Skill5.9k repo starsupdated 9d ago

daily-coding

Daily Coding is a quality assurance checklist skill for implementing features, writing new code, or modifying existing source code. Use it when responding to requests like "write a...", "implement...", "add...", or "modify..." that involve actual code changes. The skill guides developers through reading target files before modification, maintaining type safety, checking security vulnerabilities, verifying execution, and cleaning up debug statements before completion.

View source Repository: claude-scholar

Install in Claude Code

Copy

git clone --depth 1 https://github.com/Galaxy-Dawn/claude-scholar /tmp/daily-coding && cp -r /tmp/daily-coding/skills/daily-coding ~/.claude/skills/daily-coding

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# 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)