“ds”的搜索结果

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

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Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key constraints, OCC retry patterns, ORM migration (Django/EF Core/Hibernate/Rails/SQLAlchemy), DDL operations, query plan explainability, system diagnostics via CloudWatch AAS, SQL compatibility validation, and bulk data loading. Load before answering DSQL limit or error-code questions; it has limits docs omit. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader, DSQL slow, DSQL performance, DSQL wait events, DSQL AAS.

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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.

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

Find Threads accounts by name or keyword and collect usernames, display names, and verification status. Retrieve additional profile details, including biographies and follower counts, to review accounts related to a topic.

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• Find accounts related to a topic
• Discover creators on Threads
• Collect biographies and follower counts

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.

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

Audit Microsoft Advertising tracking, search and audience campaigns, Google Ads imports, keywords, bidding, and budgets. Get prioritized recommendations with supporting evidence and clearly marked gaps, while keeping campaign changes outside the audit.

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• Check UET tracking and conversion settings
• Review campaigns imported from Google Ads
• Audit keywords, bidding, and budget allocation

Audit and operate connected X Ads accounts through NotFair MCP, a tool connection. Examine spending, conversions, targeting, budgets, bids, and ad content, and carry out campaign setup or approved changes.

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• Auditing an X Ads account
• Analyzing campaign spending and conversions
• Reviewing targeting, budgets, and bids

Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django/Hibernate/Rails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, distributed SQL database, serverless PostgreSQL-compatible database, migrate to DSQL, DSQL query plan, DSQL EXPLAIN ANALYZE, DSQL ENUM, DSQL foreign key, DSQL OCC retry, DSQL multi-region, DSQL JSONB, DSQL GIN index, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.

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Audit Apple Ads measurement, campaign structure, keywords, placements, bids, and budgets. Organize evidence, identify gaps and conflicting data, and produce prioritized recommendations while keeping proposed account changes in draft form.

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• Review Apple Ads campaign and keyword structure
• Investigate discrepancies in app-install measurement
• Prioritize bid, budget, and product-page improvements

Review TikTok Ads measurement, mobile video creative, audiences, commerce campaigns, bidding, and budgets. Receive prioritized recommendations with supporting evidence, missing information, and uncertainty clearly identified, while keeping the review read-only.

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• Checking TikTok Pixel and conversion measurement
• Reviewing mobile video creative and audiences
• Auditing Smart+ and TikTok Shop Ads

Search Threads by keyword or hashtag and collect matching posts with text, authors, timestamps, and engagement counts. Choose relevant or popular results, or newest posts first, using public search results available without logging in.

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• Find posts discussing a specific topic
• Collect posts with a chosen hashtag
• Review engagement on matching posts

Move GitHub labels and Project V2 field values into organization-wide issue fields, structured properties shared across repositories. Review mappings and conflicts before migration, preserve existing values, and optionally remove migrated labels.

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• Convert priority labels into a shared Priority field
• Copy project priorities and due dates into issue fields
• Preview migration changes without updating issues

Collect public posts from a Threads profile by username, including text, dates, engagement counts, and media information. Load additional posts by scrolling to build a collection of the account’s available content.

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• Collect a creator’s public Threads posts
• Compare likes and replies across posts
• Review an account’s recent activity

Audit and analyze connected TikTok Ads accounts through NotFair MCP, a connection for agent access. Review spending, conversions, targeting, creative, budgets, and bids, and handle campaign setup or approved changes, including work involving Spark Ads.

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• Analyzing campaign and ad-group spending and conversions
• Reviewing targeting, budgets, and bids
• Preparing short-form video ad and creator briefs

Review Amazon Ads campaigns, targeting, search terms, product readiness, budgets, and advertising cost ratios. Get prioritized recommendations tied to supporting evidence, with missing data and uncertainty clearly identified.

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• Reviewing Amazon Ads campaign structure
• Checking search terms and targeting
• Reviewing advertising cost ratios and budgets

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.

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

Manage Google Ads performance, keywords, bids, budgets, campaigns, and ads. Review search terms and location settings, handle bulk operations and experiments, and check how changes affect results, including acquisition costs and returns on ad spend.

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• Review ad performance and spending
• Manage keywords and negative keywords
• Adjust bids, budgets, and location targeting

将代码修改和多步骤开发任务交给OpenHands CLI，选择LiteLLM支持的模型，无需交互界面即可单次或批量运行任务、查看进度并恢复历史会话。

• 将代码修改交给OpenHands
• 使用LiteLLM支持的模型开发
• 查看长时间开发任务的进度

Read Threads inboxes and conversations, summarize messages relevant to a question, and send explicitly approved messages through threads-messages-cli. You can also check message requests, reply to specific messages, and share existing published Threads posts.

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• Review recent conversations in your Threads inbox
• Summarize a specific conversation
• Check incoming message requests

Organize MRI, EEG, and other biomedical research data using BIDS, a shared standard for filenames, folders, and metadata. Query datasets, check compliance, convert DICOM files, and prepare metadata or processed outputs for analysis and sharing.

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• Organize MRI and EEG files using BIDS conventions
• Find files by participant, session, or task
• Convert DICOM data and prepare metadata

Review daily Google Ads and Meta Ads results for budget pacing, declining performance, and unusual activity. Get prioritized findings with supporting numbers and concrete recommendations for a marketing team to assess and carry out.

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• Checking whether campaign budgets are being spent on schedule
• Investigating rising acquisition costs or falling ad returns
• Finding ads and keywords that spend without converting

Create and edit spreadsheets for budgets and editable tables, including targeted cell updates and added records. Save in ODS by default, or use XLSX when Excel compatibility or supported embedded charts are needed.

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• Creating a budget spreadsheet
• Turning CSV or Markdown tables into spreadsheet cells
• Updating cells or adding records to an existing workbook

Optimize and troubleshoot MNN's Hexagon DSP backend, which runs computation on a dedicated processor. The workflow uses device measurements to identify bottlenecks, compare v79 and v81 architectures, verify correctness, and investigate crashes or memory usage.

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• Finding bottlenecks in Hexagon operators
• Checking changes on v79 and v81 devices
• Investigating cDSP crashes and device disconnects

Audit Google Ads conversion measurement, search terms, keywords, creative assets, bidding, budgets, and settings. Use account evidence to identify wasted spend and prioritize improvements across Search, Shopping, Performance Max, and Demand Gen without changing campaigns.

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• Checking conversion tracking and account settings
• Finding wasted spend in search terms reports
• Reviewing negative keywords against business relevance