'ai' 검색 결과

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. 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, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Inbound email processing in Salesforce via Email Services + the `Messaging.InboundEmailHandler` Apex interface. Covers EmailService configuration (running user, accept-from address, attachment handling, error / failure routing), the EmailServicesAddress per-routing-address pattern, the handler's `Messaging.InboundEmail` payload (text body, HTML body, headers, attachments, in-reply-to threading), and the canonical Email-to-Case alternative for case creation. NOT for outbound email (use admin/email-templates-and-alerts), NOT for Email-to-Case flow customization itself (use admin/email-to-case-configuration). Trigger keywords: EmailServicesFunction, EmailServicesAddress, runAsUser, localPart, EmailDomainName, attachmentOption, overLimitAction, errorRoutingAddress, routing address, inbound email limit.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review quarterly updates and financials across portfolio companies to identify practical AI opportunities. Rank them by estimated profit impact, speed, and feasibility, then outline first steps and approaches that other companies can reuse.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Quarterly reviews of AI opportunities across portfolio companies
• Prioritizing companies for AI investment and operational support
• Finding ways to reuse successful AI projects across companies

Diagnose and repair GBrain’s Postgres access with a fixed recovery command. Apply routine fixes, request approval for configuration rewrites, and verify connectivity afterward. Credential problems and other manual cases are returned with instructions for the operator.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnose GBrain database connection failures
• Apply routine fixes such as reconnecting or pending migrations
• Review and approve connection configuration rewrites

Compare AI regulations or guidance with existing company policies and practices. Determine applicability, identify missing requirements, and create a prioritized remediation plan with owners and deadlines, while highlighting legal uncertainties that need attorney judgment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a new AI regulation applies to the company
• Comparing EU AI Act requirements with current practices
• Assigning owners and deadlines to compliance gaps

Inspect images and videos you generated or edited for AI watermarks and embedded origin information, then remove selected signals. The skill guides a command-line tool and reports completed operations without treating missing signals as proof of human authorship.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting files for AI origin signals
• Removing visible AI labels from your own media
• Removing embedded AI metadata

World-class expertise in measuring, attributing, and optimizing AI-generated content performance. Combining data science rigor with content strategy intelligence to answer the questions traditional content analytics can't: Is AI content performing? Which AI variations convert? What's the true ROI of AI vs traditional content creation? This isn't vanity metrics for robots. This is the discipline of proving AI content drives business outcomes - and using that data to make AI content systems better, faster, and more profitable. Built on the principles of companies like Jasper, Copy.ai, and Notion who've scaled AI content operations with measurement as the foundation. Use when "ai content performance, ai content analytics, measure ai content, ai content roi, ai vs human content, ai content attribution, ai content testing, ai variation testing, ai content dashboard, ai content metrics, prompt performance, ai content conversion, ai content quality score, content velocity, ai content efficiency, ai-content, analytics, measurement, attribution, roi, ab-testing, performance, optimization, data-driven, content-analytics" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Plan how to sell AI products to enterprises, from product messaging and variable pricing to failure accountability. Use practical frameworks to structure demos, address operational concerns, and identify buyers prepared to adopt AI agents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose how to describe an AI product
• Compare pricing models for variable AI usage
• Address responsibility for AI failures

Compare internal AI policies with saved assessments, vendor reviews, and proposed uses. Identify missing or conflicting commitments, draft policy wording, and suggest when updates and use case records need attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing policy gaps against approved AI practices
• Checking a proposed AI use before launch
• Drafting policy updates with clear priorities

Assess factual claims in AI-generated text by separating facts from opinions, choosing suitable independent evidence, and explaining what is supported or uncertain. Use it for a completed fact-check or an optional exercise in evaluating AI answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fact-checking an AI-generated answer
• Choosing independent sources for a claim
• Identifying unverified numbers and assertions

Expert NIST AI Risk Management Framework (AI RMF 1.0) advisor covering all four functions: GOVERN, MAP, MEASURE, MANAGE. Use this skill whenever a user asks about NIST AI RMF, AI risk management, AI trustworthiness, GOVERN function, MAP function, MEASURE function, MANAGE function, AI RMF Playbook, AI risk profiles, responsible AI, AI bias management, AI transparency, AI explainability, AI reliability, AI safety, NIST AI 100-1, AI risk assessment, AI incident response, or alignment to EU AI Act, ISO 42001, or NIST CSF via AI RMF. Trigger even if the user doesn't say "skill" — any NIST AI RMF or AI governance risk question should use this skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

FAISS로 대규모 벡터에서 유사한 데이터를 검색하도록 돕습니다. 인덱스 선택과 저장, GPU 사용을 안내하고 검색 속도·정확도·메모리 사용량을 조정합니다.

• 대규모 벡터 유사도 검색 구현
• 속도·정확도·메모리에 맞는 인덱스 선택
• GPU를 이용한 일괄 검색

AI 에이전트 전용 메일함을 만들고 메일 송수신, 답장, 첨부 파일을 처리합니다. 이메일 인증 코드를 확인하고 새 메일 수신 후 작업을 이어 가는 흐름도 설정합니다.

• AI 에이전트 전용 이메일 주소 생성
• 메일 발송과 답장·첨부 파일 처리
• 이메일로 받은 인증 코드 확인

코딩 에이전트가 gbrain을 호출하도록 CLI 설치, 로컬 PGLite 또는 Supabase 초기화, MCP 등록과 원격 연결별 신뢰 정책 설정을 진행합니다.

• 새 컴퓨터에서 gbrain을 처음 설치할 때
• 로컬 PGLite로 초기화할 때
• Supabase 사용 구성을 설정할 때

fal.ai에서 브랜드, 캐릭터, 화풍에 맞는 이미지 생성을 위한 맞춤형 LoRA를 학습합니다. 목적에 맞는 이미지 생성 모델을 준비합니다.

• 브랜드용 이미지 생성 모델 학습
• 캐릭터에 맞는 맞춤형 모델 준비
• 특정 화풍에 맞춘 LoRA 학습

Run Bigmailer operations through Rube MCP, a connection for agent tools. The skill searches Composio for available actions, checks authentication status, and executes tasks according to the latest tool input requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Bigmailer actions
• Running Bigmailer tasks through an agent
• Processing Bigmailer operations in bulk

Helps design focused AI products built on APIs such as OpenAI and Anthropic. Covers product strategy, prompts, model selection, user experience, usage tracking, and cost management for tools aimed at solving specific customer problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an AI SaaS product for a specific problem
• Designing prompts for product features
• Balancing model choices, costs, and user experience

Give an AI agent an email address through the AgentMail API for theagentmail.net. Covers account creation, sending and reading messages, retrieving attachments, setting up incoming-email notifications, and checking organization billing balances.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an email account for an AI agent
• Retrieving verification emails for authorized service signups
• Sending authorized messages and checking replies

Make your local gbrain accessible to other devices and cloud agents through MCP, a connection interface for AI tools. Set up Tailscale access, assign limited permissions to each client, configure authentication, and verify connections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Accessing gbrain from another laptop or phone
• Connecting cloud agents to your local gbrain
• Giving each client limited access permissions

Review an AI Management System against six audit questions covering scope, policy, risks, reassessment, audit independence, and integration with existing management systems. Summarize evidence gaps, readiness, and three prioritized actions with owners and dates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing readiness before a stage 1 certification audit
• Preparing the annual internal audit plan
• Adding an AI system to the management scope

Run Bigmailer operations through Rube MCP, a connection for agent tools. The skill searches Composio for available actions, checks authentication status, and executes tasks according to the latest tool input requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Bigmailer actions
• Running Bigmailer tasks through an agent
• Processing Bigmailer operations in bulk

Check proposed AI uses against your organization's registry and prohibited uses. Classify each as approved, conditional, or not approved, explain the reasoning, and identify required actions, responsible teams, and relevant legal reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking whether a proposed AI use is permitted
• Listing requirements and owners for conditional use
• Reviewing multiple AI proposals together

Set up an AI governance plugin through an interview and shared documents. It records organizational roles, policy commitments, assessment conventions, and vendor requirements in a configuration file that other governance skills use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up an AI governance plugin for the first time
• Turning AI policies and assessments into shared settings
• Revising governance settings after operational changes

Assess how your product team uses AI across five capabilities, from shared context to team review practices. Identify whether work is simply faster or fundamentally redesigned, and choose which capability to strengthen next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing a product team's AI maturity
• Choosing the next AI capability to develop
• Reviewing workflows beyond task automation