624 件 ・ 関連度順
概要と使いどころ
Use when adding or reviewing Progressive Web App capabilities such as installability, manifest metadata, Service Worker registration, Workbox caching, offline fallback, app update prompts, maskable icons, or iOS PWA compatibility. Do not use for general API caching or non-installable performance tuning; Chinese triggers include PWA, offline, Service Worker.
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 Dredge Operator — selecting cutterhead, hopper, or mechanical dredge type for a given sediment/depth/environmental profile, classifying dredged material for open-water vs. confined disposal from sediment-testing results, tuning hydraulic slurry density against pipeline critical velocity, verifying channel controlling depth against project depth and overdepth tolerance, or setting turbidity-monitoring response during active dredging.
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。
Create and manage Volcengine cloud resources using the Volcengine CLI (`ve` command). Supports all Volcengine services including ECS, VPC, CLB, RDS, Redis, and more. Trigger this skill whenever the user asks to create, query, modify, or delete cloud resources on Volcengine, mentions the `ve` command, says "volcengine CLI", or describes infrastructure tasks such as "create an ECS instance", "set up a VPC", "list security groups", "allocate an EIP". Also trigger on Chinese prompts mentioning "火山引擎" or "火山" (e.g., "火山引擎上有哪些 ECS"、"查一下我火山的云服务器"、 "火山引擎创建一个 VPC"、"火山的 Redis 实例列一下"). Also trigger when the user encounters errors from `ve` commands and needs troubleshooting help. Also use for TOS bucket/object operations, tosutil (sometimes written tosutils), Ark CLI / arkcli model discovery, inference, generation, endpoints, fine-tuning, plans, or usage, and TLS (日志服务) / volclog log search, analysis, ingest, export, or LogCollector collection, through `ve tosutil`, `ve arkcli` and `ve volclog`.
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。
Fine-tune large language models — data curation, SFT, parameter-efficient methods (LoRA), evaluation, and avoiding common training failures. Use when a base model needs task-specific behavior or domain knowledge.
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。
Fast serverless inference on Fireworks AI — open models, fine-tuning, and function-calling optimized endpoints.
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 and operate endpoint detection and response — policy tuning, behavioral detections, threat hunting, and response actions.
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。
Elasticsearch guidance — index design, mappings, query DSL, aggregations, cluster operations, and performance tuning.
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。
Cloudflare guidance — DNS, CDN caching, WAF, Workers, Pages, Zero Trust, and edge performance tuning.
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。
ClickHouse columnar analytics — schema design, MergeTree tuning, and fast queries — use for OLAP and high-volume event data.
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。
Split documents for retrieval effectively — fixed, semantic, structural, and hierarchical chunking with overlap tuning. Use when RAG retrieval quality depends on how documents are divided.
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 cybersecurity threat intelligence, triage security alerts, classify IOCs, map attacks to MITRE ATT&CK kill chain, reduce false positives, and attribute threat actors. Covers SIEM tuning, threat feed quality, detection coverage gaps, Diamond Model analysis, and strategic threat assessments for SOC and incident response teams.
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 game code for performance bottlenecks including draw call batching and overdraw, shader complexity and LOD strategy, per-frame GC allocation pressure, object pooling gaps, physics timestep and collision matrix tuning, spatial partitioning for entity queries.
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 pharmaceutical batch production records for yield optimization, process parameter tuning, deviation trending, and cycle time reduction under cGMP compliance. Triggers: phrases: "optimize batch yield", "analyze batch records", "pharma manufacturing 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。
Author, validate, test, and deploy YARA-L 2.0 detection rules and evaluate end-to-end detection coverage gaps in Google SecOps. Use when writing new detection rules, tuning existing rules, validating syntax, testing logic against historical telemetry, or evaluating detection coverage against threat intelligence blogs, CVE disclosures, and Threat Detection Opportunities (TDOs) using synthetic UDM events and long-running coverage analysis. Don't use for alert triage (use secops-triage), deep forensic event reconstruction on infected hosts (use secops-investigate), or case management operations (use secops-cases).
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。
Expert guidance for deep security incident and entity investigations in Google SecOps. Use when investigating cases, analyzing entities (hosts, IPs, domains, hashes, users), extracting and searching UDM events, performing asset and user timeline analysis, and detecting lateral movement across enterprise networks. Don't use for detection rule authoring or YARA-L tuning (use secops-detection-engineering), proactive hypothesis-driven hunting (use secops-hunt), initial alert triage (use secops-triage), or basic case status updates (use secops-cases).
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。
Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those.
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。
Scheduled Paths in record-triggered Flow: delayed execution, time-offset from field, batch size tuning, monitoring Paused Flow Interviews, async limits. NOT for picking between Scheduled Path, Wait and Scheduled Flow, or migrating time-based workflow rules — use flow/flow-time-based-patterns. NOT for a flow that runs on a recurring schedule — use flow/scheduled-flows.
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 related lists on Salesforce records — column choice on Page Layouts (max 10 fields per related list), sort field selection, the Spring '24 Enhanced Related Lists component (which adds filtering, mass actions, and 10-row inline display), the choice between Related Lists / Related Lists - Single / Related List - Quick Links in Lightning App Builder, per-record-type related-list assignments, and the View All / pagination UX. NOT for FSL WorkOrderMilestone-on-Work-Order layout (use admin/fsl-sla-configuration-requirements), NOT for the Lightning page performance Related List - Single vs Full tradeoff in isolation (use admin/lightning-page-performance-tuning), NOT for Industries Timeline-as-related-list (use admin/health-cloud-timeline), NOT for offline-priming related-list caps (use admin/fsl-mobile-app-setup).
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 building a Lightning record page in App Builder or when the page users see is not the one you assigned. Trigger keywords: configure lightning record page, lightning app builder, flexipage, record page assignment, org default vs app default, activate lightning page. NOT for page speed - use admin/lightning-page-performance-tuning. NOT for page layout to Dynamic Forms migration - use admin/dynamic-forms-migration. NOT for related list columns - use admin/related-list-configuration.
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 this skill to design, configure, and troubleshoot the Field Service Lightning (FSL) Optimizer — including selecting optimization type (Global, In-Day, Resource Schedule), understanding the priority-score model, configuring travel mode (Aerial vs Street-Level Routing), and tuning optimizer behavior for specific scheduling objectives. NOT for work rules and service-objective weights on a scheduling policy — use admin/fsl-scheduling-policies. NOT for ESO adoption and territory sizing — use architect/fsl-optimization-architecture.
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 platform-level global search in a Salesforce org — per-object Search Layouts (Search Results, Lookup Dialogs, Lookup Phone Dialogs, Tab columns), the Setup → Search Settings page (Sidebar Search, Lookup Auto-Completion, Drop-Down List size), and Synonym Groups (Setup → User Interface → Synonyms). NOT for Einstein Search personalization signals or Natural Language Search (use agentforce/einstein-search-personalization), NOT for Experience Cloud site Search Manager (use lwc/experience-cloud-search-customization), NOT for SOSL query authoring (use data/sosl-search-patterns), NOT for Commerce storefront search tuning.
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 this skill to create, configure, or tune Field Service Lightning scheduling policies — including work rules (pass/fail filters) and service objectives (weighted ranking criteria). Covers the four default policies, custom policy design, work rule type selection, and objective weighting strategy. NOT for running or tuning the Optimizer itself — use admin/fsl-scheduling-optimization-design. NOT for resource skills and preferences — use admin/fsl-resource-management. NOT for resource capacity records — use admin/fsl-capacity-planning.
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 this skill when editing CRM Analytics dashboard JSON directly to implement advanced bindings, custom SAQL/SOQL step queries, layout changes, step parameters, or cross-widget interactions. Trigger keywords: dashboard JSON, SAQL step, binding syntax, mustache binding, dashboard REST API, widget layout, step limit, datasetId, datasetVersionId. NOT for building the dashboard in the builder UI or picking chart types — use admin/analytics-dashboard-design. NOT for writing or tuning the SAQL itself — use admin/saql-query-development.
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 this skill when designing or building CRM Analytics Data Prep recipes — including node selection, join patterns, bucket field configuration, formula expressions, and scheduling. Triggers: 'build a recipe', 'join datasets in analytics', 'bucket a measure field', 'schedule a recipe', 'data prep transformation'. NOT for dataflow JSON and its node types — use admin/analytics-dataflow-development. NOT for tuning a slow or oversized dataset — use data/analytics-dataset-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。