DevOps

A version control wrapper that learns from AI agent operations to suggest optimal workflows. It tracks trajectories, discovers patterns, and coordinates multiple agents without conflicts using quantum-resistant cryptography for integrity verification.

This skill enforces a rebase-first Git workflow with mandatory CI validation before PR creation. It provides concrete command examples for correct and forbidden patterns, ensuring linear history and ticket references in commits. The skill includes pre-PR checklists and QAS gate requirements for team consistency.

Provides detailed guidance for deploying containerized applications on Railway, covering Docker configuration, multi-service setups, persistent storage, and auto-scaling. Includes concrete examples for Node.js, Python, and Go deployments with practical CLI commands and configuration templates.

This skill provides detailed guidance for using the jira CLI tool to manage Jira issues, projects, and searches. It covers authentication, issue operations, JQL queries, transitions, and common workflows. The documentation includes practical examples for daily standups, bug triage, and sprint planning with clear command syntax.

Detects CPU, GPU, memory, and disk resources to provide data-driven recommendations for computational tasks. Outputs a JSON file with hardware specs and suggests appropriate libraries (Dask, PyTorch, etc.) based on available resources. Helps decide between parallel processing, GPU acceleration, or memory-efficient strategies before running intensive jobs.

This skill provides tmux-based orchestration for Gemini CLI when running in headless mode, enabling parallel execution and file writing capabilities through interactive terminal control. It includes status monitoring, loop detection, and workflow automation for AI-assisted coding tasks.

A comprehensive cloud-based AI swarm orchestration platform with detailed workflow automation capabilities, though dependent on external service and lacking concrete implementation details.

Automates GitHub issue triage for MultiQC module requests by calculating priority scores based on tool popularity, community engagement, and technical feasibility. Integrates with GitHub workflows to label issues, post analysis comments, and update project boards. Handles multiple operation modes including single analysis, batch processing, and dry runs.

Provides detailed guidance for using GitHub CLI (gh) for repository operations, pull requests, issues, workflows, and codespaces. It includes clear safety rules prohibiting destructive commands, comprehensive command examples, and practical tips for automation. The skill focuses on safe, reversible operations and helps users avoid common pitfalls.

A CLI tool for analyzing Claude Flow swarm performance, detecting bottlenecks in communication, processing, memory, and network. Provides actionable recommendations and can auto-fix issues. Includes real-time profiling, report generation, and CI/CD integration with JSON/HTML outputs.

A comprehensive framework for implementing quality gates and approval workflows in multi-agent systems, providing battle-tested patterns for iterative refinement and user validation.

A comprehensive Tilt management skill with excellent documentation on automatic reload behaviors and tmux integration for persistent development environments.