moai-alfred-agent-factory
Agent Factory Intelligence Engine
Master Skill for Intelligent Agent Generation
Complete reference for agent-factory agent to automatically generate production-ready Claude Code sub-agents through requirement analysis, research, template generation, and validation.
Version: 1.0.0 Status: Production Ready Components: 6 core systems + advanced features
π― Quick Start: The 6 Core Components
| Component | Location | Purpose |
|---|---|---|
| Intelligence Engine | reference/intelligence-engine.md | Analyze requirements β domain/capabilities/complexity |
| Research Engine | reference/research-engine.md | Context7 MCP workflow β fetch docs β extract practices |
| Template System | reference/template-system.md | 3-tier templates (Simple/Standard/Complex) + variables |
| Validation Framework | reference/validation-framework.md | 4 quality gates + test cases |
| Advanced Features | reference/advanced-features.md | Versioning, multi-domain, optimization |
| Practical Examples | examples.md | 3 main test cases + edge cases |
π Agent Generation Workflow
User Requirement
β
[Stage 1-2] Intelligence Engine
ββ Parse requirement
ββ Detect domain (primary + secondary)
ββ Score complexity (1-10)
ββ Select model (Sonnet/Haiku/Inherit)
ββ Calculate tools & skills
β
[Stage 3] Research Engine (Context7 MCP)
ββ Resolve libraries
ββ Fetch documentation
ββ Extract best practices
ββ Synthesize evidence
β
[Stage 4-5] Template System
ββ Select template tier (1-3)
ββ Generate agent markdown
ββ Apply variable substitution
β
[Stage 6] Validation Framework
ββ Gate 1: YAML syntax
ββ Gate 2: Structure completeness
ββ Gate 3: Content quality
ββ Gate 4: TRUST 5 + Claude Code v4.0
β
Production-Ready Agent β
π Understanding Each Component
Intelligence Engine
Responsible for: Requirement analysis and decision making
Key Algorithms:
- Requirement Analysis: Extract domain, capabilities, complexity
- Domain Detection: Primary + secondary domains with confidence
- Complexity Scoring: 1-10 scale for model selection
- Model Selection: Sonnet/Haiku/Inherit decision tree
- Tool Calculator: Minimum necessary permissions
- Skill Recommender: Match to 128+ MoAI-ADK skills
See: reference/intelligence-engine.md
Research Engine
Responsible for: Fetching official documentation and best practices
Key Workflows:
- Library Resolution: Convert domain β Context7 library IDs
- Documentation Fetch: Pull official docs from Context7 MCP
- Best Practice Extraction: Identify actionable patterns
- Pattern Identification: Architectural patterns for domain
- Quality Validation: Ensure research meets 70%+ threshold
- Evidence Synthesis: Consolidate into recommendations
- Fallback Strategy: WebFetch if Context7 unavailable
See: reference/research-engine.md
Template System
Responsible for: Generating agent markdown with correct structure
Key Components:
- Tier 1 (Simple): ~200 lines, Haiku, <5 min generation
- Tier 2 (Standard): 200-500 lines, Inherit/Sonnet, <15 min
- Tier 3 (Complex): 500+ lines, Sonnet, 20-30 min
- Variables: 15+ categories for dynamic substitution
- YAML Generation: Frontmatter with proper metadata
Template Files (in templates/ subfolder):
simple-agent.template.mdβ Tier 1 template for simple agentsstandard-agent.template.mdβ Tier 2 template for standard agentscomplex-agent.template.mdβ Tier 3 template for complex agentsVARIABLE_REFERENCE.mdβ Complete variable substitution guide
See: reference/template-system.md
Validation Framework
Responsible for: Ensuring agent quality meets all standards
4 Quality Gates:
- Gate 1: YAML syntax validation
- Gate 2: Required sections verification
- Gate 3: Content quality checks
- Gate 4: TRUST 5 + Claude Code v4.0 compliance
Includes: 5 core test cases + 3 edge cases
See: reference/validation-framework.md
Advanced Features
Responsible for: Enterprise capabilities and optimization
Features:
- Semantic Versioning: Track agent versions
- Multi-Domain Support: 2-3 domain agents
- Performance Analyzer: Automatic optimization suggestions
- Enterprise Compliance: SOC2, GDPR, HIPAA support
- Audit Logging: Activity tracking and monitoring
See: reference/advanced-features.md
π Integration Points
With agent-factory Agent
---
name: agent-factory
model: sonnet
---
## Required Skills
Skill("moai-alfred-agent-factory") # This master skill
# In execution:
1. Load this skill
2. Use Intelligence Engine (Stage 1-2)
3. Use Research Engine (Stage 3)
4. Use Template System (Stage 4-5)
5. Use Validation Framework (Stage 6)
With @agent-cc-manager
After generation, delegate to @agent-cc-manager for:
- Claude Code v4.0 compliance verification
.claude/settings.jsonvalidation- MCP server configuration check
- Hook registration validation
With @agent-mcp-context7-integrator
Research Engine delegates to for:
- Library ID resolution
- Official documentation fetching
- Best practice identification
- Latest API version discovery
π Performance Expectations
| Agent Type | Complexity | Generation Time | Result |
|---|---|---|---|
| Simple | 1-3 | <5 min | Tier 1 template |
| Standard | 4-6 | <15 min | Tier 2 template |
| Complex | 7-10 | 20-30 min | Tier 3 template + orchestration |
π§ How to Use This Skill
For Agent-Factory Agent
# 1. Load this skill
skill = Skill("moai-alfred-agent-factory")
# 2. Use Intelligence Engine for analysis
domain = skill.intelligence_engine.detect_domain(user_input)
complexity = skill.intelligence_engine.complexity_score(domain, capabilities)
model = skill.intelligence_engine.select_model(complexity)
# 3. Use Research Engine for documentation
research = skill.research_engine.research_domain(domain, frameworks)
practices = research.best_practices
patterns = research.patterns
# 4. Use Template System for generation
template = skill.template_system.select_template(complexity)
agent_markdown = skill.template_system.generate_agent(
template=template,
variables={...}
)
# 5. Use Validation Framework for quality
validation = skill.validation_framework.validate(agent_markdown)
if validation.passed:
return agent_markdown
else:
return validation.issues
For Reference Lookup
Need specific information? Use the reference files:
- "What model should I pick?" β See intelligence-engine.md
- "How do I get best practices?" β See research-engine.md
- "What variables exist?" β See template-system.md
- "How are agents validated?" β See validation-framework.md
π Reference Files Organization
moai-alfred-agent-factory/
βββ SKILL.md (this file - navigation hub)
βββ reference/ (detailed documentation)
β βββ intelligence-engine.md (280 lines: algorithms)
β βββ research-engine.md (320 lines: workflows)
β βββ template-system.md (280 lines: templates)
β βββ validation-framework.md (220 lines: testing)
β βββ advanced-features.md (200 lines: enterprise)
βββ templates/ (reusable agent templates)
β βββ simple-agent.template.md (Tier 1: <200 lines, Haiku)
β βββ standard-agent.template.md (Tier 2: 200-500 lines)
β βββ complex-agent.template.md (Tier 3: 500+ lines)
β βββ VARIABLE_REFERENCE.md (15+ variable categories)
βββ examples.md (719 lines: use cases)
βββ reference.md (400 lines: quick lookup)
β¨ Key Highlights
β Comprehensive: 6 core systems with complete documentation β Modular: Each system independently referenceable β Practical: Includes algorithms with code examples β Tested: 5 core + 3 edge case test scenarios β Enterprise: Versioning, compliance, optimization β Official: Follows Claude Code v4.0 standards
π Learning Path
New to agent-factory?
- Read this overview
- Review examples.md for practical cases
- Dive into specific reference files as needed
Integrating with your agent?
- Load this skill with
Skill("moai-alfred-agent-factory") - Reference specific algorithms from this overview
- Consult detailed docs in reference/ folder
Need specific feature? Use the component table above and jump to the corresponding reference file.
π Quick Reference
| Question | Link |
|---|---|
| How do I analyze user requirements? | intelligence-engine.md β Requirement Analysis |
| How do I detect the domain? | intelligence-engine.md β Domain Detection |
| How do I select the right model? | intelligence-engine.md β Model Selection |
| How do I research best practices? | research-engine.md β Research Workflow |
| What templates are available? | template-system.md β Templates |
| How do I validate agents? | validation-framework.md β Quality Gates |
| Can I see examples? | examples.md |
| Need a quick lookup? | reference.md |
Created: 2025-11-15 Version: 1.0.0 Status: Production Ready Total Content: 2,800+ lines across organized reference files