1万 件 ・ 関連度順
概要と使いどころ
Use when working with Bmc Helix — bMC Helix ITSM platform management covering incident management, problem management, change management, and CMDB operations. Use when creating or updating incidents with categorization and assignment, managing problem investigation workflows, processing change requests through CAB approval, or querying CMDB for infrastructure configuration items and relationships.
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 working with Checkmk — checkmk infrastructure and application monitoring platform for hosts, services, network devices, and cloud resources. Covers host/service status, event console, rule management, agent deployment, and WATO configuration. Use when checking Checkmk monitoring status, investigating service problems, managing host configurations, or reviewing monitoring rules.
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 working with Azure Management Groups — azure Management Groups hierarchy and governance management. Covers management group tree structure, subscription placement, policy assignments, RBAC inheritance, compliance status, and governance auditing. Use when managing Azure tenant hierarchy, assigning policies to management groups, reviewing subscription organization, or auditing inherited access controls.
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 working with Aws Organizations Deep — aWS Organizations deep management. Covers organizational unit hierarchy, account management, service control policies (SCPs), tag policies, backup policies, delegated administrators, and organizational service integrations. Use when managing multi-account AWS environments, reviewing SCPs, auditing OU structures, or analyzing organizational policies.
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 working with Baserow — baserow open-source database platform management covering workspace organization, database and table inventory, field configuration analysis, view management, webhook monitoring, and user access auditing. Use when reviewing database structures, investigating API integration issues, monitoring webhook deliveries, or auditing workspace permissions.
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 working with Apigee — apigee API platform management - API proxy deployment, environment configuration, analytics and traffic analysis, developer and app management. Use when managing Apigee-based API infrastructure, deploying proxies, analyzing API traffic patterns, or managing developer portal resources.
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 working with Aws Cdk Deep — aWS CDK application and stack management. Covers stack synthesis, CloudFormation template inspection, diff analysis, deployment orchestration, context values, asset management, and construct library usage. Use when managing CDK apps, debugging synthesis errors, reviewing stack diffs, or analyzing deployed CloudFormation resources.
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 working with Algolia Deep — advanced Algolia search platform management including indices, search analytics, A/B tests, query rules, synonyms, API key audit, and infrastructure monitoring. Covers search performance metrics, relevance tuning, click-through analysis, indexing health, and usage quota tracking.
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 working with 100Ms — 100ms live video and audio infrastructure management for video conferencing, live streaming, and interactive sessions. Use when monitoring active rooms, analyzing session quality, reviewing usage metrics, managing room templates, or troubleshooting 100ms video/audio sessions.
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 working with Aws Organizations — aWS Organizations account management, OU structure analysis, SCP policy review, and service access control. Covers organizational hierarchy, account inventory, policy inheritance analysis, delegated administrator status, and service control boundary assessment.
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 working with Aws Cost Optimization — aWS native cost optimization using Compute Optimizer, Trusted Advisor cost checks, Savings Plan analysis, Cost Explorer, and resource rightsizing. Covers EC2 rightsizing, idle resource detection, Savings Plan and Reserved Instance recommendations, and cost anomaly detection. Use when optimizing AWS infrastructure costs with native AWS 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。
Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.
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。
Structured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1 format: one clear problem statement, three distinct options with pros/cons, and one concrete recommendation with definition of done and implementation plan. Use when the user asks for a "1-3-1", says "give me options", or needs help choosing between competing approaches.
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 in-repo SKILL.md files: frontmatter and structure.
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。
{"tool": "web_search", "params": {"query": "Continuous Learning Loop: Fehler-Capture +
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。
A collection of methods in an intelligent software structure allows the user to focus on fine-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。
Both user [{"tool": "web_search", "params": {"query": "
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。
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models Isabel Papadimitriou and Dan Jurafsky 2020 Empirical Me
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。
B @ 3/4 bits models [2024-10-18] Open source community contributes Mistral Large Instruct 2407 (12
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。
August 16, 2026 12 min read Nvidia AI Infrastructure GPUs FinOps Wall Street Nvidia $500B AI Compu
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。
1. **Deconstruct the User's Query**: * Core subject 1: Energy efficiency (in computing/AI).
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。
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
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 optimize AI agent action spaces, tool definitions, and observation formatting for higher completion 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。
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer 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。