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Found 6,992 Skills
Phase coordination, agent handoffs, and workflow state machine management
Working with GitHub Pull Requests using the gh CLI. Use for fetching PR details, review comments, CI status, and understanding the difference between PR-level comments vs inline code review comments.
This skill should be used when users need help designing content workflows, creating process documentation, implementing automation rules, designing approval processes, or optimizing content pipelines. It activates when users ask about workflow design, process documentation, automation, approval workflows, or content pipeline optimization.
Test-Driven Development workflow with session integration. Use when implementing features/bugfixes to enforce RED-GREEN-REFACTOR discipline. Integrates with session-management for enhanced TDD session tracking, checkpoints, and metrics.
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
Unified command interface for the autonomous idea intake workflow system
Project future tax obligations and cash flow requirements based on historical transaction patterns
Template management system for code boilerplates, feedback templates, scaffolding, and project optimization workflows. Use when creating code templates, generating boilerplate files, managing project scaffolding, optimizing template performance, or preparing GitHub issue templates. Do NOT use for SPEC document creation (use moai-workflow-spec instead) or documentation generation (use moai-workflow-project instead).
Sequential Thinking MCP and UltraThink mode for deep analysis, complex problem decomposition, and structured reasoning workflows. Use when performing multi-step analysis, architecture decisions, technology selection trade-offs, breaking change assessment, or when --ultrathink flag is specified. Do NOT use for simple decisions or straightforward implementation tasks.
Build and train neural networks with TensorFlow
Complete quality assurance workflow orchestrating validation, comprehensive review, and functional testing. Sequential workflow from quality gating through multi-dimensional review to scenario testing. Use when conducting complete skill quality assurance, pre-deployment validation, or comprehensive quality checks combining multiple review approaches.
Create efficient data pipelines with tf.data