designs into React Native screens and reusable components, or update existing components to match newer designs. Extract shared style values, implement layouts with StyleSheet, and organize navigation, data, and interaction logic.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert Stitch designs into React Native screens
• Update existing components to match newer Stitch designs
• Share colors, fonts, and spacing across screens

Plan AI-assisted ad creative production, testing, budget allocation, and measurement across advertising platforms. It provides workflows for comparing messages, adapting assets to each channel, and refreshing ads when repeated exposure starts to reduce performance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning AI-assisted ad image and video production
• Testing opening hooks, narratives, and calls to action
• Refreshing ads as repeated exposure reduces performance

Use scGPT to convert single-cell gene expression data into numerical representations of cells and genes. These representations support clustering, data integration, cell-type annotation, and analyses of gene perturbations or regulatory relationships.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating cell representations from AnnData
• Preparing single-cell data for clustering and integration
• Annotating cell types with or without fine-tuning

Choose quantitative or qualitative methods that fit a research question and dataset. Compare alternatives, check assumptions, generate analysis code, interpret results, and examine sensitivity, meaning how conclusions change under different analytical choices.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing methods for a research question
• Generating analysis code in R or Python
• Planning theme identification in interview data

Develop workflows for satellite imagery and geographic data, using guidance and code examples to calculate vegetation indicators, classify land cover, analyze terrain, and find road routes. Covers GIS, software for working with location-based information, and spatial machine learning.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracking vegetation changes in satellite imagery
• Classifying land cover with machine learning
• Aggregating location data by region

Real-world problem formulation, mathematical abstraction, and applied mathematics for translating between practical problems and mathematical frameworks. Covers the modeling cycle (problem identification, assumptions, formulation, analysis, validation, interpretation), Polya's framework adapted for modeling, common model types (linear, exponential, logistic, periodic, power-law), dimensional analysis (Buckingham Pi theorem), optimization (linear programming, gradient descent, constraint satisfaction), probability models (Markov chains, queuing theory, Monte Carlo simulation), statistical modeling (regression, hypothesis testing, model selection), model criticism (overfitting, underfitting, sensitivity analysis), and real-world case studies. Use when formulating mathematical models, performing dimensional analysis, optimizing systems, running simulations, or evaluating model validity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

BDD-Driven Mathematical Content Verification Skill Combines Behavior-Driven Development with mathematical formula extraction, verification, and transformation using: - Cucumber/Gherkin for specification - RSpec for implementation verification - mathpix-gem for LaTeX/mathematical content extraction - Pattern matching on syntax trees for formula validation Enables iterative discovery and verification of mathematical properties through executable specifications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, creative concept diversity for Meta Advantage+ (why six variants of one ad are not a diverse library, and what to brief instead), creator-made ad creative on a spend-share deal, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions — starting with whether the form fill or booked meeting fires on a confirmed success at all (inline AJAX forms, iframe embeds, Calendly event_scheduled vs a picked slot), proved by a test conversion that arrives. Also triggers on: conversions stopped, zero conversions, spend but no conversions, too many conversions, double counting, conversion tracking not working. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, u

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

native Paperclip Runner에 새 실행 도구나 제공업체를 연결합니다. 요구 사항과 통신 규격 조사부터 구현, 패키지 제작, 실제 환경의 전체 동작 검증까지 진행합니다.

• Runner에 새 연결을 추가합니다
• 실행 도구의 통신 규격과 기능을 조사합니다
• 연결 기능의 취소와 복구를 검증합니다

Automate Centralstationcrm operations through Rube MCP, a connection for agent tools. Agents discover available operations, verify the service connection, and use current input requirements to carry out the requested workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discovering available Centralstationcrm operations
• Checking the connection before starting a workflow
• Preparing bulk operations with discovered tools

AI 에이전트가 Rube MCP를 통해 Blocknative 작업을 수행하도록 합니다. 사용 가능한 도구와 입력 형식을 찾고 연결 상태를 확인한 뒤 실행합니다.

• 사용 가능한 작업을 찾을 때
• 실행 전에 연결 상태를 확인할 때
• 반복 작업을 자동화할 때

Build Python features that identify a speaker’s intent and extract details such as names from conversation text using Azure. Get guidance on request structure, authentication, client cleanup, and exception handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding intent detection to a Python application
• Extracting names and other details from conversation text
• Structuring requests for ConversationAnalysisClient

Plan tiered administration for Active Directory by separating administrative accounts and systems into three levels. Cover dedicated administration workstations, authentication restrictions, and verification checks to help limit credential theft and the spread of compromise.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tiered Active Directory administration
• Separating privileged accounts by administrative tier
• Planning dedicated administration workstations

Creates Terraform configuration for Google Cloud Monitoring notification channels, including email, Slack, and Pub/Sub, and attaches channels to existing alert policies. It also checks Pub/Sub topic compatibility and publishing permissions when inspecting the cloud environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Configuring email or Slack alert notifications
• Adding notification channels to existing alert policies
• Checking Pub/Sub topic compatibility and publishing permissions