DevOps

This skill provides direct access to Kubernetes pods for troubleshooting by searching pods with label selectors and executing diagnostic commands inside containers. It covers common scenarios like checking logs, processes, network connections, and resource usage. The documentation includes specific command examples for real-world issues like dubbo3 provider problems.

A comprehensive cloud-based AI swarm orchestration platform offering sophisticated workflow automation, multi-topology agent coordination, and event-driven execution with strong practical applications.

A Python-based tool for querying Hera log details with filters for space ID, store ID, tail name, and time range. Provides structured API access to log data with parameter validation and error handling. Useful for programmatic log analysis in specific infrastructure environments.

This skill provides Python functions to query and list APIs from a Gateway service. It supports filtering by environment (staging/online), keyword, and application names. It's a straightforward tool for developers and DevOps engineers to programmatically inspect API endpoints managed by a central gateway.

Automates release preparation for MassGen projects by generating CHANGELOG entries, announcement text, and validating documentation. Handles git operations, archives previous releases, suggests screenshots, and provides a release checklist. Specifically designed for projects following Keep a Changelog format.

Provides concrete optimization techniques for AgentDB vector databases, including quantization methods (binary, scalar, product) for 4-32x memory reduction and HNSW indexing for 150x faster search. Offers specific configuration recipes for different scale levels and use cases with measurable performance benchmarks.

This skill provides a detailed guide for managing releases of the WordPress ActivityPub plugin. It covers both major/minor and patch release workflows, including automated changelog generation via Jetpack Changelogger, version bumping, and GitHub release creation. It's a specialized tool for maintaining a specific open-source project.

This skill automates GitHub release workflows using AI swarm coordination. It handles version bumping, changelog generation, multi-stage testing, artifact building, and deployment orchestration. Includes rollback mechanisms, release checklists, and troubleshooting guides for common release failures.

This skill analyzes staged git changes to generate commit messages following Conventional Commits specification. It uses a three-tier format system that matches message detail to commit importance, from detailed documentation for critical features to concise messages for minor updates. The tool includes validation rules to block generic messages and provides security guidance for sensitive commits.

This skill manages Git operations for spec-driven development workflows. It creates branches with naming conventions, generates conventional commits, and creates pull requests with spec-based templates. It integrates with specification and implementation phases, handles uncommitted changes gracefully, and provides clear user prompts for workflow decisions.

This skill provides a systematic approach to performance analysis, covering measurement methodologies, bottleneck identification patterns, and capacity planning techniques. It emphasizes measuring before optimizing and offers concrete methods like USE/RED analysis, profiling hierarchies, and load testing strategies for diagnosing and improving system performance.

This skill enables remote control of tmux sessions for running interactive command-line tools. It provides scripts for sending keystrokes, capturing output, and managing multiple sessions in parallel. Useful for orchestrating coding agents or automating REPL interactions.