Liatrio Labs
Official@liatrio-labs
Liatrio Labs Innovation Organization
Agent Skills by Liatrio Labs
Showing 10 vetted skills indexed across 2 GitHub repositories.
liatrio-labsbuild-review-md
Generate REVIEW.md configuration files from detected programming languages and frameworks.
liatrio-labsdeep-review
Orchestrate multi-agent code review with deterministic verification across the repository.
liatrio-labstilt-dev
Verify Tilt service status and retrieve logs for local development environments.
liatrio-labsgit-commit-conventional
Generate Conventional Commit messages and execute safe Git commits.
liatrio-labsbranch-surgery-pr-split
Split oversized branches into smaller reviewable PR stacks with safety refs.
liatrio-labsmastra-api
Interact with the Mastra development server API to debug agents and inspect threads.
liatrio-labsliatrio-brand-guidelines
Apply Liatrio brand guidelines to UI design and asset selection.
liatrio-labscreate-pull-request
Generate pull request titles and descriptions from git branch changes.
liatrio-labscreate-mermaid-diagrams
Generate, validate, and repair Mermaid diagrams using the mmdc CLI.
liatrio-labsuv-usage
Guide uv Python package manager workflows for dependencies and PEP 723 scripts.
Frequently Asked Questions About Liatrio Labs
FAQPage SchemaWhat specific engineering tasks does Liatrio Labs enable?▼
Liatrio Labs enables repository maintenance tasks including generating conventional commit messages, splitting oversized branches into manageable pull request stacks, and creating validated Mermaid diagrams. It also provides modules for managing package dependencies and verifying local service status within development environments.
Which personas benefit most from these engineering modules?▼
These modules are designed for software engineers, DevOps practitioners, and technical leads who prioritize repository hygiene and standardized development practices. They are particularly useful for teams managing high-velocity codebases that require consistent commit history, clear visual documentation, and streamlined pull request review cycles.
What are the prerequisites for implementing these modules?▼
Implementation requires a standard Git-based repository environment and familiarity with local development setups. Specific modules may require local installation of diagramming engines or package managers like uv to function correctly. Users should ensure their environment supports the underlying language frameworks detected by the configuration generators.