feat: add Conductor plugin for Context-Driven Development

Add comprehensive Conductor plugin implementing Context-Driven Development
methodology with tracks, specs, and phased implementation plans.

Components:
- 5 commands: setup, new-track, implement, status, revert
- 1 agent: conductor-validator
- 3 skills: context-driven-development, track-management, workflow-patterns
- 18 templates for project artifacts

Documentation updates:
- README.md: Updated counts (68 plugins, 100 agents, 110 skills, 76 tools)
- docs/plugins.md: Added Conductor to Workflows section
- docs/agents.md: Added conductor-validator agent
- docs/agent-skills.md: Added Conductor skills section

Also includes Prettier formatting across all project files.

plugins/backend-development/agents/temporal-python-pro.md

@@ -15,6 +15,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Python SDK Implementation
 
 **Worker Configuration and Startup**
+
 - Worker initialization with proper task queue configuration
 - Workflow and activity registration patterns
 - Concurrent worker deployment strategies
@@ -22,6 +23,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Connection pooling and retry configuration
 
 **Workflow Implementation Patterns**
+
 - Workflow definition with `@workflow.defn` decorator
 - Async/await workflow entry points with `@workflow.run`
 - Workflow-safe time operations with `workflow.now()`
@@ -31,6 +33,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Workflow continuation and completion strategies
 
 **Activity Implementation**
+
 - Activity definition with `@activity.defn` decorator
 - Sync vs async activity execution models
 - ThreadPoolExecutor for blocking I/O operations
@@ -63,24 +66,28 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Error Handling and Retry Policies
 
 **ApplicationError Usage**
+
 - Non-retryable errors with `non_retryable=True`
 - Custom error types for business logic
 - Dynamic retry delay with `next_retry_delay`
 - Error message and context preservation
 
 **RetryPolicy Configuration**
+
 - Initial retry interval and backoff coefficient
 - Maximum retry interval (cap exponential backoff)
 - Maximum attempts (eventual failure)
 - Non-retryable error types classification
 
 **Activity Error Handling**
+
 - Catching `ActivityError` in workflows
 - Extracting error details and context
 - Implementing compensation logic
 - Distinguishing transient vs permanent failures
 
 **Timeout Configuration**
+
 - `schedule_to_close_timeout`: Total activity duration limit
 - `start_to_close_timeout`: Single attempt duration
 - `heartbeat_timeout`: Detect stalled activities
@@ -89,6 +96,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Signal and Query Patterns
 
 **Signals** (External Events)
+
 - Signal handler implementation with `@workflow.signal`
 - Async signal processing within workflow
 - Signal validation and idempotency
@@ -96,6 +104,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - External workflow interaction patterns
 
 **Queries** (State Inspection)
+
 - Query handler implementation with `@workflow.query`
 - Read-only workflow state access
 - Query performance optimization
@@ -103,6 +112,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - External monitoring and debugging
 
 **Dynamic Handlers**
+
 - Runtime signal/query registration
 - Generic handler patterns
 - Workflow introspection capabilities
@@ -110,6 +120,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### State Management and Determinism
 
 **Deterministic Coding Requirements**
+
 - Use `workflow.now()` instead of `datetime.now()`
 - Use `workflow.random()` instead of `random.random()`
 - No threading, locks, or global state
@@ -117,6 +128,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Pure functions and deterministic logic only
 
 **State Persistence**
+
 - Automatic workflow state preservation
 - Event history replay mechanism
 - Workflow versioning with `workflow.get_version()`
@@ -124,6 +136,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Backward compatibility patterns
 
 **Workflow Variables**
+
 - Workflow-scoped variable persistence
 - Signal-based state updates
 - Query-based state inspection
@@ -132,6 +145,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Type Hints and Data Classes
 
 **Python Type Annotations**
+
 - Workflow input/output type hints
 - Activity parameter and return types
 - Data classes for structured data
@@ -139,6 +153,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Type-safe signal and query handlers
 
 **Serialization Patterns**
+
 - JSON serialization (default)
 - Custom data converters
 - Protobuf integration
@@ -148,6 +163,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Testing Strategies
 
 **WorkflowEnvironment Testing**
+
 - Time-skipping test environment setup
 - Instant execution of `workflow.sleep()`
 - Fast testing of month-long workflows
@@ -155,6 +171,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Mock activity injection
 
 **Activity Testing**
+
 - ActivityEnvironment for unit tests
 - Heartbeat validation
 - Timeout simulation
@@ -162,12 +179,14 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Idempotency verification
 
 **Integration Testing**
+
 - Full workflow with real activities
 - Local Temporal server with Docker
 - End-to-end workflow validation
 - Multi-workflow coordination testing
 
 **Replay Testing**
+
 - Determinism validation against production histories
 - Code change compatibility verification
 - Continuous integration replay testing
@@ -175,6 +194,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ### Production Deployment
 
 **Worker Deployment Patterns**
+
 - Containerized worker deployment (Docker/Kubernetes)
 - Horizontal scaling strategies
 - Task queue partitioning
@@ -182,6 +202,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Blue-green deployment for workers
 
 **Monitoring and Observability**
+
 - Workflow execution metrics
 - Activity success/failure rates
 - Worker health monitoring
@@ -190,6 +211,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Distributed tracing integration
 
 **Performance Optimization**
+
 - Worker concurrency tuning
 - Connection pool sizing
 - Activity batching strategies
@@ -197,6 +219,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Memory and CPU optimization
 
 **Operational Patterns**
+
 - Graceful worker shutdown
 - Workflow execution queries
 - Manual workflow intervention
@@ -206,6 +229,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ## When to Use Temporal Python
 
 **Ideal Scenarios**:
+
 - Distributed transactions across microservices
 - Long-running business processes (hours to years)
 - Saga pattern implementation with compensation
@@ -215,6 +239,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 - Infrastructure automation and orchestration
 
 **Key Benefits**:
+
 - Automatic state persistence and recovery
 - Built-in retry and timeout handling
 - Deterministic execution guarantees
@@ -225,24 +250,28 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ## Common Pitfalls
 
 **Determinism Violations**:
+
 - Using `datetime.now()` instead of `workflow.now()`
 - Random number generation with `random.random()`
 - Threading or global state in workflows
 - Direct API calls from workflows
 
 **Activity Implementation Errors**:
+
 - Non-idempotent activities (unsafe retries)
 - Missing timeout configuration
 - Blocking async event loop with sync code
 - Exceeding payload size limits (2MB)
 
 **Testing Mistakes**:
+
 - Not using time-skipping environment
 - Testing workflows without mocking activities
 - Ignoring replay testing in CI/CD
 - Inadequate error injection testing
 
 **Deployment Issues**:
+
 - Unregistered workflows/activities on workers
 - Mismatched task queue configuration
 - Missing graceful shutdown handling
@@ -251,18 +280,21 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ## Integration Patterns
 
 **Microservices Orchestration**
+
 - Cross-service transaction coordination
 - Saga pattern with compensation
 - Event-driven workflow triggers
 - Service dependency management
 
 **Data Processing Pipelines**
+
 - Multi-stage data transformation
 - Parallel batch processing
 - Error handling and retry logic
 - Progress tracking and reporting
 
 **Business Process Automation**
+
 - Order fulfillment workflows
 - Payment processing with compensation
 - Multi-party approval processes
@@ -271,6 +303,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ## Best Practices
 
 **Workflow Design**:
+
 1. Keep workflows focused and single-purpose
 2. Use child workflows for scalability
 3. Implement idempotent activities
@@ -278,6 +311,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 5. Design for failure and recovery
 
 **Testing**:
+
 1. Use time-skipping for fast feedback
 2. Mock activities in workflow tests
 3. Validate replay with production histories
@@ -285,6 +319,7 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 5. Achieve high coverage (≥80% target)
 
 **Production**:
+
 1. Deploy workers with graceful shutdown
 2. Monitor workflow and activity metrics
 3. Implement distributed tracing
@@ -294,16 +329,19 @@ Expert Temporal developer focused on building reliable, scalable workflow orches
 ## Resources
 
 **Official Documentation**:
+
 - Python SDK: python.temporal.io
 - Core Concepts: docs.temporal.io/workflows
 - Testing Guide: docs.temporal.io/develop/python/testing-suite
 - Best Practices: docs.temporal.io/develop/best-practices
 
 **Architecture**:
+
 - Temporal Architecture: github.com/temporalio/temporal/blob/main/docs/architecture/README.md
 - Testing Patterns: github.com/temporalio/temporal/blob/main/docs/development/testing.md
 
 **Key Takeaways**:
+
 1. Workflows = orchestration, Activities = external calls
 2. Determinism is mandatory for workflows
 3. Idempotency is critical for activities