1,112 件 ・ 関連度順
概要と使いどころ
Use when working with Cast Ai — cAST AI Kubernetes cluster optimization and cost management. Covers cluster cost optimization, spot instance management, cost reports, node rebalancing, security posture, and workload right-sizing. Use when optimizing Kubernetes cluster costs, managing node lifecycle, or analyzing cloud spend with CAST 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。
Use when working with Cloudflare R2 — cloudflare R2 object storage management via the wrangler CLI and Cloudflare API. Covers buckets, objects, usage metrics, CORS policies, and lifecycle rules. Use when managing R2 storage or reviewing bucket configurations.
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 Blameless — blameless incident management, SLO tracking, retrospectives, and reliability insights. Covers incident lifecycle, blameless retrospective facilitation, follow-up tracking, reliability scorecards, and incident type categorization. Use when managing active incidents, conducting retrospectives, tracking SLO compliance, or analyzing reliability trends in Blameless.
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 Cloudformation — aWS CloudFormation stack management. Covers stack lifecycle, change sets, drift detection, template validation, nested stacks, stack sets, and event troubleshooting. Use when managing CloudFormation stacks, investigating deployment failures, detecting drift, or validating templates.
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 Entra — azure Entra ID (formerly Azure AD) management for user lifecycle, app registrations, service principals, conditional access policies, sign-in log analysis, and directory role assignments. Covers B2B guest users, enterprise applications, and security configuration review. Read this skill before any Entra ID operations — it enforces discovery-first patterns and strict read-only safety 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 Backblaze B2 — backblaze B2 cloud storage management via the b2 CLI. Covers buckets, files, lifecycle rules, keys, and usage statistics. Use when managing B2 storage or reviewing bucket configurations and costs.
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 Efs — aWS EFS file system management and performance analysis. Covers file system inventory, mount targets, access points, throughput modes, lifecycle policies, replication configurations, and storage metrics. Use when inspecting EFS file systems, debugging mount issues, reviewing performance settings, or optimizing storage costs.
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 Betteruptime — better Uptime monitoring, status pages, incident management, on-call scheduling, and heartbeat tracking. Covers monitor configuration, response time analysis, incident lifecycle, on-call rotations, and SLA reporting. Use when managing uptime monitors, reviewing incident history, configuring on-call schedules, or analyzing response times in Better Uptime.
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 Atlassian Statuspage — atlassian Statuspage management, component monitoring, incident communication, scheduled maintenance, and subscriber notifications. Covers page configuration, component group management, incident lifecycle, metric tracking, and uptime reporting. Use when managing public or private status pages, communicating outages, scheduling maintenance, or reviewing component uptime in Atlassian Statuspage.
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 Cloudfront Deep — advanced AWS CloudFront management covering distribution lifecycle, behavior configuration, Lambda@Edge functions, origin groups for failover, real-time logs, field-level encryption, and cache policy optimization. Use for deep CloudFront troubleshooting, performance tuning, advanced origin configuration, or Lambda@Edge debugging.
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 Gcp Secret Manager — google Secret Manager secret lifecycle management, version control, rotation configuration, IAM policy auditing, and access diagnostics via gcloud CLI.
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 S3 — aWS S3 bucket analysis, storage class distribution, lifecycle policies, access patterns, and cost optimization. Covers bucket inventory, object metrics, versioning status, encryption audit, public access analysis, and intelligent tiering evaluation.
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 Gcp Cloud Storage — google Cloud Storage bucket analysis, lifecycle rule management, access control configuration, transfer service operations, and storage class optimization via gsutil and gcloud CLI.
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 Gcp Artifact Registry — google Artifact Registry repository management, vulnerability scanning analysis, cleanup policy configuration, and artifact lifecycle management via gcloud CLI.
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 Blob Storage — azure Blob Storage container analysis, access tier management, lifecycle policies, replication configuration, and storage account health via Azure CLI.
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 Secrets Manager — aWS Secrets Manager secret rotation status, access analysis, cost tracking, and lifecycle management. Covers secret inventory, rotation configuration audit, last access tracking, resource policy review, and version 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。
GitHub PR lifecycle: branch, commit, open, CI, merge.
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。
Vollständige Dokumentation des OpenAmer Plugin-API-Systems. Hooks, Events, Lifecycle, manifest.json Format, Config-Integration und Plugin-Manager.
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。
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
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。
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
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 en économie circulaire (réduction déchets, recyclage, cycle de vie, modèles business circulaires)
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 en versioning d'agents IA (git-based, rollback, canary deployments, changelog, migration)
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。
Initialize, update, and visualize codebase or personal knowledge wikis using LangChain OpenWiki. Enforces OKF v0.2, Grounded Claims, interactive visualizer graph, and MCP page-job lifecycle.
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。
Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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。