autonomous-opus-loop
Autonomous Claude Code operation using Opus 4.5 for intelligent continuation decisions. Use when running long tasks, multi-step implementations, overnight development, or any workflow requiring continuous autonomous operation without human intervention.
autonomous-session-manager
Session lifecycle management for autonomous coding. Use when starting new coding sessions, resuming work, detecting session type (init vs continue), or managing auto-continuation between sessions.
bedrock-agentcore-deployment
Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.
bedrock-agentcore-evaluations
Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.
supabase-functions
Supabase Edge Functions development and deployment using Deno runtime. Use when creating serverless functions, webhooks, API endpoints, or scheduled tasks.
bedrock-agentcore-memory
Amazon Bedrock AgentCore Memory for persistent agent knowledge across sessions. Episodic memory for learning from interactions, short-term for session context. Use when building agents that remember user preferences, learn from conversations, or maintain context across sessions.
bedrock-agentcore-multi-agent
Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.
bedrock-agentcore-policy
Amazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool permissions, or compliance rules.
bedrock-agentcore
Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.
bedrock-agents
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
bedrock-automated-reasoning
Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy. Use when validating healthcare protocols, financial compliance, legal regulations, insurance policies, or any domain requiring deterministic verification of AI-generated content.
bedrock-fine-tuning
Amazon Bedrock Model Customization with fine-tuning, continued pre-training, reinforcement fine-tuning (NEW 2025 - 66% accuracy gains), and distillation. Create customization jobs, monitor training, deploy custom models, and evaluate performance. Use when customizing Claude, Titan, or other Bedrock models for domain-specific tasks, adapting to proprietary data, improving accuracy on specialized workflows, or distilling large models to smaller ones.
bedrock-flows
Build visual AI workflows with Amazon Bedrock Flows. Create flows with prompt nodes, knowledge bases, Lambda, inline code, condition branching, iterators, collectors, and DoWhile loops. Version management, aliases, deployment. Use when building multi-step AI workflows, orchestrating models and services, creating condition-based routing, implementing iterative processing, or deploying production AI pipelines.
bedrock-guardrails
Comprehensive Amazon Bedrock Guardrails implementation for AI safety with 6 safeguard policies (content filters, PII redaction, topic denial, word filters, contextual grounding, automated reasoning). Use when implementing content moderation, detecting prompt attacks, preventing hallucinations, protecting sensitive data, enforcing compliance policies, or securing generative AI applications with mathematical verification.
bedrock-inference
Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Use when invoking foundation models, building conversational AI, streaming model responses, optimizing token usage, or implementing runtime guardrails.
bedrock-knowledge-bases
Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.
bedrock-prompts
Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing prompt versions, implementing A/B testing for prompts, integrating prompts with Bedrock Flows, optimizing prompt engineering, or building production prompt catalogs.
codex-auth
Setup and manage OpenAI Codex CLI authentication including ChatGPT Plus/Pro OAuth, API keys, and multi-account management. Use when configuring Codex access, switching accounts, or troubleshooting authentication.
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.
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.
claude-computer-use-advanced
Advanced computer use patterns for UI automation, application control, and multi-step workflows using Claude's computer use tool. Use when automating desktop tasks, testing applications, analyzing screen content, controlling software programmatically, or building computer vision workflows. Supports zoom tool for enhanced vision on Opus 4.5, multi-step automation, and sophisticated application control.
claude-context-management
Comprehensive context management strategies for cost optimization and infinite-length conversations. Covers server-side clearing (tool results, thinking blocks), client-side SDK compaction (automatic summarization), and memory tool integration. Use when managing long conversations, optimizing token costs, preventing context overflow, or enabling continuous agentic workflows.
claude-cost-optimization
Comprehensive cost tracking and optimization for production Claude deployments. Covers Admin API usage tracking, efficiency measurement, ROI calculation, optimization patterns (caching, batching, model selection, context editing, effort parameter), and cost prediction. Use when tracking costs, optimizing token usage, measuring efficiency, calculating ROI, reducing production expenses, or implementing cost-effective Claude integrations.
claude-opus-4-5-guide
Comprehensive guide to Claude Opus 4.5, Anthropic's most intelligent model with effort parameter for reasoning control. Covers model capabilities, benchmarks, effort levels (high/medium/low), hybrid reasoning, and model selection. Use when working with Opus 4.5, optimizing reasoning depth, choosing models, or understanding effort parameter trade-offs.
code-server-remote-ide-wsl2
Setup secure VS Code IDE in browser with code-server on WSL2, accessible from mobile/tablet via ngrok/Cloudflare/Tailscale. Full IDE features with extension support, resource management, and performance optimization. Use when you need remote IDE access, VS Code in browser, remote development, or full coding environment on mobile/tablet.
codex-chat
Interactive REPL workflows with Codex CLI including session management, multimodal conversations, and automated execution. Use for extended development sessions, debugging, or collaborative problem-solving.
codex-cli
Integrate OpenAI Codex CLI into Claude Code for AI collaboration, code generation, and automated development. Use when working with OpenAI models (GPT-5.2, GPT-5.1-Codex-Max, o3, o4-mini), code refactoring, git workflows, or needing full automation with permission bypass.
codex-git
Git-aware development workflows with Codex CLI including intelligent commits, PR automation, branch management, and diff application. Use for git operations, PR reviews, or automated git workflows.
codex-review
Code review workflows with Codex CLI including automated reviews, diff analysis, and PR improvements. Use for code review, quality checks, or automated improvement suggestions.
codex-tools
Execute and manage Codex CLI tools including file operations, shell commands, web search, and automation patterns. Use for automated workflows, tool orchestration, and full automation with permission bypass.
coding-agent
Incremental development agent with TDD workflow. Use when implementing features one at a time, following test-driven development, making commits, or resuming development work.
component-testing
Isolated component testing for React, Vue, and Svelte with Playwright. Use when testing UI components in isolation, testing component interactions, or building component test suites.
context-compactor
Automatic context summarization for long-running sessions. Use when context is approaching limits, summarizing completed work, preserving critical information, or managing token budgets.
context-engineering
Optimize Claude Code context usage through monitoring, reduction strategies, progressive disclosure, planning/execution separation, and file-based optimization. Task-based operations for context window management, token efficiency, and maintaining conversation quality. Use when managing token costs, optimizing context usage, preventing context overflow, or improving multi-turn conversation quality.
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.
development-workflow
Complete end-to-end skill development workflow orchestrating research, planning, task breakdown, prompt design, and progress tracking. Use when building new Claude Code skills, creating workflow skills, or following systematic development process from concept to validated skill.
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.
eks-networking
EKS networking configuration including VPC CNI, load balancers, and network policies. Use when setting up cluster networking, configuring ingress/load balancing, implementing network security, troubleshooting connectivity, or optimizing network costs.
eks-observability
EKS observability with metrics, logging, and tracing. Use when setting up monitoring, configuring logging pipelines, implementing distributed tracing, building production dashboards, troubleshooting EKS issues, optimizing observability costs, or establishing SLOs.
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