Total 44,222 skills, DevOps & Cloud Services has 2740 skills
Showing 12 of 2740 skills
Perses variable lifecycle management: create Text and List variables at global, project, or dashboard scope. Handle variable chains with dependencies (A depends on B depends on C). Supports 14+ interpolation formats. Uses MCP tools when available, percli CLI as fallback. Use for "perses variable", "dashboard variable", "perses filter", "add variable". Do NOT use for datasource management (use perses-datasource-manage).
Post-mortem diagnostic analysis of failed or stuck workflows. Detects stuck loops, missing artifacts, abandoned work, scope drift, and crash/interruption patterns through git history and plan file analysis. Produces a structured diagnostic report with anomaly confidence levels, root cause hypotheses, and recommended remediation. READ-ONLY: never modifies files. Use for "forensics", "what went wrong", "why did this fail", "stuck loop", "diagnose workflow", "post-mortem", "workflow failure", or "session crashed". Do NOT use for debugging code bugs (use systematic-debugging), reviewing code quality (use systematic-code-review), or fixing issues (forensics only diagnoses).
Review existing Perses dashboards for quality: fetch via MCP or API, analyze panel layout, query efficiency, variable usage, datasource configuration. Generate improvement report. Optional --fix mode. 4-phase pipeline: FETCH, ANALYZE, REPORT, FIX. Use for "review perses dashboard", "audit dashboard", "perses dashboard quality". Do NOT use for creating new dashboards (use perses-dashboard-create).
Check GitHub Actions workflow status after git push using gh CLI. Reports CI status, identifies failing jobs, and suggests local reproduction commands. Use after "git push", when user asks about CI status, workflow failures, or build results. Use for "check CI", "workflow status", "actions failing", or "build broken". Do NOT use for local linting (use code-linting), debugging test failures locally (use systematic-debugging), or setting up new workflows.
Use the `datadog` CLI to manage Datadog resources — monitors, metrics, events, logs, services, errors, and pipelines. Invoke this skill whenever the user asks to query, create, update, or delete Datadog monitors, search logs or errors, check metric values, list APM services, or manage log pipelines. Also trigger when the user mentions Datadog observability tasks like "check the error rate", "look at monitors", "search logs for errors", "list services", or "set up a log pipeline".
A professional guide for handling dynamic deployment parameter configuration (lzc-deploy-params.yml), Go template rendering of manifest files, and front-end page script injection via application.injects for Lazycat MicroServer applications.
Create or update AgentDeploy SharedInfra and Service YAML files, validate them, deploy apps with the agentdeploy CLI and Platform API, poll status and explain output, and debug structured deployment failures. Use when a user wants to deploy, redeploy, or troubleshoot an app on an AgentDeploy installation.
Use when migrating from AWS S3, Google Cloud Storage, or Azure Blob to Tigris — shadow buckets, bulk copy, SDK endpoint swap, zero-downtime migration
AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
Expert in Terraform infrastructure-as-code with cloud deployment patterns
Expert knowledge for Azure Resource Manager development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when authoring Bicep/ARM templates, using template specs, deployment stacks, CI/CD pipelines, or ARM REST/CLI, and other Azure Resource Manager related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Graph (use azure-resource-graph), Azure Portal (use azure-portal), Azure Blueprints (use azure-blueprints).