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Skills in this repository
SkillsMP has collected 55 skills from modu-ai/moai-studio. Open a skill to review its source and details.
modu-ai/moai-studioShowing 15 of 55 collected skills.
Ralph Engine - Automated feedback loop with LSP diagnostics and AST-grep integration for continuous code quality improvement. Use when implementing error-driven development, automated fixing, or continuous quality validation workflows.
Integrated project management system with documentation, language initialization, and template optimization modules. Use when setting up projects, generating documentation, configuring multilingual support, or optimizing templates.
Self-research workflow for optimizing moai-adk components through binary eval experimentation loops. Adapted from autoresearch pattern with 5-layer safety architecture.
SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development. Use when creating SPEC documents or defining acceptance criteria.
Test-Driven Development workflow specialist using RED-GREEN-REFACTOR cycle for test-first software development. Use when developing new features from scratch or when behavior specification drives implementation.
Template management system for code boilerplates, feedback templates, scaffolding, and project optimization workflows. Use when creating templates, generating boilerplate files, or managing scaffolding.
Comprehensive testing and development workflow specialist combining DDD testing, characterization tests, performance profiling, and quality assurance. Use when writing tests or measuring coverage.
Sequential Thinking MCP for structured step-by-step analysis via --deepthink flag. Separate from UltraThink which is Claude's native extended reasoning mode. Use for multi-step analysis or architecture decisions.
Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments.
Client discovery interview framework for AI Agency projects covering business objectives, audience analysis, brand context gathering, and structured question flows that adapt to user patterns over time.
Copy rules, tone, structure, and anti-patterns for AI Agency website content. Enforces brand voice consistency, section-level copy structure, and JSON output contracts for automated page generation workflows.
Visual design system patterns for AI Agency projects covering color palettes, typography, spacing, layout, and component design tokens. Enforces brand visual consistency and eliminates AI-generated design anti-patterns.
Quality evaluation criteria for AI Agency project output covering design quality, originality, completeness, and functionality scoring with weighted dimensions and Playwright-based testing requirements.
Frontend development patterns for AI Agency projects covering tech stack preferences, component architecture, file structure, and coding conventions. Self-evolves to match user's preferred frameworks and coding style.
AI Agency unified orchestrator for self-evolving creative production. Routes natural language or subcommands (brief, build, review, learn, evolve, resume, profile, sync-upstream, rollback, phase, config) to specialized agency agents for website and app…