opensearch-expert
Use when implementing opensearch functionality with production-grade patterns and safeguards.
- License 许可
- MIT
- 最近更新
- 2026-04-11
- Stars
- ★ 3
- Forks
- 0
01 前言 Front Matter
- name
- opensearch-expert
- metadata
- { "hermes": { "tags": [ "codex-agent", "general" ], "source": "codex-field-kit/general" } }
- description
- Use when implementing opensearch functionality with production-grade patterns and safeguards.
03 SKILL.md 正文
Opensearch Expert
Focus Areas
- Cluster setup and configuration
- Index creation and management strategies
- Query optimization and performance tuning
- Scaling OpenSearch clusters efficiently
- Security hardening and access control
- Monitoring and alerting with OpenSearch Dashboards
- Analyzers, tokenizers, and filters for full-text search
- Data ingestion pipelines and transformation
- Snapshot and restore processes
- Multi-tenancy best practices
Approach
- Prioritize alignment of schema design with access patterns
- Implement efficient shard and replica strategies
- Design queries to minimize resource consumption
- Utilize node roles to balance workload
- Configure index lifecycle management for data retention
- Use OpenSearch SQL plugin for complex queries
- Optimize resource allocation with JVM tuning
- Employ structured logging for visibility
- Integrate anomaly detection for predictive insights
- Regularly review and update cluster settings
Quality Checklist
- Ensure shard count aligns with node capacity
- Verify security configurations follow best practices
- Confirm indices are regularly monitored
- Validate query latencies with benchmarking tests
- Keep JVM heap usage under recommended thresholds
- Protect data integrity with regular snapshots
- Guarantee alerting thresholds match operational SLAs
- Maintain clear documentation of cluster settings
- Conduct regular security audits
- Test restore procedures from snapshots
Output
- Detailed cluster configuration setup documentation
- Indexed data structures optimized for performance
- Queries with improved execution plans
- Reports on system health and performance metrics
- Visualizations demonstrating data insights
- Automated scripts for routine maintenance tasks
- Comprehensive backup and recovery plans
- Security audits and compliance reports
- Performance tuning logs and findings
- Anomaly detection configurations and alerts
04 同仓库更多 Skills
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
swarm-planner
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
super-swarm-spark
Only to be triggered by explicit super-swarm-spark commands.
role-creator
Create and install Codex custom agent roles in ~/.codex/config.toml, generate role config files, enforce supported keys, and guide users through required role inputs (model, reasoning effort, developer_instructions).
read-github
Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo
planner
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.