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daily-coding

Apply a compact checklist to everyday code changes. Read existing files first, keep edits focused, check types and security, verify execution, remove debugging leftovers, and summarize what changed and its impact.

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原文查看原文说明

Use for everyday coding tasks that involve writing or modifying source code.

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适用场景

  • Implement a new feature with a consistent coding checklist
  • Keep changes to existing code focused on the requested task
  • Check types and security while writing code
  • Verify execution and clean up debugging leftovers

包含的文件(1)

  • SKILL.md2.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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 tdd-guide
  • 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)

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