---
name: Daily Coding
slug: daily-coding
category: Quality
description: Daily Coding provides a quality assurance checklist for writing or modifying source code. Use it before, during, and after coding tasks to ensure minimal changes, type safety, security, and clean execution.
github: "https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/daily-coding"
language: Python
stars: 5133
forks: 415
install: "npx degit https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/daily-coding ~/.claude/skills/daily-coding"
installs_to: ~/.claude/skills/daily-coding
source_path: skills/daily-coding/SKILL.md
collection_size: 25
category_size: 1354
collection_url: "https://dirskills.com/collections/Galaxy-Dawn/claude-scholar"
added: 2026-08-16T07:00:40.162Z
last_synced: 2026-08-16T07:00:40.162Z
canonical_url: "https://dirskills.com/skills/daily-coding"
---

# Daily Coding

Daily Coding provides a quality assurance checklist for writing or modifying source code. Use it before, during, and after coding tasks to ensure minimal changes, type safety, security, and clean execution.

**Install:**

```bash
npx degit https://github.com/Galaxy-Dawn/claude-scholar/tree/main/skills/daily-coding ~/.claude/skills/daily-coding
```

## README

# 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)