eks-security
EKS security hardening and best practices. Use when configuring cluster security, implementing pod security, managing secrets, preparing for compliance audits, hardening infrastructure, scanning containers, or responding to security incidents.
eks-troubleshooting
EKS troubleshooting and debugging guide covering pod failures, cluster issues, networking problems, and performance diagnostics. Use when diagnosing cluster issues, debugging pod failures (CrashLoopBackOff, Pending, OOMKilled), resolving networking problems, investigating performance issues, troubleshooting IAM/IRSA permissions, fixing image pull errors, or analyzing EKS cluster health.
end-to-end-orchestrator
Complete development workflow orchestrator coordinating all multi-ai skills (research → planning → implementation → testing → verification) with quality gates, failure recovery, and state management. Single-command complete workflows from objective to production-ready code. Use when implementing complete features requiring full pipeline, coordinating multiple skills automatically, or executing production-grade development cycles end-to-end.
enhanced-telemetry
Comprehensive Claude Code telemetry via 10 hooks capturing sessions, conversations, tools, subagents, context, permissions, and repository analytics. Use when analyzing detailed usage patterns beyond default OTEL.
error-recoverer
Intelligent error detection and recovery for autonomous coding. Use when handling errors, implementing retry logic, recovering from failures, or managing exception handling.
evolution-reporter
Generate comprehensive ecosystem progress reports showing skills built, efficiency gains, quality metrics, learnings captured, and system evolution. Task-based reporting operations for status reports, efficiency analysis, quality summaries, and evolution documentation. Use when reporting ecosystem progress, communicating status to stakeholders, documenting achievements, or creating milestone reports.
feedback-analyzer
Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.
finnhub-api
FinnHub financial data API integration for stocks, forex, crypto, news, and fundamentals. Use when fetching real-time quotes, company profiles, financial statements, insider trading, earnings calendars, or market news.
fmp-api
Financial Modeling Prep API for stocks, fundamentals, SEC filings, institutional holdings (13F), and congressional trading. Use when fetching financial statements, ratios, DCF valuations, insider/institutional ownership, or screening stocks.
gemini-3-advanced
Advanced Gemini 3 Pro features including function calling, built-in tools (Google Search, Code Execution, File Search, URL Context), structured outputs, thought signatures, context caching, batch processing, and framework integration. Use when implementing tools, function calling, structured JSON output, context caching, batch API, LangChain, Vercel AI, or production features.
gemini-3-image-generation
Generate images with Gemini 3 Pro Image (Nano Banana Pro). Covers 4K generation, text rendering, grounded generation with Google Search, conversational editing, and cost optimization. Use when creating images, generating 4K images, editing images conversationally, fact-verified image generation, or image output tasks.
gemini-3-multimodal
Process multimodal inputs (images, video, audio, PDFs) with Gemini 3 Pro. Covers image understanding, video analysis, audio processing, document extraction, media resolution control, OCR, and token optimization. Use when analyzing images, processing video, transcribing audio, extracting PDF content, or working with multimodal data.
gemini-3-pro-api
Gemini 3 Pro API/SDK integration for text generation, reasoning, and chat. Covers setup, authentication, thinking levels, streaming, and production deployment. Use when working with Gemini 3 Pro API, Python SDK, Node.js SDK, text generation, chat applications, or advanced reasoning tasks.
gemini-auth
Setup and manage Gemini CLI authentication methods including OAuth, API keys, and Vertex AI. Use when configuring Gemini access, switching auth methods, or troubleshooting authentication issues.
gemini-chat
Interactive chat workflows with Gemini CLI including context management, multimodal conversations, and session persistence. Use for extended AI conversations, brainstorming, or collaborative problem-solving.
gemini-cli
Integrate Gemini AI CLI into Claude Code for AI collaboration, code analysis, and tool execution. Use when working with Gemini AI, Google AI, multimodal tasks, or needing advanced AI capabilities.
gemini-mcp
Manage MCP (Model Context Protocol) servers with Gemini CLI for extended tool capabilities, custom integrations, and enterprise workflows. Use when integrating external tools, databases, or APIs with Gemini.
gemini-tools
Execute and manage Gemini CLI built-in tools including file operations, web search, shell commands, and memory. Use for automated workflows, tool orchestration, and safe execution patterns.
handoff-coordinator
Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.
hooks-manager
Create, validate, and deploy Claude Code hooks for workflow automation. Hooks enable event-driven automation at 8 lifecycle points (PreToolUse, PostToolUse, UserPromptSubmit, etc.) with structured JSON control. Use when automating code formatting, security gates, observability integration, validation enforcement, or any event-driven workflow automation in Claude Code.
improvement-workflow
Complete continuous improvement cycle orchestrating review, analysis, learning extraction, systematic updates, and validation. Sequential workflow from comprehensive review through pattern analysis and learning extraction to improvement application and re-validation. Use when continuously improving skills, applying review findings, implementing systematic enhancements, or executing complete improvement cycles.
initializer-agent
First-session agent for autonomous coding projects. Use when starting a new autonomous project, generating feature lists, setting up environments, or scaffolding project structure.
karpenter-autoscaling
Karpenter for intelligent Kubernetes node autoscaling on EKS. Use when configuring node provisioning, optimizing costs with Spot instances, replacing Cluster Autoscaler, implementing consolidation, or achieving 20-70% cost savings.
kubernetes-python
Kubernetes Python client for programmatic cluster management. Use when working with Kubernetes API, managing pods, deployments, services, namespaces, configmaps, secrets, jobs, CRDs, EKS clusters, watching resources, automating K8s operations, or building Kubernetes controllers.
memory-manager
External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.
mobile-emulation
Mobile device emulation and responsive testing with Playwright. Use when testing mobile layouts, touch interactions, device-specific features, or responsive breakpoints.
momentum-keeper
Maintain development momentum and prevent project stalls through progress tracking, blocker resolution, quick wins identification, energy management, and continuation strategies. Task-based operations for detecting stalls, breaking through obstacles, maintaining forward progress, and ensuring completion. Use when progress stalling, facing blockers, losing energy, needing motivation, or ensuring project continuation to completion.
performance-testing
Performance testing with Lighthouse and Web Vitals integration in Playwright. Use when measuring page load times, Core Web Vitals, Lighthouse audits, or performance budgets.
multi-ai-code-review
Multi-perspective code review using Claude, Gemini, and Codex as specialized agents. 5-dimensional analysis (security, performance, maintainability, correctness, style) with LLM-as-judge consensus, quality scoring, and CI/CD integration. Use when reviewing PRs, auditing code quality, preparing production releases, or establishing code review workflows.
multi-ai-debugging
Systematic debugging using Claude, Gemini, and Codex as specialized agents. Multi-agent root cause analysis, log analysis, error classification, and auto-fix generation. Use when debugging production issues, analyzing error logs, performing root cause analysis, troubleshooting complex systems, or implementing self-healing patterns.
multi-ai-implementation
Production-ready code generation and incremental development using Explore-Plan-Code-Commit workflow. TDD-driven with <200 line changes, automatic rollback, and multi-agent coordination. Use when implementing features, refactoring code, migrating systems, or integrating components requiring rigorous testing and quality assurance.
multi-ai-planning
Create production-ready, agent-executable plans using verification-first approach, hierarchical decomposition, dependency mapping, and quality gates. Optional multi-AI research integration (Claude + Gemini + Codex). Use when planning complex features, migrations, refactorings, security implementations, or any multi-step agentic workflows requiring rigorous verification and parallel execution coordination.
multi-ai-research
Comprehensive research and analysis using Claude (subagents), Gemini CLI, and Codex CLI. Multi-perspective research with cross-verification, iterative refinement, and 100% citation coverage. Use for security analysis, architecture research, code quality assessment, performance analysis, or any research requiring rigorous verification and multiple AI perspectives.
multi-ai-skill-builder
Meta-skill for building Claude Code skills using Multi-AI research, planning, and implementation. Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production-ready skills. Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families.
multi-ai-testing
Test-driven development with independent verification to prevent test gaming. TDD workflows, test generation, coverage validation (≥80% gate, ≥95% target), property-based testing, edge case discovery. Use when implementing TDD workflows, generating comprehensive test suites, validating test coverage, or preventing test gaming through independent multi-agent verification.
multi-ai-verification
Multi-layer quality assurance with 5-layer verification pyramid (Rules → Functional → Visual → Integration → Quality Scoring). Independent verification with LLM-as-judge and Agent-as-a-Judge patterns. Score 0-100 with ≥90 threshold. Use when verifying code quality, security scanning, preventing test gaming, comprehensive QA, or ensuring production readiness through multi-layer validation.
observability-alert-manager
Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.
observability-analyzer
Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.
observability-control
Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.
observability-dashboard-creator
Create and manage Grafana dashboards for Claude Code observability. Use when importing pre-built dashboards or creating custom visualizations.
observability-pattern-detector
Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.
observability-railway-deploy
Deploy LGTM observability stack to Railway cloud. Use when deploying cloud-hosted observability with team access.
observability-stack-setup
Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.
planning-architect
Comprehensive skill development planning. Analyzes requirements, chooses organizational patterns (workflow/task/reference/capabilities), defines structure, estimates complexity, identifies dependencies, and creates detailed implementation plan. Use when planning new skills, converting documentation to skills, or architecting complex skill systems.
planning-workflow
Complete planning workflow orchestrating architecture planning, task breakdown, and progress tracking setup. Sequential workflow from requirements analysis through structure design and task breakdown to implementation tracking. Use when planning complex skills, setting up comprehensive project plans, or preparing for systematic skill development with full planning artifacts.
playwright-testing
Comprehensive Playwright E2E testing framework for browser automation. Use when setting up tests, writing E2E scenarios, debugging test failures, configuring CI/CD pipelines, or running browser automation on WSL2.
plugin-builder
Automate Claude Code plugin creation, packaging, validation, and distribution. Use when creating plugins, packaging skills, generating manifests, validating plugin structure, setting up marketplaces, or distributing skill collections.
process-optimizer
Optimize skill development processes through bottleneck identification, efficiency analysis, automation discovery, and workflow improvement. Task-based operations for process analysis, bottleneck elimination, automation opportunities, and workflow streamlining. Use when optimizing development processes, reducing cycle times, improving efficiency, or streamlining workflows based on system-reviewer findings.
progress-tracker
Track and report progress across autonomous coding sessions. Use when generating progress reports, calculating metrics, visualizing completion, or estimating time to completion.
project-observability-analyzer
Analyze projects and recommend observability integration. Use when adding observability to projects Claude Code works on.
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