Claude Skills by NeverSight

Auto-Claude debugging and troubleshooting guide. Use when fixing installation issues, debugging build failures, resolving agent errors, or diagnosing performance problems.

Auto-update system for Auto-Claude skills and documentation. Use when checking for updates, synchronizing with upstream, updating skills automatically, or managing version compatibility.

Auto-Claude workspace and git worktree management. Use when reviewing changes, merging builds, managing branches, or understanding isolation strategy.

Token and cost optimization for autonomous coding. Use when tracking token usage, optimizing API costs, managing budgets, or improving efficiency.

Main orchestration loop for autonomous coding. Use when running autonomous sessions, orchestrating feature completion, managing continuous loops, or coordinating agent lifecycle.

Master orchestrator for autonomous coding projects. Use when starting autonomous projects, continuing sessions, checking status, or running complete autonomous workflows.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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-based E2E testing for feature verification. Use when running end-to-end tests, validating features in browser, verifying user flows, or testing feature completion.

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 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.

State snapshots and rollback for safe experimentation. Use when creating checkpoints, rolling back changes, managing recovery points, or implementing safe experimentation.

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.

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.

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.

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.

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.

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.

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.

Code review workflows with Codex CLI including automated reviews, diff analysis, and PR improvements. Use for code review, quality checks, or automated improvement suggestions.

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.

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.

Automatic context summarization for long-running sessions. Use when context is approaching limits, summarizing completed work, preserving critical information, or managing token budgets.

State persistence across autonomous coding sessions. Use when saving progress, loading context, managing feature lists, tracking git history, or restoring session state.

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 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.

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 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.

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.

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 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.

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 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.

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.

Intelligent error detection and recovery for autonomous coding. Use when handling errors, implementing retry logic, recovering from failures, or managing exception handling.

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 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.

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.

Clean transitions between agents and sessions. Use when preparing handoffs, serializing state, bridging context between agents, or coordinating multi-agent workflows.