'ai platform' 검색 결과

Coordinate paid advertising work across twelve platforms, from account audits and budget planning to creative briefs, experiments, monitoring, and reports. Ground recommendations in evidence and execute account changes only when explicit approval and required safeguards are in place.

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• Coordinating advertising audits across platforms
• Planning budgets and conversion measurement
• Developing ad copy, creative briefs, and experiments

Create distinct paid advertising concepts, headlines, copy, and production briefs from validated brand information and campaign goals. Each concept connects its message to evidence, audience needs, platform requirements, and a hypothesis to test.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop campaign concepts with distinct strategic angles
• Draft ad headlines and descriptions
• Prepare creative briefs and production plans

Choose Cloudflare services and implement applications using guidance for compute, storage, AI, networking, and security. The skill directs the agent to relevant references and current official documentation for configuration, APIs, limits, and pricing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose services for a Cloudflare application
• Select storage for databases and files
• Build AI agents and semantic search

Provider-independent cinematic trailer production for AI agents creating movie-style trailers, teaser trailers, launch trailers, game trailers, documentary trailers, series promos, and high-impact generated-media previews. Use for trailer strategy, structure, shot planning, voiceover/title-card copy, music and sound-design direction, generated-video prompt translation, edit pacing, platform/runtime choices, delivery handoff, rights/claims caveats, and trailer QA.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Win #1 Product of the Day on Product Hunt. Completely reverse-engineered from 30x daily winner and 3x weekly winner campaigns — ranking algorithm decoded, launch timing optimized, hunter selection guide, community engagement approach, and post-launch momentum playbook. Use this if you're: (1) already read PH launch guides but still can't break into Top 5 and need algorithm-level deep optimization, (2) targeting Daily #1 and 5,000+ sign-ups with a proven 30+ case validated approach, or (3) an investor/accelerator coaching portfolio companies on PH launches. What's inside: PH ranking algorithm decoded: weighted factors for first 3 hours, 24 hours, and weekly ranking · Pre-launch preparation: gallery optimization, product URL selection, tagline refinement (≤60 chars) · Launch timing optimization: exact PST launch windows + scheduling guide · Community engagement KPIs: upvote targets, comment response time, maker comment strategy · Platform compliance guide: understanding PH's quality signals and organic growth · Post-launch 72-hour plan: maintaining momentum, conditions for Weekly #1 · Case studies: 3 different categories (AI Tool, App, SaaS) dissected Expected outcomes: Product Hunt Daily #1 ranking · strong community engagement on launch day · 3,000–10,000+ sign-ups (depending on product-market fit) 🇨🇳 Product Hunt 打榜完整攻略 | 🇯🇵 Product Hunt ローンチガイド | 🇰🇷 Product Hunt 런칭 가이드 Keywords: Product Hunt #1, Product Hunt launch strategy, PH ranking algorithm, PH #1 daily winner, Product Hunt tips, product launch, startup launch, ranking optimization, PH gallery optimization, Community engagement strategy, maker community engagement, product strategy, launch tactics, how to win Product Hunt, product hunt best practices

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Get guidance on Codex, OpenAI APIs, and ChatGPT Work using official documentation with citations. Use it to investigate settings and errors, compare models, plan migrations, or work on prompts and API integrations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check Codex settings and troubleshoot errors
• Compare models for a particular task
• Plan a model migration and prompt changes

Build Python workloads on Modal for cloud execution, including GPU model training and inference, web APIs, scheduled jobs, and parallel batch processing. Configure container environments, persistent storage, and automatic scaling through the Modal SDK.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Serving an AI model through a web API
• Running model training or fine-tuning on cloud GPUs
• Processing independent batch inputs in parallel

Generate realistic photo-style images with Google AI Studio for social posts and educational materials. Adjust aspect ratios, lighting, settings, and subtle imperfections to create a natural smartphone-photo look suited to each use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Natural lifestyle images for social posts
• Photo-style illustrations for courses and tutorials
• Portrait or landscape images for different platforms

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Evaluating answers against test datasets
• Monitoring production latency and costs

Use Phoenix to record execution traces, detailed records of an AI application's operations, and investigate problems. Evaluate answers on datasets, compare prompts and models, and set up monitoring through a self-hosted server.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate AI application problems using execution traces
• Evaluate answer quality across a test dataset
• Compare prompts and models through experiments

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Refresh evidence behind paid advertising guidance by checking platform changes, APIs, policies, regulations, and benchmarks. Record sources and contradictions, flag outdated or unsupported claims, and propose updates grounded in current primary sources.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refreshing overdue advertising research
• Rechecking platform and API claims
• Reviewing evidence behind advertising benchmarks

Identify agent failures that happen before any work starts by checking iteration counts, tool use, artifacts, and logs. Classify these incidents as pre-execution failures and guide investigation toward environment setup, initialization, and resource limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating agent sessions with zero completed iterations
• Classifying failures before the first tool call
• Routing incidents to infrastructure or platform teams

Build and deploy TypeScript agents on OpenServ that run custom tools, call APIs, or generate content. The skill covers capability definitions, platform registration, local development, task logging, and deployment, including platform-managed AI calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an agent that calls external APIs
• Create a translation or sentiment-analysis agent
• Attach logs and generated files to tasks

Evaluate AI agents by preparing test cases, scoring responses and tool use, investigating failures, and comparing results after changes. Supports built-in checks and custom scoring rules, including evaluations performed by a language model.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create test cases for an AI agent
• Check response quality and tool use
• Investigate failed evaluation cases

Track Google and Meta ad spending against monthly budgets across accounts and campaigns. Project spending at month end, flag overuse or underuse, and calculate daily budget changes while accounting for weekday and weekend spending patterns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking weekly spending against monthly targets
• Managing client accounts with strict monthly budgets
• Monitoring daily spending during promotions

Capture quick thoughts as topic notes or daily journal entries, then connect related pages with links. Daily entries include the date, a link to yesterday, and fields for mood, top three items, and gratitude.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capturing a quick thought as a topic note
• Recording morning intentions and evening reflections
• Connecting related notes with links

Designs Amazon-compliant main product images and the 7 secondary image types (Infographic / Multi-angle / Detail Shot / Lifestyle / Variants / What's in Box / Size Reference) — with platform-mandatory main-image rules, conversion-rate-tuned secondary types per product category, and multi-image consistency anchored to the main image URL. Use when the user says "Amazon main image", "亚马逊主图", "product main image", "white background product image", "Amazon listing image", "亚马逊副图", "secondary images", "product carousel images", or any request for the 1:1 product image suite that lives on the Amazon detail page carousel. For A+ Content / detail-page modules (21:9 Hero Banner and 3:2 module layouts), see the `product-shots-detail-page` skill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

Use when an OpenAI API request fails or the user asks what an error means, including blocked access to api.openai.com, 401 invalid_api_key, missing OPENAI_API_KEY, 429 insufficient_quota, 429 rate_limit_exceeded, or 403 model_not_found. Classify the failure, name the next step, route credential setup to openai-platform-api-key, and current guidance to openai-docs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

기사나 공지를 바탕으로 X, LinkedIn, Threads, Bluesky용 게시글을 작성합니다. 작성자의 말투를 유지하며 각 매체의 제약에 맞게 조정합니다.

• 새 서비스 공지를 여러 매체에 전합니다
• 기사를 매체별 게시글로 바꿉니다
• 출시 정보를 여러 매체에 맞게 조정합니다

Update the published Remotion plugin for Codex and ChatGPT to a released version. Prepare and validate an upload ZIP, preserve existing listing details, and follow the dashboard workflow through review and publication verification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Update the public plugin to a released Remotion version
• Prepare an upload ZIP while preserving listing details
• Resume an existing draft or review

Design and build Apify integrations for workflow platforms, AI agents, AI frameworks, or applications. Follow guidance for authentication, asynchronous cloud task execution, result retrieval, spending limits, error handling, testing, and release preparation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Apify actions to a workflow automation platform
• Building an Apify plugin for an AI agent
• Connecting an AI framework package to Apify