By jdziat
Production incident management, triage workflows, and automated incident resolution
Orchestrate multi-agent incident response with modern SRE practices for rapid resolution and learning:
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and resolve production issues. The intelligent debugging strategy combines automated root cause analysis with human expertise, using modern 2024/2025 practices including AI code assistants (GitHub Copilot, Claude Code), observability platforms (Sentry, DataDog, OpenTelemetry), git bisect automation for regression tracking, and production-safe debugging techniques like distributed tracing and structured logging. The process follows a rigorous four-phase approach: (1) Issue Analysis Phase - error-detective and debugger agents analyze error traces, logs, reproduction steps, and observability data to understand the full context of the failure including upstream/downstream impacts, (2) Root Cause Investigation Phase - debugger and code-reviewer agents perform deep code analysis, automated git bisect to identify introducing commit, dependency compatibility checks, and state inspection to isolate the exact failure mechanism, (3) Fix Implementation Phase - domain-specific agents (python-pro, typescript-pro, rust-expert, etc.) implement minimal fixes with comprehensive test coverage including unit, integration, and edge case tests while following production-safe practices, (4) Verification Phase - test-automator and performance-engineer agents run regression suites, performance benchmarks, security scans, and verify no new issues are introduced. Complex issues spanning multiple systems require orchestrated coordination between specialist agents (database-optimizer → performance-engineer → devops-troubleshooter) with explicit context passing and state sharing. The workflow emphasizes understanding root causes over treating symptoms, implementing lasting architectural improvements, automating detection through enhanced monitoring and alerting, and preventing future occurrences through type system enhancements, static analysis rules, and improved error handling patterns. Success is measured not just by issue resolution but by reduced mean time to recovery (MTTR), prevention of similar issues, and improved system resilience.]
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
Expert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management. Masters incident command, blameless post-mortems, error budget management, and system reliability patterns. Handles critical outages, communication strategies, and continuous improvement. Use IMMEDIATELY for production incidents or SRE practices.
Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.
Master on-call shift handoffs with context transfer, escalation procedures, and documentation. Use when transitioning on-call responsibilities, documenting shift summaries, or improving on-call processes.
Write effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
⚡ Updated for Opus 4.5, Sonnet 4.5 & Haiku 4.5 — Three-tier model strategy for optimal performance
🎯 Agent Skills Enabled — 146 specialized skills extend Claude's capabilities across plugins with progressive disclosure
A comprehensive production-ready system combining 112 specialized AI agents, 16 multi-agent workflow orchestrators, 146 agent skills, and 79 development tools organized into 73 focused, single-purpose plugins for Claude Code.
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.
Add this marketplace to Claude Code:
/plugin marketplace add wshobson/agents
This makes all 73 plugins available for installation, but does not load any agents or tools into your context.
Browse available plugins:
/plugin
Install the plugins you need:
# Essential development plugins
/plugin install python-development # Python with 16 specialized skills
/plugin install javascript-typescript # JS/TS with 4 specialized skills
/plugin install backend-development # Backend APIs with 3 architecture skills
# Infrastructure & operations
/plugin install kubernetes-operations # K8s with 4 deployment skills
/plugin install cloud-infrastructure # AWS/Azure/GCP with 4 cloud skills
# Security & quality
/plugin install security-scanning # SAST with security skill
/plugin install code-review-ai # AI-powered code review
# Full-stack orchestration
/plugin install full-stack-orchestration # Multi-agent workflows
Each installed plugin loads only its specific agents, commands, and skills into Claude's context.
You install plugins, which bundle agents:
| Plugin | Agents |
|---|---|
comprehensive-review | architect-review, code-reviewer, security-auditor |
javascript-typescript | javascript-pro, typescript-pro |
python-development | python-pro, django-pro, fastapi-pro |
blockchain-web3 | blockchain-developer |
# ❌ Wrong - can't install agents directly
/plugin install typescript-pro
# ✅ Right - install the plugin
/plugin install javascript-typescript@claude-code-workflows
"Plugin not found" → Use plugin names, not agent names. Add @claude-code-workflows suffix.
Plugins not loading → Clear cache and reinstall:
npx claudepluginhub p/jdziat-incident-response-plugins-incident-responseJavaScript and TypeScript development with ES6+, Node.js, React, and modern web frameworks
Team workflows, issue management, standup automation, and developer experience optimization
Multi-perspective code analysis covering architecture, security, and best practices
API testing automation, request mocking, OpenAPI documentation generation, observability setup, and monitoring
Framework updates, migration planning, and architectural transformation workflows
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.