「cost」の検索結果

JLCPCB PCB fabrication and assembly — BOM/CPL generation, basic vs extended parts, assembly constraints, design rules, ordering workflow. Use with KiCad for JLCPCB manufacturing. Use this skill when the user mentions JLCPCB, wants to order PCBs or assembled boards, needs prototype bare PCBs and stencils, wants to know JLCPCB design rules and capabilities, or is asking about PCB manufacturing costs or turnaround times. For gerber/CPL export, stencil ordering, and BOM management, see the `bom` skill.

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Manage an electronics bill of materials across distributors and fabricators: part selection, stock, pricing, alternates, ordering, KiCad properties, and BOM/CPL export. Use for distributor-neutral sourcing, cost comparison, order preparation, or requests such as "what parts do I need" and "export for JLCPCB". Do not take over schematic analysis or a complete new-design workflow unless the requested task is specifically its sourcing/manufacturing stage.

日本語の概要は準備中です。原文の説明を表示しています。

Google Cloud guidance — core services, IAM, VPC networking, GKE/Cloud Run choices, BigQuery, and cost control.

日本語の概要は準備中です。原文の説明を表示しています。

High-throughput inference on FriendliAI — optimized serving engine for low-latency, cost-efficient LLMs.

日本語の概要は準備中です。原文の説明を表示しています。

Build with DeepSeek's models — efficient open-weight reasoning models and low-cost API inference.

日本語の概要は準備中です。原文の説明を表示しています。

Distill large models into smaller ones — teacher-student training, data generation, loss design, and quality validation. Use when you need big-model behavior at small-model cost.

日本語の概要は準備中です。原文の説明を表示しています。

Manage LLM context windows deliberately — budgeting, prioritization, summarization, and retrieval instead of dumping everything in. Use when prompts grow long, costs rise, or the model loses track of key details.

日本語の概要は準備中です。原文の説明を表示しています。

Datadog guidance — APM, logs, metrics, monitors, SLOs, dashboards, and cost control on the Datadog platform.

日本語の概要は準備中です。原文の説明を表示しています。

Understanding and optimizing cloud/PaaS pricing — cost models, common traps, and FinOps habits — vendor-neutral.

日本語の概要は準備中です。原文の説明を表示しています。

Building defensible grant budgets — personnel, equipment, indirect costs, and justifications reviewers believe.

日本語の概要は準備中です。原文の説明を表示しています。

Azure guidance — subscriptions and RBAC, networking, AKS/App Service choices, Entra ID, and cost management.

日本語の概要は準備中です。原文の説明を表示しています。

AWS guidance — core services, IAM least privilege, networking, cost control, and production architecture patterns.

日本語の概要は準備中です。原文の説明を表示しています。

Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluate AI agents rigorously — task benchmarks, success criteria, failure taxonomy, cost/latency tracking, and regression testing. Use when you need to know whether an agent actually works, not whether it demos well.

日本語の概要は準備中です。原文の説明を表示しています。

Generate Terraform infrastructure-as-code for AWS, GCP, or Azure. Creates modular VPC, compute, database, cache, CDN, and monitoring configs with per-environment sizing, remote state, cost estimates, and security best practices..

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Analyze franchise and multi-location unit economics including per-location P&L construction, four-wall EBITDA margins, prime cost optimization, contribution margin analysis, break-even modeling, and store-level ROI calculations.

日本語の概要は準備中です。原文の説明を表示しています。

Audits and implements mandatory image resizing and compression for all uploaded user images to reduce storage costs while preserving visual quality.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze program impact measurement software for logic model completeness, indicator tracking rigor, data collection methodology, causal attribution modeling, cost-effectiveness analysis, beneficiary feedback integration, and funder reporting accuracy..

日本語の概要は準備中です。原文の説明を表示しています。

Audit a manufacturing energy management system for monitoring quality, cost optimization, and compliance. Triggers: building or reviewing industrial energy platforms, building management systems, or sustainability reporting tools.

日本語の概要は準備中です。原文の説明を表示しています。

Audit commercial building energy performance including HVAC optimization, ENERGY STAR scoring, utility cost analysis, demand response readiness, and sustainability compliance.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze fleet fuel optimization systems including MPG consumption analytics, eco-driving behavior scoring, route fuel cost modeling, idling detection and anti-idle programs, IFTA tax compliance reporting, alternative fuel transition planning, EV charging infrastructure readiness, and EPA SmartWay partnership metrics for commercial vehicle fleets.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze fleet maintenance programs for preventive maintenance scheduling effectiveness, parts inventory forecasting, vehicle downtime minimization, total cost of ownership modeling, and telematics integration.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze university and research institution funding allocation systems including RCM revenue attribution, performance-based budgeting, faculty startup package management, F&A indirect cost recovery distribution, equipment sharing and core facility recharge rates.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze grant management and sponsored research operations including proposal lifecycle tracking, pre-award routing and budget development, post-award expenditure monitoring and burn rate analysis, 2 CFR 200 Uniform Guidance cost allowability enforcement.

日本語の概要は準備中です。原文の説明を表示しています。