---

name: daily-coding description: Use for everyday coding tasks that involve writing or modifying source code. version: 1.0.0 tags: [Coding, Daily, Checklist]

Daily Coding Checklist

A minimal coding quality assurance checklist ensuring every code modification follows best practices.

When to Use

Use this skill for:

• Implementing new features
• Adding code or modifying existing code
• User requests like "write a...", "implement...", "add...", or "modify..."
• Any coding task that involves Edit or Write tools

When Not to Use

Do not use this skill for:

• Pure reading or understanding tasks with no modification intent
• Work already covered by specialized skills such as bug-detective, architecture-design, or verification-loop
• Configuration-only changes
• Documentation-only writing

Core Checklist

Before Starting

• Read before modify - Must read target file with Read tool before making changes
• Understand context - Confirm understanding of existing code logic and design intent

During Coding

• Minimal changes - Only change what's necessary, no over-engineering, no unrelated features
• Type safety - Add type hints for Python, avoid any in TypeScript
• Security check - Avoid command injection, XSS, SQL injection vulnerabilities

After Completion

• Verify execution - Ensure code runs correctly with no syntax errors
• Clean up - Remove print/console.log debug statements and temporary files
• Brief summary - Inform user what was changed and the scope of impact

Quick Reference

Common Mistakes to Avoid

# ❌ Don't
def process(data=[]):  # Mutable default argument
    pass

# ✅ Should
def process(data: list | None = None):
    data = data or []

# ❌ Don't
except:  # Bare except
    pass

# ✅ Should
except ValueError as e:
    logger.error(f"Processing failed: {e}")
    raise

Security Check Points

• User input must be validated/escaped
• Use pathlib for file paths, avoid path traversal
• Never hardcode sensitive info (API keys, passwords)