Static Code Analysis
Catches bugs, security issues, and style violations before they hit production by running linters, formatters, and security scanners on your code. You'll want this when setting up CI/CD pipelines, pre-commit hooks, or enforcing team coding standards. The skill covers ESLint for JavaScript/TypeScript, pylint and mypy for Python, plus SonarQube integration and custom AST analysis. The honest take: static analysis tools can feel annoying at first, especially if you configure them too strictly out of the gate, but they save massive debugging time once your team commits to actually fixing the issues instead of just suppressing warnings. Start with reasonable rules and tighten gradually.
- skills.sh installs
- 622
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill static-code-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Static Code Analysis
Table of Contents
Overview
Use automated tools to analyze code without executing it, catching bugs, security issues, and style violations early.
When to Use
- Enforcing coding standards
- Security vulnerability detection
- Bug prevention
- Code review automation
- CI/CD pipelines
- Pre-commit hooks
- Refactoring assistance
Quick Start
Minimal working example:
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- Security, Git & Pull Requests, Code Review & Quality, AI & Agent Building
- First seen
- Jun 3, 2026
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