HiveMQ - Enterprise MQTT Platform
Official@hivemq
Enterprise MQTT platform engineering support for documentation integrity, quality assurance, and pull request lifecycle management.
Agent Skills by HiveMQ - Enterprise MQTT Platform
Showing 9 vetted skills indexed across 1 GitHub repositories.
hivemqcreate-blogpost
Generate four-section blog posts and release notes for non-technical readers.
hivemqcapture-screenshots
Automates Cypress UI-state screenshot capture for PRs, docs, blogs with defined naming and storage locations.
hivemqdocs-security-scan
Scan documentation directories for secrets and credentials in pre-commit hooks and CI pipelines.
hivemqpre-review
Analyze git diffs to detect critical issues and test coverage gaps.
hivemqtrace-error-messages
Trace error origins across OpenAPI contracts, React Query hooks, MSW mocks, and UI components.
hivemqtechnical-doc-review
Identify style and structural issues in HiveMQ Edge Markdown documentation.
hivemqsonarqube
Fetch SonarQube quality metrics for pull requests and generate Markdown reports.
hivemqcreate-pr
Generate user-focused PR descriptions with Linear ticket references and screenshot prompts.
hivemqdebug-cypress
Diagnose Cypress test failures by locating failing selectors and assertions.
Frequently Asked Questions About HiveMQ - Enterprise MQTT Platform
FAQPage SchemaWhat specific tasks are enabled by these engineering capabilities?▼
These capabilities enable automated documentation security scanning, quality metric reporting via SonarQube, and diagnostic tracing of error messages across OpenAPI contracts and React components. They further support the maintenance of Cypress test suites and the generation of structured pull request documentation.
Which personas benefit from these technical capabilities?▼
These capabilities are designed for software engineers, technical writers, and quality assurance specialists working within the HiveMQ ecosystem. They specifically assist developers managing MQTT-based infrastructure by streamlining code reviews, documentation audits, and frontend testing cycles.
What are the prerequisites for implementing these diagnostic functions?▼
Implementation requires an existing environment utilizing Cypress for frontend testing, SonarQube for quality gate monitoring, and OpenAPI specifications for contract definitions. Additionally, integration with Linear is necessary for the automated generation of pull request descriptions and ticket referencing.