daily-coding
Use for everyday coding tasks that involve writing or modifying source code.
What this skill does
# 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
```python
# ❌ Don't
def process(data=[]): # Mutable default argument
pass
# ✅ Should
def process(data: list | None = None):
data = data or []
```
```python
# ❌ 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)
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