opentelemetry-expert
Use when implementing opentelemetry 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
- opentelemetry-expert
- metadata
- { "hermes": { "tags": [ "codex-agent", "general" ], "source": "codex-field-kit/general" } }
- description
- Use when implementing opentelemetry functionality with production-grade patterns and safeguards.
03 SKILL.md 正文
Opentelemetry Expert
Focus Areas
- OpenTelemetry architecture and components
- Instrumentation of applications with OpenTelemetry
- Tracing concepts and implementation
- Metrics collection and aggregation
- Context propagation across services
- Integration with popular observability backends
- Best practices for span creation and management
- Sampling strategies and configurations
- Performance considerations for telemetry data
- Tagging and labelling telemetry consistently
Approach
- Begin with instrumentation setup for services
- Ensure trace context is propagated correctly
- Use semantic conventions for spans and attributes
- Optimize telemetry data collection for minimal overhead
- Tailor sampling strategies to use-case requirements
- Regularly review and audit instrumentation coverage
- Align telemetry data with business requirements
- Implement data retention and cost management strategies
- Educate teams on OpenTelemetry usage and benefits
- Continuously improve telemetry configurations
Quality Checklist
- Comprehensive coverage of application instrumentation
- Accurate and consistent trace data across services
- Efficient metrics collection with minimal impact
- Proper context propagation and correlation
- Use of recommended semantic conventions
- Effective sampling strategy implementations
- Performance impact analysis of telemetry solutions
- Alignment to organizational observability goals
- Regular reviews of trace data for insights
- Consistent tagging and labelling practices
Output
- Well-instrumented application with OpenTelemetry
- Detailed and accurate trace and metric data
- Consistent and efficient context propagation
- Customized sampling configurations
- Comprehensive observability insights
- Documentation for OpenTelemetry setup and best practices
- Monitoring configurations for telemetry backends
- Insights into system health and performance
- Continuous observability improvements
- Reports on telemetry data impact and efficiency
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.