moai

name	moai
description	MoAI super agent - unified orchestrator for autonomous development. Routes natural language or explicit subcommands (plan, run, sync, fix, loop, mx, project, feedback, review, clean, codemaps, coverage, e2e) to specialized agents. Use for any development task from planning to deployment.
allowed-tools	Task, AskUserQuestion, TaskCreate, TaskUpdate, TaskList, TaskGet, Bash, Read, Write, Edit, Glob, Grep
argument-hint	[subcommand] [args] | "natural language task"

Pre-execution Context

!git status --porcelain 2>/dev/null || true !git branch --show-current 2>/dev/null || true

Essential Files

@.moai/config/config.yaml

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Authority References

Rules and constraints governing all workflows are always loaded from these sources. Do NOT duplicate their content here:

• Core identity, orchestration principles, agent catalog: @CLAUDE.md
• Quality gates, security boundaries: @.claude/rules/moai/core/moai-constitution.md
• SPEC workflow phases, token budgets: @.claude/rules/moai/workflow/spec-workflow.md
• Development methodologies (DDD/TDD): @.claude/rules/moai/workflow/workflow-modes.md
• Agent definitions: See CLAUDE.md Section 4. For agent creation, use builder-agent subagent.
• @MX tag rules and protocol: @.claude/rules/moai/workflow/mx-tag-protocol.md

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Intent Router

Raw User Input

$ARGUMENTS

Routing Instructions

[HARD] Route the Raw User Input above using the strict priority order below. Extract the FIRST WORD of the input for subcommand matching. All text after the subcommand keyword is CONTEXT to be passed to the matched workflow — it is NOT a routing signal and MUST NOT influence which workflow is selected.

Execution Mode Flags (mutually exclusive)

• --team: Force Agent Teams mode for parallel execution
• --solo: Force sub-agent mode (single agent per phase)
• No flag: System auto-selects based on complexity thresholds (domains >= 3, files >= 10, or complexity score >= 7)

When no flag is provided, the system evaluates task complexity and automatically selects between team mode (for complex, multi-domain tasks) and sub-agent mode (for focused, single-domain tasks).

Priority 1: Explicit Subcommand Matching

[HARD] Extract the FIRST WORD from the Raw User Input section above. If it matches any subcommand below (or its alias), route to that workflow IMMEDIATELY. Do NOT analyze the remaining text for routing — it is context for the matched workflow:

• plan (aliases: spec): SPEC document creation workflow
• run (aliases: impl): DDD/TDD implementation workflow (per quality.yaml development_mode)
• sync (aliases: docs, pr): Documentation synchronization and PR creation
• project (aliases: init): Project documentation generation
• feedback (aliases: fb, bug, issue): GitHub issue creation
• fix: Auto-fix errors in a single pass
• loop: Iterative auto-fix until completion marker detected
• mx: MX tag scan and annotation for codebase
• review (aliases: code-review): Code review with security and MX tag compliance
• clean (aliases: dead-code): Identify and safely remove dead code
• codemaps: Generate architecture documentation in .moai/project/codemaps/
• coverage (aliases: cov): Analyze test coverage and generate missing tests
• e2e (aliases: e2e-test): Create and run E2E tests
• context (aliases: ctx, memory): Extract and display git-based context memory

Priority 2: SPEC-ID Detection

Only if Priority 1 did not match: Check if the Raw User Input contains a pattern matching SPEC-XXX (such as SPEC-AUTH-001). If found, route to the run workflow automatically. The SPEC-ID becomes the target for DDD/TDD implementation.

Priority 3: Natural Language Classification

Only if BOTH Priority 1 AND Priority 2 did not match: Classify the intent of the ENTIRE Raw User Input as natural language. This priority is NEVER reached when the first word matches a known subcommand.

• Planning and design language (design, architect, plan, spec, requirements, feature request) routes to plan
• Error and fix language (fix, error, bug, broken, failing, lint) routes to fix
• Iterative and repeat language (keep fixing, until done, repeat, iterate, all errors) routes to loop
• Documentation language (document, sync, docs, readme, changelog, PR) routes to sync or project
• Feedback and bug report language (report, feedback, suggestion, issue) routes to feedback
• MX tag language (mx tag, annotation, code context, legacy annotate) routes to mx
• Implementation language (implement, build, create, add, develop) with clear scope routes to moai (default autonomous)

Priority 4: Default Behavior

If the intent remains ambiguous after all priority checks, use AskUserQuestion to present the top 2-3 matching workflows and let the user choose.

If the intent is clearly a development task with no specific routing signal, default to the moai workflow (plan -> run -> sync pipeline) for full autonomous execution.

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Workflow Quick Reference

plan - SPEC Document Creation

Purpose: Create comprehensive specification documents using EARS format with Research-Plan-Annotate cycle. Phases: Deep Research (research.md) -> SPEC Planning -> Annotation Cycle (1-6 iterations) -> SPEC Creation Agents: manager-spec (primary), Explore (research), manager-git (conditional) Flags: --worktree, --branch, --resume SPEC-XXX, --team For detailed orchestration: Read workflows/plan.md

run - DDD/TDD Implementation

Purpose: Implement SPEC requirements through configured development methodology. Agents: manager-strategy, manager-ddd or manager-tdd (per quality.yaml), manager-quality, manager-git Flags: --resume SPEC-XXX, --team For detailed orchestration: Read workflows/run.md

sync - Documentation Sync and PR

Purpose: Synchronize documentation with code changes and prepare pull requests. Agents: manager-docs (primary), manager-quality, manager-git Modes: auto, force, status, project. Flags: --merge, --skip-mx For detailed orchestration: Read workflows/sync.md

fix - Auto-Fix Errors

Purpose: Autonomously detect and fix LSP errors, linting issues, and type errors. Agents: expert-debug (diagnosis), expert-backend/expert-frontend (fixes) Flags: --dry, --sequential, --level N, --resume, --team For detailed orchestration: Read workflows/fix.md

loop - Iterative Auto-Fix

Purpose: Repeatedly fix issues until completion marker detected or max iterations reached. Agents: expert-debug, expert-backend, expert-frontend, expert-testing Flags: --max N, --auto-fix, --seq For detailed orchestration: Read workflows/loop.md

mx - MX Tag Scan and Annotation

Purpose: Scan codebase and add @MX code-level annotations for AI agent context. Agents: Explore (scan), expert-backend (annotation) Flags: --all, --dry, --priority P1-P4, --force, --team For detailed orchestration: Read workflows/mx.md

review - Code Review

Purpose: Multi-perspective code review with security, performance, quality, and UX analysis. Agents: manager-quality (primary), expert-security Flags: --staged, --branch, --security, --team For detailed orchestration: Read workflows/review.md (team mode: team/review.md)

clean - Dead Code Removal

Purpose: Identify and safely remove unused code with test verification. Agents: expert-refactoring, expert-testing Flags: --dry, --safe-only, --file PATH For detailed orchestration: Read workflows/clean.md

codemaps - Architecture Documentation

Purpose: Scan codebase and generate architecture documentation. Agents: Explore, manager-docs Flags: --force, --area AREA For detailed orchestration: Read workflows/codemaps.md

coverage - Test Coverage Analysis

Purpose: Analyze test coverage gaps and generate missing tests. Agents: expert-testing Flags: --target N, --file PATH, --report For detailed orchestration: Read workflows/coverage.md

e2e - End-to-End Testing

Purpose: Create and run E2E tests using Chrome, Playwright, or Agent Browser. Agents: expert-testing, expert-frontend Flags: --record, --url URL, --journey NAME For detailed orchestration: Read workflows/e2e.md

(default) - MoAI Autonomous Workflow

Purpose: Full autonomous research -> plan -> annotate -> run -> sync pipeline. Phases: Parallel Exploration (research.md) -> SPEC Generation -> Annotation Cycle -> Implementation -> Sync Agents: Explore, manager-spec, manager-ddd/tdd, manager-quality, manager-docs, manager-git Flags: --loop, --max N, --branch, --pr, --resume SPEC-XXX, --team, --solo For detailed orchestration: Read workflows/moai.md

project - Project Documentation

Purpose: Generate project documentation by analyzing the existing codebase. Agents: Explore, manager-docs, expert-devops (optional) Output: product.md, structure.md, tech.md in .moai/project/ For detailed orchestration: Read workflows/project.md

context - Git-Based Context Memory

Purpose: Extract AI-developer interaction context from git commit history for session continuity. Agents: manager-git (primary) Flags: --spec SPEC-XXX, --days N, --category CAT, --summary, --inject For detailed orchestration: Read workflows/context.md

feedback - GitHub Issue Creation

Purpose: Collect user feedback and create GitHub issues. Agents: manager-quality For detailed orchestration: Read workflows/feedback.md

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Execution Directive

When this skill is activated, execute the following steps in order:

Step 1 - Parse Arguments: Extract subcommand keywords and flags from the Raw User Input. Recognized global flags: --resume [ID], --seq, --ultrathink, --team, --solo. When --ultrathink is detected, activate Sequential Thinking MCP for deep analysis before execution.

Step 2 - Route to Workflow: Apply the Intent Router (Priority 1 through Priority 4) to determine the target workflow. If ambiguous, use AskUserQuestion to clarify with the user.

Step 2.5 - Project Documentation Check: Before executing plan, run, sync, fix, loop, or default workflows, verify project documentation exists by checking for .moai/project/product.md. If product.md does NOT exist, use AskUserQuestion to ask the user (in their conversation_language):

Question: Project documentation not found. Would you like to create it first? Options:

• Create project documentation (Recommended): Generates product.md, structure.md, tech.md through a guided interview. This helps MoAI understand your project context for better results in all subsequent workflows.
• Skip and continue: Proceed without project documentation. MoAI will have less context about your project.

This check does NOT apply to: project, feedback subcommands.

[HARD] Beginner-Friendly Option Design: All AskUserQuestion calls throughout MoAI workflows MUST follow these rules:

• The first option MUST always be the recommended choice, clearly marked with "(Recommended)" suffix
• Every option MUST include a detailed description explaining what it does and its implications

Step 3 - Load Workflow Details: Read the corresponding workflows/.md file for detailed orchestration instructions.

Step 4 - Read Configuration: Load relevant configuration from .moai/config/config.yaml and section files as needed.

Step 5 - Initialize Task Tracking: Use TaskCreate to register discovered work items with pending status.

Step 6 - Execute Workflow Phases: Follow the workflow-specific phase instructions. Delegate all implementation to appropriate agents via Agent(). Collect user approvals at designated checkpoints via AskUserQuestion.

Step 7 - Track Progress: Update task status using TaskUpdate as work progresses (pending to in_progress to completed).

Step 8 - Present Results: Display results to the user in their conversation_language using Markdown format.

Step 9 - Add Completion Marker: When all workflow phases complete successfully, add the appropriate completion marker (<moai>DONE</moai> or <moai>COMPLETE</moai>).

Step 10 - Guide Next Steps: Use AskUserQuestion to present the user with logical next actions based on the completed workflow.

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Version: 2.6.0 Last Updated: 2026-02-25