moai-alfred-practices

Manage JIT context for MoAI-ADK workflows with SPEC→TDD→Sync execution.

1|Updated Jul 28, 2025
One-click install
npx skills add https://github.com/kivo360/quickhooks --skill moai-alfred-practices
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: moai-alfred-practices
Source: https://github.com/kivo360/quickhooks/tree/main/.claude/skills/moai-alfred-practices
Command: npx skills add https://github.com/kivo360/quickhooks --skill moai-alfred-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides practical workflows, context-engineering strategies, and real-world execution examples for MoAI-ADK.

Core Features & Use Cases

  • JIT Context Retrieval: Load only necessary context
  • Explore Utilization: Efficient file hunting and discovery
  • SPEC → TDD → Sync: Clear execution sequence
  • Troubleshooting: Common patterns and fixes

Quick Start

Follow a 3-step workflow: plan SPEC, implement tests, sync docs.

Frequently Asked Questions about moai-alfred-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage context efficiently in large MoAI-ADK projects?

JIT context management loads only necessary information when needed, reducing overhead in large projects. This Skill provides strategies for context minimization through Explore-driven search and TAG-based traceability, letting you work with only relevant data at each stage.

What is the SPEC → TDD → Sync workflow and when should I use it?

SPEC → TDD → Sync is a three-step execution sequence: plan specifications, implement tests, then synchronize documentation. Use it for structured development in MoAI-ADK to ensure clarity between requirements, code, and living documentation.

How do I set up Alfred workflows for multi-agent collaboration?

Alfred workflows integrate with MoAI-ADK for multi-agent scenarios using context-engineering strategies. This Skill provides practical workflow templates and real-world examples for coordinating agents while maintaining minimal, traceable context.

What debugging patterns work best for MoAI-ADK agent workflows?

Common debugging patterns include TAG-based traceability to track execution flow and Explore-driven discovery to isolate issues. This Skill covers troubleshooting strategies and patterns tailored to agent-based tasks and context-engineering scenarios.

Can I use JIT retrieval to reduce context overhead in real-world task scenarios?

Yes. JIT context retrieval is designed for real-world task scenarios like Explore-driven search and multi-agent collaboration. By loading context on demand, you minimize overhead while maintaining full access to necessary information for each task stage.

What's the relationship between context engineering and workflow optimization?

Context engineering optimizes which information flows through your workflow at each step. Combined with Alfred workflows, it enables efficient file discovery, reduces cognitive load, and synchronizes documentation—essential for maintaining large projects.