云、CI/CD、监控、部署（6807 个）
Review records across OMC sessions to find recurring obstacles in the agent's working environment. It turns evidence from timelines, logs, and notes into ranked proposals for checks, guidance, tools, or information access, with changes requiring user approval.
中文简介正在准备中。当前显示英语简介。
Prepare and guide software releases using rules discovered in the project and its automated build workflows. It tracks version files, helps draft release notes, runs release steps with confirmation, and checks the published result.
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Define repeatable workflows and their dependencies in JSON, then execute them through a CLI. Combine commands, read-only agent tasks, parallel branches, and human approval steps, with journal records that support recovery after interruption.
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Retrieve an EagleEye traceId, an identifier linking a request across logs, using Arthas without changing application code. Observe request-handling methods, capture parameters when needed, and inspect method calls and timings to investigate problems.
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Collect and review SGLang startup logs to identify unnecessary output and trace its source. Get saved logs and specific cleanup proposals while preserving useful diagnostics, with runtime changes left for user approval.
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Prepare batches of merged SGLang pull requests for a release branch. It checks conflicts and previous attempts, starts the cherry-pick workflow, monitors completion, and reports created pull requests or failure reasons.
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Monitor selected GitHub Actions checks on an SGLang pull request until they pass on its latest commit. Diagnose failures, push small validated fixes, and retry only failed jobs within defined limits.
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Understand and modify SGLang's CI pipelines, including test stage order, start conditions, early stopping after failures, and workload splitting. Use the guide to add jobs and investigate failed, skipped, or cancelled checks.
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Investigate SGLang serving failures by collecting server state, preserving failing requests, and replaying them on a clean target. Summarize evidence and likely causes, then choose the next debugging tool for crashes, stalls, or performance regressions.
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Launch an SGLang server, run a quick accuracy check, and capture an execution trace for performance inspection. Return the trace location and generated files, ready to open in Perfetto or Chrome tracing.
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Calculate how to divide serving memory between recurrent state and KV cache, two memory pools used by hybrid models. Use startup logs and workload settings to recommend a ratio, estimate concurrency, and identify the limiting pool.
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Find installation steps, configuration guidance, and command examples for Alibaba Cloud CLI using local Chinese documentation. The skill checks its quick reference or relevant documentation pages before suggesting commands, parameters, and options.
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Prepare a local Terraform environment by checking installation, choosing a macOS or Linux installation method, initializing configuration folders, and validating files. It also addresses plugin download failures and common initialization errors.
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Design and review infrastructure managed with Terraform or OpenTofu. Get guidance on reusable modules, testing choices, automated deployment workflows, and security checks, with approaches suited to different software versions and the cost of running tests.
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Set up encrypted connections between devices with Tailscale and control access by user or device. The skill covers network routing, device name resolution, and self-hosting the coordination server with Headscale.
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Set up Cloudflare Access and Tunnel to protect internal applications using user identity and device health checks. Covers application access policies, WARP device enrollment, and audit logging for teams replacing VPN access.
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Configure TLS 1.3, a protocol for encrypted connections, on nginx, Apache, and Python applications. Select encryption settings and key exchange groups, disable outdated protocols, and use openssl s_client and testssl.sh to check connections and configuration weaknesses.
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Deploy Prisma Access to secure access to internal applications for remote users and branches. Configure connectors, GlobalProtect agents, access policies based on user groups and device security, and centralized logging through Strata Cloud Manager.
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Configure pfSense to separate internal, guest, DMZ, and IoT networks. Set firewall rules, port forwarding, VPN connections, and bandwidth policies, then check traffic logs and test that each network can reach only its intended destinations.
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Deploy a Software-Defined Perimeter that connects verified users to authorized applications. Configure single-packet authorization, mutual certificate authentication, access policies, and monitoring, then test whether unauthorized connections and access between applications are blocked.
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Configure AWS Verified Access for VPN-free access to internal applications. Combine user identity and device security checks, write Cedar access policies, and use Terraform and AWS RAM to deploy and share access controls across AWS accounts.
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Configure Google Cloud IAP to check identity before granting access to internal applications and virtual machines. Set permissions by user group, device, and network, configure reauthentication, enable service-account access, and record access decisions for monitoring.
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Build a GitLab CI/CD pipeline with automated checks for vulnerable code, dependencies, container images, running applications, and exposed secrets. Covers scanner configuration, consolidated findings, and approval policies for serious vulnerabilities before production deployment.
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Configure SAML identity federation, a way to share authentication between systems, linking on-premises Active Directory with Microsoft Entra ID. Cover single sign-on for cloud applications, user attribute mapping, authentication model choices, and signing certificate management.
中文简介正在准备中。当前显示英语简介。