ac-handoff-creator
Create handoff packages for session transitions. Use when ending sessions, preparing for continuation, saving session state, or creating resumable context.
ac-feature-analyzer
Analyze features and their dependencies. Use when mapping feature relationships, detecting blockers, optimizing build order, or identifying critical paths.
ac-criteria-validator
Validate acceptance criteria and feature completion. Use when checking if features pass, validating test results, verifying acceptance criteria, or determining feature completion status.
ac-context-optimizer
Optimize context usage for autonomous coding. Use when managing context window, prioritizing information, reducing token usage, or improving efficiency.
ac-context-compactor
Manage and compact context for long sessions. Use when context is filling up, creating handoff summaries, optimizing context usage, or preparing for session continuation.
ac-config-manager
Configuration management for autonomous coding. Use when loading settings, managing environment variables, configuring providers, or setting up autonomous mode options.
context-state-tracker
State persistence across autonomous coding sessions. Use when saving progress, loading context, managing feature lists, tracking git history, or restoring session state.
ecs-deployment
ECS deployment strategies including rolling updates, blue-green with CodeDeploy, canary releases, and GitOps workflows. Covers deployment circuit breakers, rollback strategies, and production deployment patterns. Use when deploying ECS services, implementing blue-green deployments, setting up CI/CD pipelines, or managing production releases.
ecs-fargate
AWS Fargate serverless container compute for ECS. Covers Fargate vs EC2 decision guide, CPU/memory sizing, platform versions, Fargate Spot cost optimization, Graviton/ARM architecture, networking, and EFS integration. Use when deploying serverless containers, optimizing Fargate costs, sizing Fargate tasks, or choosing between Fargate and EC2 launch types.
ecs-troubleshooting
ECS troubleshooting and debugging guide covering task failures, service issues, networking problems, and performance diagnostics. Use when diagnosing ECS issues, debugging task failures (STOPPED, PENDING), resolving networking problems, investigating IAM/permissions errors, troubleshooting container health checks, or analyzing ECS service health.
eks-irsa
IAM Roles for Service Accounts (IRSA) for EKS pod-level AWS permissions. Use when configuring pod IAM access, setting up AWS service integrations, implementing least-privilege security, troubleshooting OIDC trust relationships, or deploying AWS controllers.
parallel-agent-spawner
Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.
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.
observability-dashboard-creator
Create and manage Grafana dashboards for Claude Code observability. Use when importing pre-built dashboards or creating custom visualizations.
observability-control
Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.
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-alert-manager
Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.
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.
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-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.
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.
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.
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.
observability-stack-setup
Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.
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.
project-skill-builder
Create project-specific Claude Code skills tailored to particular codebases, domains, or organizations. Workflow for analyzing project context, identifying skill opportunities, designing project-specific patterns, and building custom skills. Use when creating skills for specific projects, capturing project knowledge, building team-specific workflows, or developing domain-specific skill toolkits.
prompt-builder
Build effective prompts for Claude Code skills. Creates clear, specific, actionable prompts using engineering principles, templates, and validation. Use when creating skill instructions, workflow steps, task operations, or any Claude prompt.
railway-api
Railway.com GraphQL API automation for projects, services, deployments, and environment variables. Use when automating Railway operations, querying project data, managing deployments, setting variables via API, or integrating Railway into workflows.
railway-auth
Railway authentication and token management. Use when logging into Railway, creating API tokens, setting up CI/CD authentication, or verifying Railway credentials.
railway-automation
Railway CI/CD integration and automation. Use when setting up GitHub Actions, GitLab CI, automated deployments, migration scripts, or programmatic Railway workflows.
railway-deployment
Comprehensive Railway.com deployment management for GitHub, Docker, and local sources. Use when deploying to Railway, redeploying services, rolling back deployments, monitoring deployment status, managing staging/production deployments, or verifying deployment health.
railway-logs
Railway log access and analysis for debugging and monitoring. Covers build logs, deploy logs, runtime logs, HTTP logs, filtering, search, and external export. Use when viewing logs, debugging Railway deployments, investigating errors, analyzing HTTP requests, filtering log output, or exporting logs to external systems.
railway-observability
Railway.com built-in metrics, monitoring dashboards, alerting (Pro plan), and external OTEL integration with Grafana. Use when setting up monitoring, creating dashboards, configuring alerts, integrating Prometheus/Loki/Tempo, deploying Grafana stack, or analyzing Railway service metrics.
best-practices-learner
Extract learnings and best practices from skill development experience, review findings, and pattern analysis. Task-based operations for pattern extraction, learning documentation, guideline updates, knowledge sharing, and continuous improvement. Use when extracting learnings from completed skills, updating best practices, improving development process, or feeding continuous improvement cycle.
boto3-ecs
AWS Boto3 SDK patterns for Amazon ECS cluster management, task definitions, services, and Fargate deployments. Use when working with ECS clusters, managing task definitions, deploying services, running one-off tasks, monitoring deployments, or integrating ECS with Python applications.
boto3-eks
AWS Boto3 SDK patterns for Amazon EKS cluster management, node groups, authentication tokens, and Kubernetes client integration. Use when working with EKS clusters, managing node groups, generating kubeconfig, creating authentication tokens, integrating Kubernetes Python client, managing Fargate profiles, or implementing IRSA authentication.
browser-e2e-tester
Browser-based E2E testing for feature verification. Use when running end-to-end tests, validating features in browser, verifying user flows, or testing feature completion.
browser-use-integration
Self-hosted AI browser automation using Browser Use with any LLM (Claude, GPT, Ollama). Use when building web scraping agents, data extraction pipelines, self-hosted automation, or when you need flexibility without API rate limits.
cdk8s-apps
CDK8s for type-safe Kubernetes manifests using Python. Use when building complex K8s applications programmatically, generating manifests from code, creating reusable infrastructure patterns, or managing multi-environment deployments.
checkpoint-manager
State snapshots and rollback for safe experimentation. Use when creating checkpoints, rolling back changes, managing recovery points, or implementing safe experimentation.
observability-railway-deploy
Deploy LGTM observability stack to Railway cloud. Use when deploying cloud-hosted observability with team access.
claude-advanced-tool-use
Advanced tool use patterns including tool search, programmatic calling, and production orchestration. Use when scaling to 10,000+ tools, optimizing token usage, or implementing production tool systems.
claude-code-telemetry-enable
Enable and configure Claude Code OTEL telemetry for local or Railway observability stacks. Use when setting up Claude Code to send metrics, logs, and traces to observability backends.
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