'ad' 검색 결과

🇺🇸 GitHub README Writing System — Craft a README that converts visitors to stars in <3 seconds. Proven structure from AFFiNE's 0→60K star journey: tagline engineering, first-screen law, section-by-section copywriting guide, Claude Code integration section, anti-patterns, and a pre-publish checklist. Use when you need to write or rewrite a specific README file. 🇨🇳 GitHub README 写作系统 — 打造 3 秒内把访客转化为 star 的 README。来自 AFFiNE 0→60K star 实战：tagline 工程、首屏法则、逐节文案指南、Claude Code 集成板块、反模式、发布前自检清单。需要写或改一个具体 README 文件时使用。 🇯🇵 GitHub README 作成システム — 3秒以内にビジターをスターに変えるREADMEを作る。AFFiNE 0→60Kスター実績から: タグライン設計、ファーストスクリーン法則、セクション別ライティングガイド、Claude Codeインテグレーション、アンチパターン、公開前チェックリスト。 🇰🇷 GitHub README 작성 시스템 — 3초 안에 방문자를 스타로 전환하는 README 작성법. AFFiNE 0→60K 스타 실전: 태그라인 설계, 첫 화면 법칙, 섹션별 카피라이팅 가이드, Claude Code 통합 섹션, 안티패턴, 게시 전 체크리스트. Triggers: "write README" | "README template" | "GitHub README" | "project description" | "tagline" | "open source README" | "README structure" | "README review" | "fix README" | "rewrite README" | "README写作" | "写README" | "README模板" | "项目介绍" | "开源项目文案" | "改README" | "README检查" | "README 구조" | "README 작성" | "README 검토" | "READMEの書き方" | "READMEレビュー"

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.

Create ad headlines, body text, and static or video concepts tailored to advertising platforms. Use performance data and customer feedback to develop variations, check format limits, and define measurable tests for the next round.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting search ad headlines within character limits
• Developing new variations from ad performance data
• Planning static ads grounded in customer reviews

Search Meta Ad Library by keyword or Facebook page ID and collect ad text, images, videos, destination links, and publishing platforms. Filter by country and ad status to gather material for competitor advertising research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching competitors' ad copy and visuals
• Collecting ads from a specific Facebook page
• Comparing ads by country and publishing platform

삭제한 ADR 설계 결정 기록이나 관계 정보가 색인에 남았을 때 전체 삭제 후 재구축합니다. 현재 파일 수와 등록 수를 대조하며, 변경 없이 작업 내용을 미리 확인할 수 있습니다.

• ADR 파일을 삭제한 뒤 색인을 재구축할 때
• ADR 관계 삭제 후 남은 정보를 정리할 때
• ADR 색인을 정기적으로 맞출 때

Coordinate paid advertising work across multiple platforms, including Google Ads and Meta Ads. Use it to discuss strategy, budgets, acquisition costs, return on ad spend, and campaign performance, or identify the appropriate specialist advertising skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an advertising strategy across multiple platforms
• Discussing advertising budgets and spending
• Reviewing acquisition costs and return on ad spend

Write Google Ads headlines, descriptions, and responsive search ad components. Create alternative messages for A/B testing, which compares ad versions, and develop copy ideas aimed at improving the click-through rate of existing ads.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft headlines and descriptions for a new ad group
• Create components for responsive search ads
• Compare different advertising messages with A/B tests

Migrate .NET Framework code that forcibly stops threads to cooperative cancellation, where work checks and responds to stop requests. The skill covers loops, timeouts, blocked threads, and ASP.NET request endings, with cleanup and validation guidance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Replacing Thread.Abort when moving to .NET 6 or later
• Migrating timeouts and blocked-thread cancellation
• Preserving cleanup from ThreadAbortException handlers

설계 결정과 이유를 기록한 ADR을 읽어 검색 색인과 의존 관계 그래프를 만들고 갱신합니다. 두 문서 형식을 지원하며 참조와 상태의 불일치도 집계합니다.

• 다른 프로젝트의 ADR을 가져온 뒤 색인 생성
• 파일과 관계 그래프 동기화
• 기존 코드베이스에서 ADR 관리 시작

Create ad copy and campaigns for Facebook and Instagram, review advertising spend and delivery results, and manage catalogs and product feeds. The skill also checks advertising policy questions through a dedicated policy tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft ad copy and plan a campaign
• Review campaign spending and delivery results
• Manage product catalogs and feed refresh schedules

Create polished shieldcn README badges, badge groups, charts, headers, sponsors grids, and full README hero sections. Use when a user wants shadcn/ui-styled badges, Shields.io replacement, npm/GitHub/CI/status badges, download charts, README header banners, contributor/sponsor images, or README Studio guidance. Triggers include "add badges", "add shields", "README badges", "npm badge", "GitHub stars badge", "CI badge", "download chart", "README header", "README banner", "contributors grid", "sponsors grid", "build a README", "README Studio", "shieldcn", and requests to make a project README look better.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

저장된 아키텍처 결정 기록인 ADR의 관계를 검증해 끊어진 참조, 대체 관계의 순환, 상태 불일치를 보고합니다. 가져오기 후나 출시 전 점검에 활용합니다.

• ADR 가져오기 후 일관성 확인
• 지속적 통합에서 불일치 탐지
• 출시 전 저장된 ADR 데이터 점검

Plan and review paid advertising across Google Ads, Meta, LinkedIn, and other platforms. Organize audiences, budgets, and bidding, then assess results using customer acquisition costs and sales data while separating evidence, hypotheses, and missing information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose advertising platforms and budget allocations
• Review campaign results and decide next steps
• Find wasted spend in search advertising

Audit a website for Google AdSense application readiness or ongoing ad-serving issues. Check content, navigation, crawler access, and disclosures against official requirements, then receive evidence-based findings, specific fixes, and a complete checklist with unresolved questions clearly marked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a site before applying for AdSense
• Investigating issues after an AdSense rejection
• Reviewing policy risks on a site that already serves ads

Coordinate conversion of CAD and other source assets into simulation-ready USD, a 3D scene format. Organizes material and physics assignment, SimReady conformance checks, validation, and optional preview images and deliverable packages, with consolidated reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Convert CAD assets for simulation
• Assign materials and physics properties
• Validate existing USD assets against SimReady requirements

Configuring Salesforce lead management and conversion in Setup: lead settings, web-to-lead, conversion field mapping, lead queues, auto-response rules, lead processes. Trigger keywords: web-to-lead, lead conversion, lead field mapping, lead settings, lead process, lead queue, lead auto-response. NOT for Apex that controls what conversion creates - use apex/lead-conversion-customization. NOT for lead assignment rule logic - use admin/assignment-rules. NOT for duplicate rule configuration - use admin/duplicate-management. Also covers: LeadConvertSettings objectMapping XML, LeadConfigSettings, LeadStatus StandardValueSet converted flag, lead process BusinessProcess, Database.convertLead bulk conversion limits.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This metadata record supports the BMad Core Tools module. Use the separate bmad skill to set up the module or report its current state; this record is not intended to be invoked directly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up the BMad Core Tools module through bmad
• Checking the module's current state through bmad
• Identifying the required setup entry point

Audit Google Mobile Ads SDK integration in iOS, Android, or Unity projects. Check test IDs, ad units, SKAdNetwork IDs, adapter compatibility, and ad preloading, then report findings and next steps in a table.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit mobile ad integration before launch
• Check for remaining test IDs and invalid formats
• Review SKAdNetwork IDs and adapter compatibility

공개 전 원고를 예상 독자의 관점에서 읽고, 읽기 시작할지, 어디서 관심이 줄어드는지, 무엇을 기억하는지 확인합니다. 글을 고치지 않고 독자의 반응을 보고합니다.

• 게시물을 끝까지 읽을지 확인
• 독자가 읽기를 멈추는 지점 파악
• 수정 전후 독자 반응 비교

Rube MCP를 통해 AI 에이전트가 Adobe 작업을 자동으로 수행하도록 합니다. 사용 가능한 도구와 최신 입력 요건을 검색하고 연결 상태를 확인한 뒤 실행합니다.

• Adobe에서 지원하는 작업 검색
• Adobe 연결 확인 및 설정
• Adobe 작업을 에이전트에 위임

AI 에이전트에서 Adrapid 작업을 자동화합니다. Rube MCP로 사용 가능한 도구와 최신 입력 요건을 찾고, 연결 상태를 확인한 뒤 작업을 실행합니다.

• Adrapid에서 지원하는 작업을 찾습니다
• Adrapid 연결을 확인하고 설정합니다
• Adrapid 작업을 에이전트에 맡깁니다

Rube MCP로 Adyntel 작업을 자동화합니다. 목적에 맞는 도구와 최신 입력 명세를 검색하고 연결 상태를 확인한 뒤 작업을 실행합니다.

• Adyntel 작업 도구 검색
• 실행 전 Adyntel 연결 확인
• Adyntel 작업 일괄 처리

Build or correct CSV headers for bulk transaction uploads in TRES Finance. Check exact column names and order, including the optional Fiat Value column, to address errors caused by missing or incorrectly named headers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fix headers after a missing-column error
• Create a transaction upload CSV template
• Replace snake_case headers with display names

Use when creating, managing, or optimizing paid advertising campaigns across any platform. Covers ad copy generation, ad creative strategy, campaign management, and competitive intelligence. Triggers on: ad copy, ad creative, paid ads, paid advertising, Facebook ads, LinkedIn ads, Google ads, Meta ads, ad campaign, ad strategy, ad testing, competitive ads, competitor ads, ad library, ad analysis, ad creative generation, campaign management, ROAS, CPC, CTR. Use this skill whenever the user mentions ads, paid channels, ad campaigns, ad copy, ad performance, or wants to analyze competitor advertising.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.