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SkillsMP has collected 23 skills from LawrenceBarratt90/Business-Observability-Demonstrator. Open a skill to review its source and details.
Showing 23 of 23 collected skills.
Manage Dynatrace environments using dtctl - install/update the CLI, configure authentication with OS keyring tokens, and run kubectl-style operations (get/describe/edit/apply/delete/query/exec) for workflows, dashboards, notebooks, DQL, SLOs, settings,…
Manage Bitbucket Server/Data Center pull requests: create/update PRs, review code changes, process PR feedback and tasks. Use when: (1) User asks to create or update a Bitbucket PR, (2) User wants to review a PR on Bitbucket Server, (3) User mentions…
Runtime validation guide for Dynatrace dt- skills. Use when validating dt- skills against a real Dynatrace tenant: DQL query execution, dtctl command verification, resource lifecycle testing (create/test/delete), and validation report generation. Requires…
Fix documentation files - either single files (typos, grammar, clarity) or project-wide documentation (README.md, CONTRIBUTING.md, AGENTS.md synchronization). Use when: (1) User requests fixing typos/grammar/clarity in documentation, (2) User asks to…
Analyze monitoring data (logs, metrics, spans, events, RUM) and triage issues into beads. Use when: (1) User wants to analyze logs, metrics, or monitoring data, (2) User mentions 'check logs', 'analyze errors', 'triage issues', 'review monitoring', (3) User…
Analyze current session failures by examining errors, root causes, tool failures, and information quality issues. Use when user explicitly requests reflection, self-analysis, post-mortem, or session review to identify what went wrong, why it went wrong, and…
Static/local validation for skill assets. Use when checking markdown parseability, link integrity, code block syntax, file-size guidance, and local eval asset structure before benchmark or live-runtime validation.
Dynatrace app health observability — user adoption, errors, error pages, Core Web Vitals (FCP, LCP, INP), HTTP request performance, DQL query failures, and billed consumption. Covers any Dynatrace app identified by its app ID (e.g. `dynatrace.notebooks`). For…
Dynatrace platform self-monitoring on dre63214 — cluster architecture (naming, Gen2 vs Gen3, deployment families like prod10 or eu-west-7-ireland), health dashboards for Grail ingest/query/PPX, and DQL templates for cluster-based queries. For tenant lookups,…
Map Dynatrace tenant IDs to customer accounts, clusters, and payment status using Snowflake bizevents on dre63214. See references/ for query templates and workflows.
Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations. Supports dashboard creation, updates, data extraction, structure analysis, and best practices.
Work with Dynatrace extensions - check extension status and help troubleshoot configuration issues
Real User Monitoring (RUM), Web Vitals, user sessions, mobile crashes, page performance, user interactions, and frontend errors. Query web and mobile application telemetry.
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, visualizations, markdown documentation, and analytics workflows. Supports notebook creation from scratch, section-based updates, data extraction…
Service metrics, RED metrics (Rate, Errors, Duration), and runtime-specific telemetry for .NET, Java, Node.js, Python, PHP, and Go applications.
Distributed traces, spans, service dependencies, performance analysis, and failure detection. Query trace data, analyze request flows, and investigate span-level details.
REQUIRED before generating any DQL queries. Provides critical syntax rules, common pitfalls, and patterns. Load this skill BEFORE writing DQL to avoid syntax errors.
AWS cloud resources including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, databases, serverless, messaging, and cost optimization. Monitor AWS infrastructure, analyze resource usage, optimize costs, and ensure security compliance.
Host and process metrics including CPU, memory, disk, network, containers, and process-level telemetry. Monitor infrastructure health and resource utilization.
Kubernetes clusters, pods, nodes, workloads, labels, annotations, and resource relationships. Monitor K8s infrastructure and troubleshoot containerized applications.
Log queries, filtering, pattern analysis, and log correlation. Search and analyze application and infrastructure logs.
Problem entities, root cause analysis, impact assessment, and problem correlation. Query and analyze Dynatrace-detected problems and incidents.
Critical incident response process workflow. Use when analyzing critical incidents, performing initial assessments, health checks, or providing incident status updates. Guides systematic investigation from initial triage through root cause identification.