ReddRadar
Agent skill
opensearch-principal-engineer
Principal/Senior-level OpenSearch playbook for index architecture, relevance, observability workloads, cluster tuning, security, and operating search/logging platforms at scale. Use when: designing search or logging clusters, reviewing mappings and analyzers, tuning cluster performance, or operating OpenSearch in production.
Install this agent skill to your Project
npx add-skill https://github.com/mOdrA40/claude-codex-skills-directory/tree/main/data-skills/opensearch-mastery-skill
SKILL.md
OpenSearch Mastery (Senior → Principal)
Operate
- Start from workload type: product search, log analytics, security analytics, or mixed.
- Treat mappings, analyzers, shards, retention, and cluster topology as architectural decisions.
- Separate relevance needs from ingest-heavy observability defaults.
- Optimize for predictable operations and recoverability, not demo queries.
Default Standards
- Important fields should have explicit mappings.
- Shard count is an operational budget.
- Relevance changes must be evaluated, not guessed.
- Retention and ILM/ISM must match business value.
- Search clusters and logging clusters should not be treated as identical by default.
References
- Mappings and analyzers: references/mappings-and-analyzers.md
- Query DSL, filters, and scoring: references/query-dsl-filters-and-scoring.md
- Shards, topology, and cluster layout: references/shards-topology-and-cluster-layout.md
- Ingestion, pipelines, and retention: references/ingestion-pipelines-and-retention.md
- Search relevance and analytics tradeoffs: references/search-relevance-and-analytics-tradeoffs.md
- Security, tenancy, and governance: references/security-tenancy-and-governance.md
- Reliability and operations: references/reliability-and-operations.md
- Incident runbooks: references/incident-runbooks.md
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