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By Sumeet138
Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards
npx claudepluginhub sumeet138/qwen-code-agents --plugin observability-monitoringYou are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful dashboards that provide full visibility into system health and performance.
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based engineering practices. Design comprehensive SLO frameworks, establish meaningful SLIs, and create monitoring systems that balance reliability with feature velocity.
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.
Expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. Masters multi-cloud connectivity, service mesh, zero-trust networking, SSL/TLS, global load balancing, and advanced troubleshooting. Handles CDN optimization, network automation, and compliance. Use PROACTIVELY for network design, connectivity issues, or performance optimization.
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
Expert performance engineer specializing in modern observability, application optimization, and scalable system performance. Masters OpenTelemetry, distributed tracing, load testing, multi-tier caching, Core Web Vitals, and performance monitoring. Handles end-to-end optimization, real user monitoring, and scalability patterns. Use PROACTIVELY for performance optimization, observability, or scalability challenges.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service performance.
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Editorial "Observability & Monitoring" bundle for Claude Code from Antigravity Awesome Skills.
Track SLAs, SLIs, and SLOs for service reliability
Observability & reliability engineer — monitoring, alerting, SRE, incident response, SLOs
Production reliability and observability across all environments. Master Datadog, CloudWatch, monitoring, incident response, SRE practices, and audit logging for enterprise compliance.
Observability engineering agents providing expertise in tracing, monitoring, and logging
Use this agent when you need to implement comprehensive monitoring, observability, and alerting systems for enterprise B2B applications. This agent specializes in APM, logging, metrics, distributed tracing, SLA monitoring, and proactive incident management for business-critical systems. Examples:
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Interactive debugging, developer experience optimization, and smart debugging workflows
Distributed system tracing and debugging across microservices
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
Adapted for Qwen Code — 77 plugins, 182 agents, 149 skills, and 96 commands now working with Qwen 3.6
A comprehensive production-ready system combining 182 specialized AI agents, 16 multi-agent workflow orchestrators, 149 agent skills, and 96 commands organized into 77 focused, single-purpose plugins — adapted for Qwen Code.
This project is a fork/adaptation of claude-code-workflows by Seth Hobson (@wshobson).
All original plugin content, agent expertise, skill knowledge, command workflows, and architectural design are the work of Seth Hobson and contributors. This adaptation converts the plugin infrastructure to work with Qwen Code instead of Claude Code, while preserving 100% of the original content and intelligence.
Original repository: github.com/wshobson/agents Original license: MIT
Claude Code is expensive. Qwen Code is free (OAuth: 60 req/min, 1000/day) or very cheap (API key). This project brings the same powerful agent orchestration system to Qwen Code so you can use 182 specialized AI agents without paying for Claude.
| Aspect | Before (Claude Code) | After (Qwen Code) |
|---|---|---|
| Cost | $3+ per 1M tokens (Sonnet) | Free (OAuth) or ~$0.02/1M tokens |
| Model for critical tasks | Claude Opus 4.6 | Qwen-Max |
| Model for complex tasks | Claude Sonnet 4.6 | Qwen-Plus |
| Model for fast tasks | Claude Haiku 4.5 | Qwen-Flash |
| Plugins | 77 | 77 (same) |
| Agents | 182 | 182 (same expertise) |
| Skills | 149 | 149 (same knowledge) |
| Commands | 96 | 96 (same workflows) |
| Agent knowledge | Identical | Identical |
| Skill content | Identical | Identical |
| Workflow automation | Identical | Identical |
| Monthly savings | Baseline | ~99% cheaper |
| Component | Changed? | Details |
|---|---|---|
| Agent system prompts | No | All 182 agents have identical expertise |
| Skill knowledge packages | No | All 149 skills with progressive disclosure |
| Command workflows | No | All 96 workflow automations |
| Plugin structure | No | Same directory organization |
model: opus references | Yes | Mapped to model: qwen-max |
model: sonnet references | Yes | Mapped to model: qwen-plus |
model: haiku references | Yes | Mapped to model: qwen-flash |
| Plugin manifest | Yes | plugin.json + qwen-extension.json |
| Context files | Added | QWEN.md per plugin |
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
Each plugin is completely isolated with its own agents, commands, and skills:
Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 16 skills available (~1000 tokens), not the entire marketplace.