By NikiforovAll
Interact with Elasticsearch and Kibana via curl REST API to query using Query DSL or ES|QL, index and manage documents with CRUD operations, configure mappings and ILM policies, run aggregations, monitor cluster health, deploy dashboards, integrate OpenTelemetry patterns, and troubleshoot issues.
A collection of Claude Code recommendations and practices.
Learn practical techniques to enhance your AI-assisted development workflow with Claude Code.

# Add the marketplace
claude plugin marketplace add nikiforovall/claude-code-rules
# Install plugins
claude plugin install handbook@cc-handbook
claude plugin install handbook-extras@cc-handbook
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Sign in to claimKeycloak administration and Keycloak.AuthServices .NET library development skills
GitLab CLI (glab) expertise for managing merge requests, issues, CI/CD pipelines, and repositories from the command line
Interactive skill that analyzes a task, proposes an agent team composition, and creates the team after user confirmation
Python scripting and Gemini image generation using uv with inline script dependencies
Code review plugin with a standalone reviewer agent and two skill strategies: disposable subagents for one-shot reviews and persistent team members for iterative reviews
npx claudepluginhub nikiforovall/claude-code-rules --plugin handbook-elasticsearchSet up log aggregation (ELK, Loki, Splunk)
OpenSearch skills to help set up and deploy OpenSearch for a variety of use cases: build search applications with semantic, hybrid, neural sparse, and agentic search strategies; analyze observability data with log analytics (PPL and Query DSL) and distributed traces (OpenTelemetry); deploy to Amazon OpenSearch Service or OpenSearch Serverless with Bedrock integration for embeddings and RAG. Just ask your AI assistant to set up a search app, query logs, investigate traces, or deploy to AWS.
Query and analyze logs in Elasticsearch.
Commands for setting up monitoring and observability
Etcd cluster health monitoring and performance analysis utilities
Query and investigate traces, logs, and metrics from an OpenSearch-based observability stack using PPL and PromQL