moonbit-agent-guide
Expert guide for MoonBit development, including project scaffolding, modular layout, build tooling, and testing best practices.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
175 skills found
Expert guide for MoonBit development, including project scaffolding, modular layout, build tooling, and testing best practices.
Expert consultant for designing and building high-quality, consistent AI agent skills. Guides you through discovery, architecture, and creation phases to ensure reliable, composable, and efficient skill delivery.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
A professional workflow and component library for industrial-grade UI design using Pencil MCP, featuring standardized tokens for color, typography, spacing, and shadows.
Standardize repo commands with justfiles. Define, organize, and document cross-platform workflows, aliases, and automation tasks to create a single source of truth for repository operations.
Automates the creation of Betty Framework skills by scaffolding directory structures, generating YAML manifests, and handling registry registration.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Fetch and aggregate latest Rust community news, including official blog updates, ecosystem developments, and Rust Foundation reports.
Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.