Results for “spend”

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.

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組織を中断し、broker daemon まで含めて完全に停止する。 「完全に止める」「daemon ごと落とす」「org down して」「全部終了」と言われたときに使う。 suspend（状態保存 + ja 管理プロセス / ペイン停止）を完走してから `claude-org-runtime org down` を呼ぶ統合終了。単に「中断」「今日は終わり」なら daemon を残す /org-suspend を使う。

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Review safeguards for AI agents authorized to sign or send transactions. Cover malicious instructions hidden in external data, spending caps, pre-send simulation, automatic stop conditions, protected transaction routing, and private-key handling through layered security checks.

• Audit a trading bot with transaction authority
• Set per-transaction and daily spending limits
• Design pre-send checks and automatic stops

Design an LLM API workflow that controls spending through task-based model selection, budget tracking, selective retries, and caching repeated prompts. Use the examples to route simpler tasks to cheaper models and track cumulative costs.

• Reviewing costs in an LLM API application
• Choosing models by batch task complexity
• Tracking cumulative spending against a budget

Integrate x402, an HTTP payment protocol, so agents can pay for APIs or services. Configure task and session budgets, approved recipients, and wallets with privately managed keys, using integration paths for Base, X Layer, or Solana.

• Enable an agent to pay for a paid API
• Set task and session spending limits
• Restrict payment recipients, networks, and assets

Review Caveman Cloud spending, latency, errors, and potential improvements using current reports and traces, or individual execution records. Produce findings tied to time windows and trace IDs, while keeping measured costs, estimated opportunities, and verified savings separate.

• Understanding which workflows drive LLM spending
• Investigating slow responses and errors
• Reviewing measured costs and verified savings separately

Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.

• Reviewing weekly agent spending and completed work
• Comparing costs per completed outcome
• Investigating the cost of loops and rework

Manage OmniRoute API keys by creating, listing, rotating, and revoking them. Set access permissions, allowed models, spending limits, and expiration dates for each key to control access to proxy and management endpoints.

• Create API keys with limited permissions
• Rotate or revoke existing keys
• Set spending limits and expiration dates

Inspect AI costs, token usage—the units used to measure model input and output—and call logs from the OmniRoute command line. Filter records, review spending by connection, and export usage reports for further review.

• Review AI spending for a selected period
• Compare usage by provider or model
• Search and monitor API call logs

Set spending limits, token quotas, and rate limits, which restrict requests over time. Review current consumption and apply controls per API key or globally to manage AI costs across providers.

• Set spending limits for AI usage
• Assign token quotas per API key
• Review and update global rate limits

Compare recorded agent spending with a project budget and receive alerts at four usage thresholds. Review remaining funds and recommended actions, or use the check to block agent launches when the budget is exhausted.

• Check budget usage after recording costs
• Review remaining funds before launching agents
• Monitor spending at regular intervals

Generate a spending report from recorded AI usage, with token counts and USD costs grouped by model, agent, and processing tier. Check budget utilization, remaining funds, and alerts for a selected period.

• Reviewing today's AI spending
• Comparing costs across models and agents
• Checking budget utilization and alerts

Check actual OpenRouter charges, API key limits, daily, weekly, and monthly spending, and account credits. Look up a single request by generation ID and report the billed model and provider returned by OpenRouter.

• Check daily, weekly, and monthly OpenRouter spending
• See whether an API key is nearing its limit
• Look up a request's billed cost by generation ID

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.

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

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.

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

Retrieve U.S. federal financial data from the Treasury’s public API, including debt, revenue, spending, interest rates, and exchange rates. Filter dates and fields, retrieve multiple pages, and organize results into tables for analysis.

• Tracking U.S. national debt over time
• Comparing monthly federal revenue and spending
• Retrieving Treasury reporting exchange rates

Review AWS spending and identify savings through resource sizing, unused resource cleanup, discount commitments, and storage policies. It also guides budget alerts and recurring cost reviews so teams can track spending and plan changes using usage data.

• Investigating an unexpected AWS bill increase
• Preparing cost reviews with engineering and finance
• Comparing Savings Plans and Reserved Instances

Retrieves bank balances and transaction history through Plaid, a bank account connection service. It reports dates, merchants, and amounts, distinguishes pending from posted transactions, and summarizes spending by category or merchant on request.

• Checking balances across bank accounts
• Reviewing transaction dates, merchants, and amounts
• Summarizing spending by category or merchant

Audit GitHub Codespaces startup time and spending, then identify up to three evidence-based improvements to development containers, machine sizes, prebuilds, or idle timeouts, with validation results and expected impact.

• Investigating slow Codespaces startup
• Reviewing Codespaces spending
• Trimming unused development container components

Reviews Google Cloud spending and resource usage to identify waste, recommend suitable resource sizes, compare discount options, and establish ongoing cost management using the cost optimization guidance in the Google Cloud Well-Architected Framework.

• Reviewing Google Cloud spending by team or project
• Finding idle resources and oversized instances
• Comparing CUDs, SUDs, and Spot VMs

Audits recurring SaaS charges against a subscription register using Plaid data. Reports duplicate tools, unused seats, price increases, upcoming renewals, and unlisted charges in a Slack digest, with suggested actions and a ledger tracking previous findings.

• Review weekly SaaS spending against the subscription register
• Find overlapping tools and potentially unused seats
• Check price increases and approaching renewals

Identify which Convex functions drive spending by combining data read per call with call volume. Use deployment evidence or query structure to explain how costs grow with usage and data size, then suggest the cheapest fix for each driver.

• Find functions that drive Convex spending
• Assess cost growth as data and traffic increase
• Estimate future cost drivers before traffic arrives

Design and build demos where agents pay for HTTP resources within approved budgets and expiry dates. Combines x402 request payments with delegated wallet permissions, covering payment checks, spending records, revocation, and dispute evidence.

• Build a paid API demo with an agent spending cap
• Design recurring payments with scoped wallet permissions
• Record signed receipts for payment disputes

Audit Reddit Ads data to assess community targeting, creative fit, and bidding efficiency. Get prioritized fixes, suggested communities to add or exclude, and feedback on whether ad copy suits the communities it reaches.

• Review Reddit advertising spend and campaign performance
• Find relevant subreddit communities to target
• Revise ad copy that feels too promotional