Claude Skills by NeverSight

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.

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.

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 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 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.

External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.

Mobile device emulation and responsive testing with Playwright. Use when testing mobile layouts, touch interactions, device-specific features, or responsive breakpoints.

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.

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.

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.

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.

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.

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.

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.

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-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.

Configure Grafana alerts for Claude Code anomalies and thresholds. Use when setting up monitoring alerts for sessions, errors, context usage, or subagents.

Manage observability stack lifecycle (start, stop, backup, restore, upgrade). Use when controlling the LGTM stack for Claude Code monitoring.

Create and manage Grafana dashboards for Claude Code observability. Use when importing pre-built dashboards or creating custom visualizations.

Deploy LGTM observability stack to Railway cloud. Use when deploying cloud-hosted observability with team access.

Automated LGTM + Alloy observability stack deployment using Docker Compose. Use when setting up Claude Code observability infrastructure locally.

Spawn and coordinate parallel agents for faster completion. Use when running parallel tasks, spawning subagents, coordinating concurrent work, or optimizing throughput.

Performance testing with Lighthouse and Web Vitals integration in Playwright. Use when measuring page load times, Core Web Vitals, Lighthouse audits, or performance budgets.

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.

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.

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.

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.

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.

Track and report progress across autonomous coding sessions. Use when generating progress reports, calculating metrics, visualizing completion, or estimating time to completion.

Analyze projects and recommend observability integration. Use when adding observability to projects Claude Code works on.

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.

Railway authentication and token management. Use when logging into Railway, creating API tokens, setting up CI/CD authentication, or verifying Railway credentials.

Railway CI/CD integration and automation. Use when setting up GitHub Actions, GitLab CI, automated deployments, migration scripts, or programmatic Railway workflows.

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 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.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.

Comprehensive Railway.com project, environment, and variable management. Use when creating Railway projects, managing environments, configuring services, setting variables, syncing environments, managing PR environments, or organizing Railway infrastructure.

Railway debugging and issue resolution. Use when deployments fail, builds error, services crash, performance degrades, or networking issues occur.

Master orchestrator for generating Ralph Wiggum-compatible prompts. Analyzes task requirements and routes to appropriate generator (single-task, multi-task, project, or research). Use when you need to create any Ralph loop prompt and want automatic selection of the right generator.

Self-improving review loop for Ralph Wiggum skills. Reviews skills against best practices, implements improvements, and continues until two consecutive clean reviews. Use when validating or improving the ralph-prompt-* skill suite.

Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement recommendations. Use when reviewing skills, ensuring quality, validating production readiness, identifying improvements, or conducting quality assurance.

Complete quality assurance workflow orchestrating validation, comprehensive review, and functional testing. Sequential workflow from quality gating through multi-dimensional review to scenario testing. Use when conducting complete skill quality assurance, pre-deployment validation, or comprehensive quality checks combining multiple review approaches.

Secure command execution with allowlists and validation hooks. Use when validating bash commands, configuring security policies, implementing pre-tool-use hooks, or sandboxing autonomous agent operations.

Universal guide for creating production-ready Claude Code skills for any project. Includes 6-step workflow (understand, plan, initialize, edit, package, iterate), progressive disclosure design, YAML frontmatter templates, validation scripts, reference organization patterns, and 10 community-proven innovations. Use when creating new Claude Code skills, converting documentation to skills, improving existing skills, or learning skill development best practices for any domain.

Track skill changes, improvements, and evolution over time. Task-based operations for version tracking, change documentation, impact measurement, and evolution analysis. Use when tracking skill versions, documenting changes over time, measuring improvement impact, or analyzing how skills evolved.

Complete feedback loop from observability insights to skill updates. Use when analyzing enhanced telemetry patterns and automatically improving skills.

Comprehensive research toolkit for discovering patterns, best practices, and technical knowledge across Web search, MCP servers, GitHub repositories, and documentation. Use when researching technologies, exploring codebases, finding examples, or gathering requirements for skill development.

Identify improvement opportunities in Claude Code skills through targeted review operations. Complements review-multi by focusing on actionable improvements rather than scoring. Use when seeking specific improvements, conducting improvement-focused reviews, or identifying enhancement opportunities for existing skills.

Test Claude Code skills in real-world scenarios to validate functionality, usability, and effectiveness. Task-based testing operations for scenario testing, example validation, integration testing, and usability assessment. Use when testing skill functionality, validating examples work correctly, ensuring real-world effectiveness, or conducting scenario-based quality assurance.

Apply improvements to Claude Code skills systematically. Workflow for planning updates, implementing changes, validating improvements, and documenting changes. Use when applying review recommendations, updating skills based on feedback, enhancing existing skills, or implementing systematic improvements across multiple skills.