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概要と使いどころ
Use when working with Argo Workflows — argo Workflows management for Kubernetes-native workflow orchestration. Covers workflow templates, cron workflow scheduling, artifact management, workflow execution, parameter handling, and resource monitoring. Use when checking workflow status, investigating step failures, managing templates, or auditing cron workflows.
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 Appwrite — appwrite backend platform management covering project inventory, database collections, user authentication stats, storage bucket usage, function deployments, webhook configuration, and platform health. Use for comprehensive Appwrite project assessment and resource monitoring.
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 Alibaba Cloud — alibaba Cloud infrastructure management via the aliyun CLI. Covers ECS instances, RDS databases, VPCs, SLB load balancers, OSS storage, and billing. Use when managing Alibaba Cloud resources or checking infrastructure health.
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 Auth0 — auth0 identity platform management for tenant configuration, application setup, connection analysis, rule and action review, user management, and log inspection. Covers universal login, social connections, enterprise federation, and Auth0 Actions pipelines. Read this skill before any Auth0 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 Airbyte — airbyte data integration platform management. Covers connection status monitoring, sync job tracking, source and destination health, schema change detection, workspace management, and connector upgrades. Use when checking sync status, investigating job failures, managing Airbyte connections, or auditing data pipeline 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 Aws Codebuild — aWS CodeBuild project management and build analysis. Covers build project inventory, build history, build phase details, environment configurations, source credentials, report groups, and build metrics. Use when inspecting build projects, debugging build failures, reviewing build environments, or analyzing build performance.
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 Rightsizing — analyze EC2, RDS, EBS, and Lambda resource utilization to identify right-sizing opportunities. Uses CloudWatch metrics with anti-hallucination rules for burstable instances, memory metrics, peak vs average analysis, and estimated monthly savings 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。
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。
Use when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package 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。
Use when working with Aws Pricing — aWS pricing helper for cost queries. ALWAYS use get_aws_cost script for pricing questions. Use when: - User asks about AWS resource costs or pricing - User wants to compare pricing across regions - User needs spot, on-demand, or reserved pricing info Triggers: aws pricing, aws cost, how much does, ec2 price, rds cost, s3 pricing.
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 Cloudtrail — aWS CloudTrail event analysis, trail management, insight event investigation, and organization trail configuration. Covers API activity analysis, security event investigation, resource change tracking, unauthorized access detection, and event history querying.
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 Ecs — aWS ECS cluster health, service status, task analysis, capacity provider management, and deployment tracking. Covers service stability, task failure investigation, container insights, resource utilization, and scaling 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。
Use when working with Semgrep — semgrep static application security testing (SAST). Covers code scanning, custom rule creation, CI integration, autofix capabilities, multi-language support, and vulnerability triage. Use when scanning source code for security vulnerabilities, creating custom detection rules, or integrating SAST into CI 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 when working with Aws Batch — aWS Batch compute environment management, job queue analysis, scheduling policy review, and array job monitoring. Covers compute resource utilization, job status tracking, failure investigation, Fargate vs EC2 comparison, and queue priority 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。
Use when working with Snowflake — snowflake data warehouse analysis, query performance tuning, cost optimization, warehouse management, and schema inspection. Covers QUERY_HISTORY analysis, credit consumption, warehouse utilization, storage analysis, data sharing, and Time Travel. Read this skill before any Snowflake operations — it enforces two-phase execution, anti-hallucination rules, and read-only safety constraints.
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 Wiz — wiz cloud security posture management. Covers cloud security posture analysis, vulnerability prioritization, attack path analysis, compliance assessment, container security, and resource inventory. Use when assessing cloud security posture, investigating attack paths, prioritizing vulnerabilities, or auditing cloud 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。
Use when working with Great Expectations — great Expectations data quality framework analysis. Covers expectation suite management, validation result review, data docs generation, checkpoint execution, datasource configuration, and batch analysis. Use when reviewing data quality results, managing expectation suites, investigating validation failures, or auditing data quality 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 Druid — apache Druid datasource analysis, ingestion task management, supervisor status, segment management, and query performance.
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。
Live-CPU/RAM/DISK/NET-Dashboard + Top-Prozesse + Alarm.
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。
TDD: enforce RED-GREEN-REFACTOR, tests before code.
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。
54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.
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。
Top 20 GitHub Repositories for AI Agents in 2026 (Ranked by Stars) — 6. Apr. 2026 · Discover the 20 most popular open-source AI agent repositories on
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。
Updated Sep 14, 2026 Python ProjectNeura / MIPCandy Sponsor Star 294 Code Issues Pull requests Build
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。