# TMLPD v2.0 Improvement Roadmap

## Current Status
- **Codebase**: ~3,000 lines across 10 files
- **All 5 Phases**: ✅ Complete
- **Test Coverage**: ~75%
- **Documentation**: Comprehensive

## Priority Framework

### 🔴 High Priority (Do First)
### 🟡 Medium Priority (Do Next)
### 🟢 Low Priority (Nice to Have)

---

## 🔴 HIGH PRIORITY IMPROVEMENTS

### 1. **Add CLI Interface** ⭐ MOST REQUESTED
**Problem**: Users need a command-line tool to interact with TMLPD
**Impact**: Makes TMLPD usable as a developer tool

**Implementation**:
```bash
# Install
pip install tmlpd

# Usage
tmlpd route "Create a React component"
tmlpd execute --task "Build API" --skills backend,testing
tmlpd memory show --recent
tmlpd checkpoint list
tmlpd skill validate frontend
```

**Files to add**:
- `tmlpd/__init__.py` - Package entry point
- `tmlpd/cli.py` - CLI commands using Click
- `setup.py` - Package configuration

**Effort**: 2-3 days
**Value**: ⭐⭐⭐⭐⭐

---

### 2. **Implement Workflow Executors**
**Problem**: We have routing but no actual workflow execution
**Impact**: Enables the 15% workflow use case

**What's missing**:
- Chaining executor (sequential tasks)
- Parallelization executor (independent tasks)
- Conditional branching executor

**Implementation**:
```python
# src/workflows/executors.py

class ChainingExecutor:
    """Execute tasks sequentially, passing output to next"""
    async def execute(self, tasks: List[Task]) -> Result:
        for task in tasks:
            result = await self.execute_one(task)
            # Pass result to next task

class ParallelizationExecutor:
    """Execute independent tasks in parallel"""
    async def execute(self, tasks: List[Task]) -> List[Result]:
        return await asyncio.gather(*[
            self.execute_one(task) for task in tasks
        ])
```

**Files to add**:
- `src/workflows/executors.py` (300 lines)
- Tests in `src/__tests__/workflows/`

**Effort**: 1-2 days
**Value**: ⭐⭐⭐⭐⭐

---

### 3. **Configuration System**
**Problem**: No centralized configuration, only hardcoded defaults
**Impact**: Makes customization difficult

**Implementation**:
```yaml
# tmlpd.yaml
skills:
  directory: tmlpd-skills
  auto_reload: true

routing:
  default_provider: anthropic
  fallback_provider: openai
  complexity_threshold: 0.7

memory:
  enabled: true
  file: .taskmaster/memory.json
  max_patterns: 1000

checkpointing:
  enabled: true
  directory: .taskmaster/checkpoints
  max_checkpoints: 10
```

**Files to add**:
- `src/config.py` - Configuration loader (200 lines)
- `tmlpd.yaml.example` - Example config
- Update existing files to use config

**Effort**: 1 day
**Value**: ⭐⭐⭐⭐

---

### 4. **Better Skill Matching (Semantic Similarity)**
**Problem**: Current keyword matching is too simple
**Impact**: Better skill discovery = more relevant skills

**Current**: Jaccard similarity on keywords
**Proposed**: Add optional LLM-based semantic matching

**Implementation**:
```python
# src/skills/skill_matcher.py

class SemanticSkillMatcher:
    """Use LLM to find semantically similar skills"""

    async def find_skills(
        self,
        task: str,
        skills: List[Skill],
        use_llm: bool = True
    ) -> List[Tuple[Skill, float]]:
        if use_llm:
            # Use LLM for semantic similarity
            return await self._llm_match(task, skills)
        else:
            # Fall back to keyword matching
            return self._keyword_match(task, skills)
```

**Files to modify**:
- `src/skills/skill_manager.py` - Add semantic matching option
- Add `src/skills/skill_matcher.py` (150 lines)

**Effort**: 1 day
**Value**: ⭐⭐⭐⭐

---

### 5. **Add Logging and Observability**
**Problem**: No visibility into what's happening
**Impact**: Debugging is difficult, can't optimize

**Implementation**:
```python
import logging

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)

logger = logging.getLogger('tmlpd')

# Add structured logging
logger.info("Task routed", extra={
    "task_id": task_id,
    "strategy": routing_result["strategy"],
    "complexity": complexity_score
})
```

**Files to modify**:
- Add `src/utils/logging.py` (100 lines)
- Update all modules to use logger

**Effort**: 1 day
**Value**: ⭐⭐⭐⭐

---

### 6. **Skill Management CLI**
**Problem**: Creating and validating skills is manual
**Impact**: Slows down skill development

**Commands to add**:
```bash
tmlpd skill create my-skill --category frontend
tmlpd skill validate my-skill
tmlpd skill test my-skill
tmlpd skill list --tags react,node
tmlpd skill search "component development"
```

**Files to add**:
- `tmlpd/commands/skill.py` - Skill CLI commands (200 lines)

**Effort**: 1 day
**Value**: ⭐⭐⭐

---

## 🟡 MEDIUM PRIORITY IMPROVEMENTS

### 7. **Performance Optimizations**
**Current bottlenecks**:
- Skill loading is synchronous
- No caching of loaded skills
- Pattern recall is O(n) linear scan

**Improvements**:
```python
# 1. Async skill loading
async def load_skill_async(self, skill_name: str) -> Skill:
    # Load skills concurrently

# 2. LRU cache for loaded skills
from functools import lru_cache

@lru_cache(maxsize=100)
def load_skill_cached(self, skill_name: str) -> Skill:
    # Cache frequently used skills

# 3. Pattern indexing
class PatternIndex:
    """Index patterns by keyword for faster lookup"""
    def __init__(self):
        self.keyword_index = defaultdict(list)

    def add_pattern(self, pattern):
        for keyword in pattern["keywords"]:
            self.keyword_index[keyword].append(pattern)
```

**Files to modify**:
- `src/skills/skill_manager.py`
- `src/memory/simple_memory.py`

**Effort**: 1-2 days
**Value**: ⭐⭐⭐

---

### 8. **Advanced Memory Features**
**Current limitations**:
- Patterns never expire (memory bloat)
- No pattern merging (duplicates)
- Manual cleanup only

**Improvements**:
```python
class SimpleProjectMemory:
    def compress_old_patterns(self, days: int = 30):
        """Compress patterns older than N days"""
        # Keep summary stats only

    def merge_similar_patterns(self, threshold: float = 0.9):
        """Merge nearly identical patterns"""
        # Use similarity threshold

    def auto_cleanup(self):
        """Automatic cleanup based on usage"""
        # Remove rarely recalled patterns
```

**Files to modify**:
- `src/memory/simple_memory.py`

**Effort**: 1 day
**Value**: ⭐⭐⭐

---

### 9. **Error Handling Improvements**
**Problem**: Generic error messages, no recovery suggestions
**Impact**: Hard to debug, poor UX

**Current**:
```python
raise FileNotFoundError("Skill not found")
```

**Improved**:
```python
class SkillNotFoundError(TMLPDError):
    def __init__(self, skill_name: str, available_skills: List[str]):
        self.skill_name = skill_name
        self.available_skills = available_skills
        super().__init__(
            f"Skill '{skill_name}' not found.\n"
            f"Did you mean: {self._find_similar(skill_name)}?\n"
            f"Available skills: {', '.join(available_skills[:5])}"
        )
```

**Files to add**:
- `src/exceptions.py` - Custom exception hierarchy (100 lines)

**Effort**: 0.5 days
**Value**: ⭐⭐⭐

---

### 10. **Add Comprehensive Examples**
**Problem**: Only one demo, limited real-world examples
**Impact**: Hard to understand use cases

**Add**:
- `examples/basic_usage.py` - Simple examples
- `examples/workflow_patterns.py` - Chaining, parallel
- `examples/memory_patterns.py` - Pattern learning demo
- `examples/custom_skills.py` - Creating skills
- `examples/integration_tests.py` - Testing your setup

**Files to add**:
- `examples/*.py` (5-6 files, 100 lines each)

**Effort**: 1 day
**Value**: ⭐⭐⭐

---

### 11. **Skill Versioning**
**Problem**: No way to track skill versions or compatibility
**Impact**: Breaking changes are problematic

**Implementation**:
```yaml
---
name: "React Frontend"
version: "2.0.0"
tmlpd_version: ">=2.0.0"
description: "React development best practices"
---
```

**Files to modify**:
- `src/skills/skill_manager.py` - Version validation
- Update skill frontmatter format

**Effort**: 1 day
**Value**: ⭐⭐⭐

---

## 🟢 LOW PRIORITY IMPROVEMENTS

### 12. **Skill Marketplace**
**Idea**: Share skills between projects
**Impact**: Community ecosystem

**Implementation**:
- Standardized skill format
- `tmlpd skill install react-testing`
- `tmlpd skill publish my-skill`

**Effort**: 3-5 days
**Value**: ⭐⭐ (nice to have, not core)

---

### 13. **Web Dashboard**
**Idea**: UI for monitoring TMLPD
**Impact**: Better observability

**Features**:
- Task routing visualization
- Memory insights dashboard
- Checkpoint management UI
- Performance metrics

**Effort**: 5-7 days
**Value**: ⭐⭐ (polish feature)

---

### 14. **Multi-Language Support**
**Idea**: Skills for other languages (Go, Rust, Java)
**Impact**: Broader applicability

**Current**: Python, TypeScript/JavaScript, Node.js
**Add**: Go, Rust, Java, C++, more

**Effort**: 2-3 days per language
**Value**: ⭐⭐ (depends on demand)

---

### 15. **Advanced Orchestrator Features**
**Idea**: Human-in-the-loop, dynamic replanning
**Impact**: Better handling of complex tasks

**Features**:
- Request human input at checkpoints
- Dynamic re-planning on failure
- Dependency resolution

**Effort**: 2-3 days
**Value**: ⭐⭐ (only for 5% use case)

---

## 🗑️ THINGS TO REMOVE / SIMPLIFY

### Remove These:

1. **Dead Code**: Search for unused imports/functions
   ```bash
   # Find unused imports
   flake8 src/ --select=F401

   # Find unused functions
   vulture src/
   ```

2. **Over-engineering**:
   - Check if Orchestrator is too complex for 5% use case
   - Consider simplifying or making it optional

3. **Debug Prints**:
   - Replace print() with proper logging
   - Remove debug code

### Simplify These:

1. **Skill Manager**: Could be split into smaller modules
2. **Router**: Classification logic could be extracted
3. **Tests**: Some tests might be redundant

---

## 🎯 MY TOP 5 RECOMMENDATIONS

If you want the **biggest impact with least effort**:

### 1. **Add CLI Interface** (2-3 days) ⭐⭐⭐⭐⭐
Makes TMLPD actually usable as a tool

### 2. **Implement Workflow Executors** (1-2 days) ⭐⭐⭐⭐⭐
Unlocks the 15% workflow use case

### 3. **Add Configuration System** (1 day) ⭐⭐⭐⭐
Makes customization easy

### 4. **Better Error Messages** (0.5 days) ⭐⭐⭐
Huge UX improvement, minimal effort

### 5. **Add Logging** (1 day) ⭐⭐⭐⭐
Essential for production use

**Total Effort**: 5-7 days for 5 high-impact improvements

---

## 📊 IMPLEMENTATION PRIORITY MATRIX

```
High Impact, Low Effort (DO FIRST):
├─ CLI Interface ⭐⭐⭐⭐⭐
├─ Error Messages ⭐⭐⭐⭐
├─ Logging ⭐⭐⭐⭐
└─ Configuration ⭐⭐⭐⭐

High Impact, High Effort (DO NEXT):
├─ Workflow Executors ⭐⭐⭐⭐⭐
├─ Semantic Matching ⭐⭐⭐⭐
└─ Performance Optimization ⭐⭐⭐

Low Impact, Low Effort (FILLER):
├─ Skill Management CLI ⭐⭐⭐
├─ More Examples ⭐⭐⭐
└─ Skill Versioning ⭐⭐⭐

Low Impact, High Effort (MAYBE LATER):
├─ Skill Marketplace ⭐⭐
├─ Web Dashboard ⭐⭐
└─ Multi-Language Support ⭐⭐
```

---

## 🚀 QUICK WINS (Same Day)

Can implement these in **one day** for immediate impact:

1. **Better error messages** - 2 hours
2. **Add logging** - 2 hours
3. **Remove debug prints** - 1 hour
4. **Add type hints** - 2 hours
5. **Improve README examples** - 1 hour

---

## 📝 NEXT STEPS

### Recommended Order:
1. Start with **Quick Wins** (1 day)
2. Add **CLI Interface** (2-3 days)
3. Implement **Workflow Executors** (1-2 days)
4. Add **Configuration** (1 day)
5. **Semantic Matching** (1 day)

**After 1 week**: TMLPD becomes a polished, production-ready tool!

---

**Question for you**: Which of these improvements is most valuable to you? I can implement any of them starting now.
