指导通过MCP为Claude Code插件连接外部服务,涵盖连接方式选择、服务器配置、身份验证、工具权限设置,以及连接和工具调用的运行检查。
- 为插件添加本地MCP服务器
- 设置外部服务的身份验证
- 通过命令或智能体使用多个服务
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指导通过MCP为Claude Code插件连接外部服务,涵盖连接方式选择、服务器配置、身份验证、工具权限设置,以及连接和工具调用的运行检查。
Implement SMS notifications, verification code delivery, and bulk messaging in Java with Azure Communication Services. Covers authentication, asynchronous sending, per-recipient results, error handling, and delivery reports received through Azure Event Grid.
中文简介正在准备中。当前显示英语简介。
Implement shared authentication for Azure Communication Services in Java, including automatic renewal of access tokens, the credentials used to access services. It also guides handling identifiers for ACS users, phone numbers, and Microsoft Teams users.
中文简介正在准备中。当前显示英语简介。
Inspect browser storage and caches in a CTF sandbox to explain changes in authentication, page rendering, or requests. Compare clean and modified states, then document the smallest sequence that reproduces the relevant behavior.
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Set up distributed tracing with Jaeger and Tempo to follow requests across services. Examine delays, service dependencies, and error propagation, with guidance on sampling, linking logs to traces, and troubleshooting missing trace data.
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Set up mutual TLS, where services verify each other's certificates, to secure internal communication. The skill guides certificate hierarchy, rotation, gradual enforcement, and troubleshooting connection failures across services and clusters.
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Investigate misuse of application identities in Microsoft Entra ID using audit and sign-in logs. Provides detection queries and investigation steps for suspicious credential additions, privileged role assignments, consent grants, and service principal enumeration.
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Check a gbrain installation after a restart or when services seem broken. It tests key components, repairs some local problems, checks OpenClaw when installed, and records results, with support for custom test scripts.
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Configure authentication and per-project request limits for Google Cloud API Gateway. Secure access to Cloud Run backends, validate quota changes against existing configurations, and investigate HTTP 429 or Service Control Quota errors, including on MCP-enabled gateways.
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Implement Google sign-in for web applications using Google Identity Services. Add sign-in buttons or One Tap, verify ID tokens as proof of identity, configure browser security policies, and handle sessions, sign-out, and account disconnection.
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Configure how GKE applications receive traffic from the internet or internal networks. The skill provides configuration templates for routing, load balancing, certificates, and access protection, and guides diagnosis of failed health checks, dropped requests, and TLS connection problems.
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Create and validate Terraform alerts for GKE using PromQL, a monitoring query language. Cover response times, errors, traffic, memory usage, and cluster health, with checks for alert timing, duplicate signals, and metric ingestion costs.
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Helps design and provision Microsoft Azure infrastructure using az CLI and Bicep configuration files. Covers choosing application hosting services, managing identities and secrets, designing networks, setting up monitoring, and organizing resources for cost management.
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Install and configure WizTelemetry Platform Service, the shared API backend for KubeSphere observability extensions. Generate configuration based on installed extensions, update installation settings, and inspect service health, pods, and logs.
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Build TypeScript data services that separate API calls from display components. Add caching and a circuit breaker, which pauses calls after repeated failures, while keeping user-triggered requests able to report errors directly.
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Set up one mirrord-up.yaml file to debug several related services locally at the same time. Define each application’s command, Kubernetes target, environment settings, and traffic mode, then manage the sessions together with mirrord up.
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Assess what discovered cloud credentials allow across AWS, Azure, GCP, and Kubernetes. The skill guides identity checks, permission review, and paths to higher privileges, then helps document impact, activity, and cleanup within the engagement's agreed scope.
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Investigate cloud configuration weaknesses across AWS, GCP, and Azure, including public storage, exposed services, and leaked credentials. Find candidates in public information and JavaScript, then verify data access and permissions to establish practical impact.
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Assess gRPC services for exposed internal methods, missing access controls, identity spoofing through proxies, and unencrypted traffic. The skill guides service discovery and validates findings using response status codes, external reachability, and demonstrated effects on private data or system state.
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Guide the integration of collaboratively edited Markdown fields into an application feature. It explains service selection, permissions inherited from parent records, content storage in Loro sessions, and how to initialize and retire each editing surface.
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Review and structure Rust backend changes using hexagonal architecture, which separates business rules from external interfaces. Check dependency direction, place authorization policy in domain services, and keep database operations and external clients behind defined interfaces.
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Investigate local Rust services by starting the crate’s executable with debug logging and following its log output. Use the recorded messages to examine startup problems, runtime behavior, and errors while discussing findings with the agent.
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Host-side DOCA UROM library (doca_urom_*): offload an HPC / UCX / MPI application's remote memory operations (puts, gets, atomics, collectives) from the host CPU onto a BlueField DPU. Trigger on "MPI all-reduce burning host CPU", "push UCX traffic onto the BlueField", "first doca_urom call returns NOT_PERMITTED", or "host library and DPU service look out of sync", even without naming DOCA UROM. An offload needs both halves: this host library and the UROM Service on the DPU (doca-urom-svc), which owns deploying that container. Covers creating UROM Service contexts (doca_urom_service_*) and Worker contexts (doca_urom_worker_*) that run plugins on the DPU, discovering plugins via doca_urom_service_get_plugins_list, progressing completions, and DOCA_ERROR_* from doca_urom_* calls. Route elsewhere for UROM Service deployment on the DPU side, MPI / UCX collective algorithm design, and RDMA / RoCE / IB substrate bring-up.
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Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
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