Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflow pattern learning, context optimization, debugging issue resolution, feature implementation end-to-end, and team knowledge transfer
Scanned 2/12/2026
Install via CLI
openskills install AJBcoding/claude-skill-eval---
name: "moai-alfred-practices"
version: "4.0.0"
created: 2025-11-05
updated: 2025-11-12
status: stable
description: Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflow pattern learning, context optimization, debugging issue resolution, feature implementation end-to-end, and team knowledge transfer
keywords: ['workflow-patterns', 'context-engineering', 'jit-retrieval', 'agent-usage', 'debugging-patterns', 'feature-implementation', 'practical-examples', 'moai-adk-mastery', 'knowledge-transfer', 'enterprise-workflows']
allowed-tools:
- Read
- Glob
- Bash
- WebFetch
- mcp__context7__resolve-library-id
- mcp__context7__get-library-docs
---
# Enterprise Practical Workflows & Context Engineering v4.0.0
## Skill Metadata
| Field | Value |
| ----- | ----- |
| **Skill Name** | moai-alfred-practices |
| **Version** | 4.0.0 Enterprise (2025-11-12) |
| **Focus** | Practical execution patterns, real-world scenarios |
| **Auto-load** | When workflow guidance or debugging help needed |
| **Included Patterns** | 15+ real-world scenarios |
| **Lines of Content** | 950+ with 20+ production examples |
| **Progressive Disclosure** | 3-level (quick-patterns, scenarios, advanced) |
---
## What It Does
Provides practical workflows, context engineering strategies, real-world execution examples, and debugging solutions for moai-adk. Covers JIT context management, efficient agent usage, SPEC→TDD→Sync execution, and common problem resolution.
---
## JIT (Just-In-Time) Context Strategy
### Principle: Load Only What's Needed Now
```
Traditional (overload):
Load entire codebase
→ Context window fills immediately
→ Limited reasoning capacity
→ Slow, inefficient
JIT (optimized):
Load core entry points
→ Identify specific function/module
→ Load only that section
→ Cache in thread context
→ Reuse for related tasks
→ Minimal context waste
```
### Practice 1: Core Module Mapping
```bash
# 1. Get high-level structure
find src/ -type f -name "*.py" | wc -l
# Output: 145 files total
# 2. Identify entry points (only 3-5 files)
find src/ -name "__main__.py" -o -name "main.py" -o -name "run.py"
# 3. Load entry point + immediate dependencies
Glob("src/{**/}*.py")
# Load only files referenced by entry point
# 4. Cache in Task() context for reuse
Task(prompt="Task 1 using mapped modules")
Task(prompt="Task 2 reuses cached context")
```
### Practice 2: Dependency Tree Navigation
```
Project Root
├─ src/
│ ├─ __init__.py ← Entry point #1
│ ├─ main.py ← Entry point #2
│ ├─ core/
│ │ ├─ domain.py ← Core models
│ │ ├─ repository.py ← Data access
│ │ └─ service.py ← Business logic
│ └─ api/
│ ├─ routes.py ← API endpoints
│ └─ handlers.py ← Request handlers
Load strategy:
1. Load main.py + __init__.py (entry points)
2. When modifying API → Load api/ subtree
3. When fixing business logic → Load core/service.py
4. Cache all loaded files in context
5. Share context between related tasks
```
### Practice 3: Context Reuse Across Tasks
```python
# Task 1: Understand module structure
analysis = Task({
prompt="Map src/ directory structure, identify entry points, list dependencies"
})
# Task 2: Reuse analysis for implementation
implementation = Task({
prompt=f"""Using this structure:
{analysis}
Now implement feature X...
"""
})
# Task 3: Reuse analysis for testing
testing = Task({
prompt=f"""Using this structure:
{analysis}
Write tests for feature X...
"""
})
# Result: No re-mapping, efficient context reuse
```
---
## SPEC → TDD → Sync Execution Pattern
### Step 1: Create SPEC with `/alfred:1-plan`
```bash
/alfred:1-plan "Add user authentication with JWT"
# This creates:
# .moai/specs/SPEC-042/spec.md (full requirements)
# feature/SPEC-042 (git branch)
# Track with TodoWrite
```
### Step 2: Implement with `/alfred:2-run SPEC-042`
```
RED: Test agent writes failing tests
↓
GREEN: Implementer agent creates minimal code
↓
REFACTOR: Quality agent improves code
↓
Repeat TDD cycle for each feature component
↓
All tests passing, coverage ≥85%
```
### Step 3: Sync with `/alfred:3-sync auto SPEC-042`
```
Updates:
✓ Documentation
✓ Test coverage metrics
✓ Creates PR to develop
✓ Auto-validation of quality gates
```
---
## Debugging Pattern: Issue → Root Cause → Fix
### Step 1: Triage & Understand
```
Error message: "Cannot read property 'user_id' of undefined"
Questions:
- When does it occur? (always, intermittently, specific scenario)
- Which code path? (which endpoint/function)
- What's the state? (what data led to this)
- What changed recently? (revert to narrow down)
```
### Step 2: Isolate Root Cause
```python
# Method 1: Binary search
# Is it in API layer? → Yes
# Is it in route handler? → No
# Is it in service layer? → Yes
# Is it in this function? → Narrow down
# Method 2: Add logging
logger.debug(f"user_id = {user_id}") # Check where it becomes undefined
# Method 3: Test locally
# Reproduce with minimal example
# Add breakpoint in debugger
# Step through execution
```
### Step 3: Fix with Tests
```python
# RED: Write failing test
def test_handles_missing_user_id():
"""Should handle case when user_id is undefined."""
assert get_user(None) raises ValueError
# GREEN: Minimal fix
def get_user(user_id):
if not user_id:
raise ValueError("user_id required")
return fetch_user(user_id)
# REFACTOR: Improve
def get_user(user_id: int) -> User:
"""Get user by ID.
Args:
user_id: User identifier
Raises:
ValueError: If user_id is None or invalid
"""
if not user_id or user_id <= 0:
raise ValueError(f"Invalid user_id: {user_id}")
return self.user_repo.find(user_id)
```
---
## 5 Real-World Scenarios
### Scenario 1: Feature Implementation (2-3 hours)
```
1. Create SPEC: /alfred:1-plan "Add user dashboard"
2. Clarify details: AskUserQuestion (which data to show?)
3. Implement: /alfred:2-run SPEC-XXX (TDD cycle)
4. Document: /alfred:3-sync auto SPEC-XXX
5. Result: Production-ready feature
```
### Scenario 2: Bug Investigation (1-2 hours)
```
1. Reproduce: Create minimal test case
2. Isolate: Narrow down affected code
3. Debug: Add logging, trace execution
4. Fix: TDD RED→GREEN→REFACTOR
5. Validate: Ensure tests pass, regression tests
```
### Scenario 3: Large Refactoring (4-8 hours)
```
1. Analyze: Map current code structure
2. Plan: Design new structure with trade-offs
3. Clone pattern: Create autonomous agents for parallel refactoring
4. Integrate: Verify all pieces work together
5. Test: Comprehensive test coverage
```
### Scenario 4: Performance Optimization (2-4 hours)
```
1. Profile: Identify bottleneck with profiler
2. Analyze: Understand performance characteristics
3. Design: Plan optimization approach
4. Implement: TDD RED→GREEN→REFACTOR
5. Validate: Benchmark before/after
```
### Scenario 5: Multi-Team Coordination (ongoing)
```
1. SPEC clarity: AskUserQuestion for ambiguous requirements
2. Agent routing: Delegate to specialist teams
3. Progress tracking: TodoWrite for coordination
4. Integration: Verify components work together
5. Documentation: Central SPEC as source of truth
```
---
## Context Budget Optimization
```
Typical project context:
- Config files: ~50 tokens
- .moai/ structure: ~100 tokens
- Entry points (3-5 files): ~500 tokens
- SPEC document: ~200 tokens
→ Total: ~850 tokens per session
Reusable context:
- Load once per session
- Share across 5-10 tasks
- Saves: 3,500-8,500 tokens per session
- Result: More reasoning capacity
```
---
## Best Practices
### DO
- ✅ Load entry points first (3-5 files)
- ✅ Identify dependencies before deep dive
- ✅ Reuse analyzed context across tasks
- ✅ Cache intermediate results in Task context
- ✅ Follow SPEC → TDD → Sync workflow
- ✅ Track progress with TodoWrite
- ✅ Ask for clarification (AskUserQuestion)
- ✅ Test before declaring done
### DON'T
- ❌ Load entire codebase at once
- ❌ Reanalyze same code multiple times
- ❌ Skip SPEC clarification (causes rework)
- ❌ Write code without tests
- ❌ Ignore error messages
- ❌ Assume context understanding
- ❌ Skip documentation updates
- ❌ Commit without running tests
---
## Related Skills
- `moai-alfred-agent-guide` (Agent orchestration patterns)
- `moai-alfred-clone-pattern` (Complex task delegation)
- `moai-essentials-debug` (Debugging techniques)
---
**For detailed workflow examples**: [reference.md](reference.md)
**For real-world scenarios**: [examples.md](examples.md)
**Last Updated**: 2025-11-12
**Status**: Production Ready (Enterprise v4.0.0)
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