'cost' 검색 결과

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify underused AWS resources
• Estimate monthly savings from configuration changes
• Prioritize cost reductions by risk and implementation effort

Compare direct and partner-led sales using full service costs and three views of return on investment. Produce channel verdicts and a recommended sales mix, testing how changes in acquisition costs or partner discounts affect the result.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing direct and partner sales profitability each quarter
• Assessing the cost of hiring a channel manager
• Explaining returns on partner marketing funds to the board

Analyze Axiom data ingestion and query usage to identify unused columns and field values. Build cost dashboards and spike monitors, then summarize recommendations for dropping or sampling data with estimated savings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find unused data that contributes to Axiom costs
• Track ingestion trends and projected spending
• Set up alerts for ingestion and query cost spikes

Add a model pricing field throughout Bifrost, from datasheet parsing and database storage to cost calculations, overrides, documentation, and UI controls. Verify calculation and repeat-sync behavior with tests, then check the repository for missed integration points.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a new model pricing field
• Implementing surcharges or conditional pricing rates
• Exposing pricing overrides in the UI and documentation

Prepare benefits and costs tables for a project before a cost-benefit analysis. Each item includes importance, sponsor cash flow, a measurement approach, and a monetary valuation method, using one of five supported appraisal frameworks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Listing benefits and costs before project appraisal
• Organizing social benefits beyond cash flows
• Checking for double counting and sunk costs

Compare estimated AI model costs for a task using its complexity and expected text volume. Get a suitable low-cost recommendation, a cheaper but riskier alternative, and a premium option, with explicit assumptions behind the estimates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a model for a bulk code refactor
• Comparing model costs for a security review
• Estimating costs for long-document analysis

Estimate remaining workflow costs from the average spend of completed steps. Show actual spending and projected totals in the status line, warn about configured budget overruns, and suggest a budget profile when estimated costs are high.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Estimating remaining costs during a workflow
• Checking whether projected spending exceeds a budget
• Displaying spending and estimates in the status line

Optimize Apollo.io costs and credit usage. Use when managing Apollo credits, reducing API costs, or optimizing subscription usage. Trigger with phrases like "apollo cost", "apollo credits", "apollo billing", "reduce apollo costs", "apollo usage".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AWS Cost Optimizer workflow skill. Use this skill when the user needs Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Real-time cost tracking, budget enforcement, and ROI measurement for AI agent operations. Track token usage, predict costs, enforce budget caps ($50-70/month typical), optimize model selection, cache results, measure cost-to-value. Use when tracking AI costs, preventing budget overruns, optimizing spend, measuring ROI, or ensuring cost-effective AI operations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when Agentforce run costs are climbing, you need to forecast scale, or you want to reduce tokens per conversation without hurting quality. Covers topic (now subagent) design impact on cost, prompt/template reuse, grounding size discipline, caching, and model-tier selection. Triggers: 'agentforce cost', 'tokens per conversation too high', 'reduce agentforce runs spend', 'forecast agentforce scale cost', 'einstein trust layer tokens'. NOT for capping spend per user with a budget gate and fallback — use agentforce/agent-rate-limit-strategy. NOT for org-wide model-tier and BYOLLM platform strategy — use architect/ai-platform-architecture.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Drafts a verified U.S. appellate Bill of Costs itemizing taxable costs under FRAP 39 or state analogs. Trigger when the user needs to prepare, file, or tax appellate costs after judgment, or references FRAP 39, bill of costs on appeal, or appellate cost taxation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Estimate the full development cost of an existing codebase from lines of code, architectural complexity, and team-composition overhead. Use for 'how much would this cost to build', 'what did this codebase cost', development-cost or build-cost estimates, calendar-time estimates, and Claude/AI ROI on a delivered codebase. Estimates by measured LOC and complexity, not by ticket volume.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Aws Billing — analyze, break down, and report AWS costs and bills. Covers cost breakdown by service, account, or usage type; monthly/daily billing trends; cost anomaly detection; RI/SP utilization; cost forecasting; credit/discount analysis; and multi-account cost comparison. Uses anti-hallucination rules, mandatory currency/credit detection workflow, and reusable Cost Explorer functions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

Analyze Azure infrastructure definitions, deployed resources, usage metrics, and pricing to identify cost reductions. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating EPIC issue after user approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding Azure resources with oversized service tiers
• Comparing storage and database cost reduction options
• Prioritizing savings by risk and implementation effort

Configure machine learning training and batch jobs across multiple clouds with SkyPilot. The skill guides GPU selection, lower-cost cloud and region choices, and automatic recovery when discounted spot instances are interrupted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a lower-cost cloud for GPU training
• Run long training jobs with recovery after interruptions
• Configure distributed training across multiple machines

Plan R&D budgets with direct and indirect costs, track spending and how long funds will last, and check whether milestones remain affordable. Prepare accounting review routes for development costs, with explicit assumptions and a named finance owner.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an R&D budget with an explicit indirect-cost split
• Check whether remaining funds cover the next milestone
• Prepare development costs for accounting review

Configure machine learning training and batch jobs across multiple clouds with SkyPilot. The skill guides GPU selection, lower-cost cloud and region choices, and automatic recovery when discounted spot instances are interrupted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a lower-cost cloud for GPU training
• Run long training jobs with recovery after interruptions
• Configure distributed training across multiple machines

View and update TRES Finance settings for an organization, blockchain or exchange, or individual wallet. Compare current and proposed values before approval, covering cost basis calculations, sync dates, and whether platform data collection is enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review the current cost basis method
• Enable or disable collection for a blockchain or exchange
• Change a wallet’s sync start date

Forecast Azure spend and price planned resources or workloads. WHEN: "forecast Azure spending", "project next month cost", "compare forecast to my planning target", "how much will Azure cost", "estimate VM cost", "compare storage tiers", "compare Azure regions", "retail price", "EA rate card", "negotiated pricesheet". DO NOT USE FOR: configured budget health or alerts, bill analysis, cost spikes, rightsizing, or commitments.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger with "apify cost", "apify billing", "reduce apify costs", "apify pricing", "apify expensive", "apify budget", "compute units".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. Use when analyzing Claude API billing, reducing costs, or implementing cost controls and budget alerts. Trigger with phrases like "anthropic cost", "claude billing", "reduce claude spend", "anthropic budget", "claude pricing optimize".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.