main-layer

name	main-layer
description	This layer encompasses the core functionality of the project, managing the primary modules and their interactions. Trigger: When working in main/ — adding, modifying, or debugging core functionalities.
license	Apache-2.0
metadata	{"author":"repoforge","version":"1.0","complexity":"medium","token_estimate":450,"dependencies":[],"related_skills":[],"load_priority":"high"}

main-layer

This skill covers the core functionality and structure of the main layer.

Trigger: When working in main/ directory and its main responsibility.

Quick Reference

Task	Pattern
Create a new module	eval/harness.py

Critical Patterns (Summary)

• Module Initialization: Ensure proper path setup when running modules directly.
• Data Adaptation: Use adapters for valid target identifiers in the project.

Critical Patterns (Detailed)

Module Initialization

Ensure proper path setup when running modules directly to avoid import errors.

# eval/harness.py
import sys
import os

sys.path.append(os.path.dirname(os.path.abspath(__file__)))

Data Adaptation

Utilize adapters to manage valid target identifiers, ensuring consistent data handling across modules.

# repoforge/adapters.py
def adapt_for_cursor(data):
    # Adapt data for cursor usage
    pass

When to Use

• When creating or modifying core modules that interact with the main functionality.
• When integrating new features that require adjustments to existing data handling.

Commands

python -m eval.harness

Anti-Patterns

Don't: Modify core modules without testing

Changing core modules can lead to unexpected behavior across the project.

# BAD
def broken_function():
    return undefined_variable