DevOps

A comprehensive advanced swarm orchestration skill providing sophisticated patterns for distributed research, development, and testing workflows with clear architectural guidance.

A version control wrapper that enables multiple AI agents to work on code simultaneously without conflicts. It learns from past operations to suggest patterns and includes quantum-resistant security features. The tool tracks agent trajectories and provides success rate predictions for similar tasks.

An ambitious GitHub project management skill that integrates swarm coordination for automated issue tracking and project board management, offering advanced automation but with complex dependencies.

A comprehensive and well-structured guide for maintaining AI model registries with clear workflows, practical examples, and integration with existing systems like LiteLLM.

This skill provides a structured 7-step process for diagnosing service issues using Prometheus metrics. It queries CPU, memory, load, and JVM heap metrics, then analyzes the results to identify potential problems. The instructions include specific PromQL queries and example outputs with interpretations.

Provides concrete strategies for deploying Node.js apps to AWS Elastic Beanstalk, focusing on dependency installation patterns. Solves monorepo workspace issues by explaining when to bundle node_modules versus letting EB install dependencies. Includes verification steps and troubleshooting for common deployment failures.

Provides detailed guidance on designing CI/CD pipelines, covering architecture stages, deployment strategies like blue-green and canary, and platform-specific patterns for GitHub Actions and GitLab CI. Includes concrete examples for quality gates, rollback mechanisms, and security integration.

Analyzes GitHub repositories to assess structure, documentation, dependencies, and contribution patterns. Provides health reports with specific recommendations like adding missing files or updating outdated dependencies.

A well-structured and practical skill for managing Python virtual environments with clear workflows, robust error handling, and systematic checkpoints.

A comprehensive technical SEO audit skill with structured methodology covering crawlability, indexability, Core Web Vitals, and schema markup with clear output format.

Provides automated code quality verification with truth scoring (0.0-1.0 scale) and automatic rollback when scores fall below a configurable threshold (default 0.95). Integrates with CI/CD pipelines, offers real-time monitoring dashboards, and includes pre-commit hooks for preventing low-quality code from being committed.

This skill provides a structured checklist for software releases that prevents retagging by enforcing pre-release verification. It focuses on Go projects with goreleaser, requiring local CI passes before tagging. The approach catches common issues like incorrect build paths and missing tests.