「scaling」の検索結果

Use before loading, placing, scaling, or animating GLB models in PlayCanvas to measure bounds, grounding, clips, joints, and hierarchy with the bundled offline inspector.

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。

Serverless PostgreSQL with branching, autoscaling, and edge-compatible driver

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。

Gaia Skill Tree image-generation and deterministic export harness for Ascension Overdrive v3. Use when generating, iterating, refining, cropping, color-grading, making transparent cutouts, compressing, upscaling, or validating production image assets. Always use image gen 2 / gpt-image-2 and never nano-banana.

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。

Use when a task needs the judgment of a dental hygienist — full-mouth periodontal charting and staging, sequencing scaling and root planing across quadrants, deciding whether a finding needs escalation back to the dentist, or building a home-care compliance plan for a patient with active periodontal disease.

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。

Use when a task needs the judgment of a Cooling/Freezing Equipment Operator — calculating freezing time for a new product thickness via the thickness-squared relationship rather than assuming linear scaling, verifying freezing completion by actual core/thermal-center temperature rather than surface temperature or elapsed time, recognizing a temperature plateau as expected latent-heat removal rather than a malfunction, or matching belt speed/residence time to the calculated freezing time requirement.

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。

Use when a task needs the judgment of a Clinical Nurse Specialist — diagnosing why a unit-level outcome metric (CLABSI, falls, pressure injury) is off benchmark, designing and scaling a practice-change pilot, appraising whether a new clinical guideline actually fits the local population, writing a quarterly outcomes report to nursing leadership, or coaching staff nurses through a new protocol without formal authority over them. US hospital/health-system default; state nurse practice acts vary. A reasoning aid, not clinical or legal advice.

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。

Use when a task needs the judgment of a cement mason / concrete finisher — timing float and trowel work against bleed water and set, laying out and cutting control joints on a slab, choosing air-entrainment and mix parameters for freeze-thaw exposure, adjusting a finishing schedule for hot- or cold-weather concreting, or diagnosing a slab defect (blistering, scaling, random cracking) after the fact.

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。

Use when a task needs the judgment of a Baker — scaling a formula using baker's percentages to hit an exact batch weight, diagnosing whether a fermentation problem traces to dough temperature or mixing development, judging proof readiness from a poke test rather than a fixed clock, or tracing a poor-oven-spring result back to over- or under-proofing instead of the oven.

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 game level design systems and procedural generation -- BSP room subdivision, Wave Function Collapse tile placement, cellular automata cave generation, Perlin noise terrain, chunk stitching, seed determinism, difficulty scaling curves, pacing rhythm (tension/rest analysis).

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。

Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs.

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。

Diagnoses and resolves Google Cloud Filestore client mount failures, permission errors (EACCES), and network timeouts (ETIMEDOUT). Use when an NFS mount hangs or fails from a Compute Engine VM, GKE pod, Cloud Run service, or Vertex AI workload, when `mount.nfs` reports "Connection timed out" or "access denied by server", when checking whether VPC ingress firewall rules or `nfsExportOptions` allow a client IP, or when a previously working Filestore share suddenly stops mounting after an administrative change. Don't use for Cloud Storage (GCS) buckets, Persistent Disk, or Cloud NetApp Volumes, and don't use for Filestore capacity scaling or backup and export-policy auditing.

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。

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).

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。

Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA queries, retrieving telemetry for diagnosing single-job performance bottlenecks, investigating slot contention, job concurrency and queue latency, analyzing reservation capacity, utilization and autoscaling saturation, or auditing capacity-based and on-demand compute and storage resource billable usage. Don't use for root-cause diagnosis or symptom troubleshooting when the cause is unknown (use bigquery-troubleshooting first), or for writing or optimizing business logic SQL (use bigquery-optimization).

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。

Detects fixed font sizes, fixed-height text containers, and Dynamic Type suppression patterns that prevent text from scaling with the user's preferred reading size, violating Apple's HIG Typography guidelines.

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。

Configure and operate the Claude Code harness for large codebases. Builds CLAUDE.md hierarchies, scoped test/lint commands, file exclusions, codebase maps, hooks, skills, subagent strategies, and LSP/MCP wiring. Use when setting up Claude Code for a new repo, auditing an existing configuration, onboarding a team, or scaling from single-developer to org-wide deployment. Triggers on "set up Claude Code for this repo", "optimize my Claude Code config", "audit my CLAUDE.md", "make this codebase navigable", "configure hooks/skills/plugins".

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。

Application performance specialist for profiling, optimization, and scaling strategies

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。

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

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。

Tune moflo's memory stack for speed, RAM, and index quality. Covers HNSW parameters (M, efConstruction, ef), vector quantization, batch operations, and common bottlenecks. Use when scaling past ~100k entries or when search latency regresses.

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。

AI pastry chef — sourdough, lamination (croissant), cake decoration, recipe scaling, food cost, HACCP, Thai climate baking

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。

Design and operate CI/CD pipelines: fast feedback, deployment strategies, environments, and pipeline reliability. Use when building, fixing, or scaling build and deploy pipelines.

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。

Use OpenAI models on Azure — enterprise deployment with private networking, compliance, and managed scaling.

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。

Deploy ML models to production with Baseten — high-performance inference with autoscaling and custom runtimes.

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。

Capacity planning — forecasting demand, sizing infrastructure, and avoiding both outages and waste — use when scaling systems.

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。

Architect autonomous agent systems — perception/action loops, tool design, planning strategies, memory, and multi-agent orchestration patterns. Use when designing an agent from scratch or scaling a prototype to production.

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。