512 件 ・ 関連度順
概要と使いどころ
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
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。
Knowledge base from the DoD Manufacturing Readiness Level (MRL) Deskbook (Version 2022, OSD ManTech / Joint Service–Industry MRL Working Group). Use for assessing and managing manufacturing maturity and producibility risk in defense acquisition: the 10-level MRL scale and its non-linear, target-not-grade nature; the five demonstration environments (laboratory → production-relevant → production-representative → pilot line → production line); the nine manufacturing-risk threads and sub-threads; how MRL targets map onto Adaptive Acquisition Framework milestones (MRL 4/6/7/8/9); conducting an MRL Assessment; building a Manufacturing Maturation Plan; putting MRL maturity into contract language (Section L/M, SOW, AS6500A, DIDs); tailoring criteria for S&T, single-system, ship, sustainment, and industry contexts; and screening operational-technology cybersecurity. Manufacturing-readiness focused — it measures producibility risk and frames mitigation; it is NOT a technology-readiness (TRL) guide, a full systems-engineering process model, a cost-estimating or schedule guide, or a deep cybersecurity audit method (see sibling packs 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。
Knowledge base from the DoD Digital Engineering Strategy (2018, OUSD/ODASD(SE)). Use for the Department of Defense's five digital engineering goals — (1) formalize the development, integration, and use of models; (2) provide an enduring authoritative source of truth; (3) incorporate technological innovation; (4) establish supporting infrastructure and environments; (5) transform the culture and workforce — plus their focus areas, the document-to-model and design-build-test→model-analyze-build shifts, model formalisms/provenance, governance and access control of the authoritative source of truth, and the coordinate→plan→pilot→sustain rollout. A vision-and-policy strategy, deliberately non-prescriptive. Does NOT provide a how-to method, tool tutorials, MBSE/SysML mechanics, or implementation-plan content; thin on metrics, acquisition-policy detail, and step-by-step procedure. Excludes the CAC-gated Digital Engineering Body of Knowledge (DEBoK).
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Manage Railway projects, services, deployments, environments, variables, and deployment logs via Railway's public GraphQL API — one endpoint, relay-style pagination, two token flavors (account vs project), typed mutations for deploys and env vars. Use when the user wants to deploy, check service status, manage env vars, or read deployment logs programmatically without the Railway MCP installed.
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。
Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, an
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。
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
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。
Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and doma
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。
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
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。
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
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。
Provision database infrastructure, initialize migration framework, configure environments, and verify connectivity/migration gates
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。
Provision hosting targets, configure domains/environments, integrate deployment pipeline, and verify staging access
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 Dbt Cloud — dbt Cloud management — monitor projects, environments, job runs, model status, and data freshness. Use when reviewing job run health, debugging failed models, inspecting run artifacts, or auditing project 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 when working with Devcycle — devCycle feature flag management, targeting rules, environments, variable management, and usage metrics. Covers feature creation, variation configuration, targeting rules, audience segments, and API usage tracking. Use when managing feature flags, configuring targeting rules, reviewing variable usage, or analyzing feature adoption in DevCycle.
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 Chamber — chamber secrets management using AWS Systems Manager Parameter Store, service-scoped secret organization, environment variable export, and parameter auditing. Covers reading and writing secrets by service, comparing environments, listing services, version tracking, and IAM permission validation. Use when managing AWS SSM-based secrets with Chamber, auditing parameter changes, or comparing configs across services.
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 Lighthouse — azure Lighthouse delegated resource management. Covers delegation assignments, managed service offers, customer tenant access, cross-tenant resource visibility, role assignments, and delegation auditing. Use when managing multi-tenant Azure environments, reviewing delegated access, auditing cross-tenant permissions, or configuring managed service registrations.
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 Proton — aWS Proton service and environment template management. Covers environment templates, service templates, service instances, pipeline management, component inspection, and template sync configuration. Use when managing Proton environments, deploying services from templates, inspecting provisioned resources, or auditing template versions.
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 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 Amplify — aWS Amplify application management and deployment analysis. Covers Amplify apps, branches, backend environments, build status, domain associations, and webhook configurations. Use when inspecting Amplify deployments, debugging build failures, reviewing hosting configurations, or auditing Amplify app settings.
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 Appconfig — aWS AppConfig configuration management and deployment analysis. Covers applications, environments, configuration profiles, deployment strategies, hosted configurations, and deployment status monitoring. Use when inspecting AppConfig deployments, reviewing feature flags, auditing configuration profiles, or debugging deployment rollbacks.
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。
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.
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。
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
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。
Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).
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。
Git Worktree Runner (gtr) workflow guidance for parallel development with Claude Code. Use when the user asks about git worktrees, parallel AI development, running multiple Claude sessions, managing worktrees with gtr, or setting up isolated development environments for feature work.
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。