云、CI/CD、监控、部署（6841 个）
Customize a project's Docker environment with personal tools such as vim, ripgrep, or jq. The skill prepares user override files, adds requested packages, and provides rebuild commands while keeping personal configuration out of Git.
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Manage which n8n instance an MCP session targets when working across production, staging, teams, or clients. Guides instance switching, checks before credential changes, and recovery from unexpected missing data or ambiguous credential writes.
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Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.
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Retry commands that fail with network errors through proxychains4, a tool that routes connections through a proxy. The skill also guides proxy configuration and troubleshooting when downloads, package installations, or Git operations cannot connect.
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Prepare and create a signed NemoClaw release tag for a requested version, then monitor release workflows, documentation, and published images. It records maintainer decisions and drafts an announcement after verifying the remote tag.
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Close a NemoClaw maintenance day by consolidating documentation and changelog updates, reviewing merged and unfinished work, and preparing a release handoff. When requested, pass the version to the dedicated skill that verifies and creates the release tag.
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Classify a failed NemoClaw GitHub Actions job using logs with sensitive information hidden and output size limited. Optionally inspect saved artifacts to identify failure patterns and gather evidence for further investigation.
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Prepare a daily NemoClaw maintenance plan by ranking pending pull requests and issues, checking work carried over from earlier versions, and selecting release targets. Produce a queue with owners, next actions, and merge readiness.
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Analyze saved NemoClaw CI timings to rank consistently slow command-line tests and compare base-image publication with reuse. Read-only analyzers report execution times, runner queues, and sample coverage as bounded JSON output.
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Explain which process holds a port or file lock, what started it, and what keeps it running. Uses the witr CLI to trace services, containers, and parent processes without stopping or changing anything.
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Guide a macOS app release through versioning, signing, Apple notarization, update feed checks, and Homebrew updates. Includes CodexBar release scripts, published asset verification, and preparation of the next unreleased version.
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Reconstruct an incident timeline from recorded screens and conversations, supported by available logs and monitoring. Organize symptoms, changes, response actions, and recovery evidence while distinguishing observed facts from suspected causes.
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Check Screenpipe's process, API, screen capture, and audio transcription status. Inspect logs, storage, resource usage, and processing metrics to identify problems, then report the findings with relevant errors and suggested fixes.
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Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.
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Prepare a beta release of Paseo by following the project's release documentation. The skill directs the agent through the beta workflow and its completion checklist, keeping the task tied to the documented process.
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Prepare a stable Paseo release by following the documented release flow and completion checklist. Use it for a fresh patch or minor release, or to promote a beta version to stable.
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Provides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA; formerly Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Managed Airflow environments, scaling Airflow environments, preventing workload restarts, or analyzing system health. Don't use for troubleshooting individual DAG or task run failures, authoring DAGs, or migrating DAGs to newer Airflow versions.
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Builds an Apigee proxy that inspects an agent’s model requests and responses through Google Cloud Agent Gateway. It measures token usage by model, identifies callers, and can add prompt screening or a cache for similar prompts.
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Design and create custom cloud controls and frameworks for Google Cloud data boundary requirements that existing resources cannot meet. Receive prepared configuration fields for manual setup, or approve creation through the agent.
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Match Google Cloud data residency and access requirements to available data boundary frameworks and cloud controls. Compare ranked recommendations in a table, see requirement gaps, and receive deployment guidance with built-in frameworks prioritized.
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Diagnose GKE TPU slice creation failures caused by shared nodes. Check slice status, partition labels, and monitoring data to identify conflicting resource groups, then provide resolution steps for the user to apply.
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Diagnose GKE TPU node pool creation or expansion failures despite reserved capacity. Trace which virtual machines and unhealthy node pools occupy reservation slots, check automatic repair settings, and provide remediation steps for the user to apply.
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Diagnose GKE TPU virtual machines that remain in repair by checking instance status, host events, and automatic repair history. Understand the impact on grouped TPU nodes and identify recovery steps for the user to apply.
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Diagnose GKE TPU slice creation failures and pending JobSets caused by unstable managed instance groups, the underlying VM groups. Read-only checks examine logs, instance status, upgrades, and repairs to identify causes and suggest user-applied fixes.
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