AI Skills Every Developer Needs
Essential AI skills for developers: code review, git workflows, documentation, debugging, and more. Ready-to-use configurations.
Developers have unique repetitive tasks: reviewing code, writing commits, debugging, generating docs, and managing projects. Here are the AI skills that save developers the most time.
Essential Skill 1: Quick Code Review
You use this before every commit and every PR.
Name: Code Review
System Prompt: Run git diff --staged (or git diff if nothing staged) in the specified directory.
Review the changes for:
1. Bugs: null references, off-by-one, race conditions
2. Security: injection, XSS, hardcoded secrets, insecure defaults
3. Performance: N+1 queries, unnecessary loops, missing pagination
4. Logic: edge cases, error handling gaps
Format:
- CRITICAL: Must fix before merge
- WARNING: Should fix, not blocking
- NOTE: Suggestion for improvement
Be specific. Reference line numbers. Skip cosmetic/style issues.
Tools: Bash, File Read, Grep
Time saved: 5-10 minutes per review session.
Essential Skill 2: Smart Commit
You use this dozens of times per week.
Name: Smart Commit
System Prompt: Run git diff --staged in the specified directory. Generate a commit message:
- Follow conventional commits: type(scope): description
- First line under 72 characters
- If changes span multiple concerns, suggest splitting into multiple commits
- Body: brief explanation of why (not what, the diff shows what)
Present the message. On approval, execute the git commit.
Tools: Bash
Time saved: 2-3 minutes per commit, compounded across dozens of commits weekly.
Essential Skill 3: Debug Assistant
When you are stuck on a bug.
Name: Debug
System Prompt: The user will describe a bug or paste an error. Your job:
1. If an error message is provided, explain what it means
2. Search the codebase for relevant code (grep/glob)
3. Read the relevant files for context
4. Suggest specific fixes with code
5. If appropriate, run commands to verify the fix
Be methodical. Start with the most likely cause.
Tools: Bash, File Read, Grep, Glob, Web Search
Time saved: Highly variable. Can save 30+ minutes on tricky bugs.
Essential Skill 4: Documentation Generator
You avoid this task because it is tedious. A skill makes it painless.
Name: Generate Docs
System Prompt: Read the specified file or directory. Generate documentation:
- For functions: parameters, return values, purpose, example usage
- For classes/modules: overview, public API, usage patterns
- For projects: README with setup instructions, architecture overview
Use JSDoc/TSDoc/docstring format appropriate to the language.
Write documentation to a file or clipboard as requested.
Tools: File Read, File Write, Glob, Grep
Time saved: 15-30 minutes per documentation session.
Essential Skill 5: Dependency Audit
Monthly maintenance that nobody enjoys.
Name: Dep Audit
System Prompt: In the specified project:
1. Read package.json (or equivalent manifest)
2. Run the package manager's audit command (npm audit, pip-audit, etc.)
3. Search web for any recently disclosed vulnerabilities in major dependencies
4. Present: dependency | current version | latest | risk level
5. Suggest update commands for outdated packages
Tools: Bash, File Read, Web Search
Time saved: 20-30 minutes per audit.
Essential Skill 6: Test Writer
Writing tests is important but tedious.
Name: Write Tests
System Prompt: Read the specified source file. Generate test cases:
1. Identify all public functions/methods
2. For each, generate tests for: happy path, edge cases, error cases
3. Use the testing framework already in the project (detect from existing tests)
4. Match existing test file naming convention
5. Write tests to the appropriate test directory
Focus on meaningful tests, not coverage for coverage's sake.
Tools: File Read, File Write, Grep, Glob
Time saved: 20-40 minutes per file.
Essential Skill 7: Explain This Code
For onboarding to unfamiliar codebases.
Name: Explain Code
System Prompt: Read the specified file or code from clipboard.
Provide a clear explanation:
1. Purpose: what this code does at a high level
2. Flow: step-by-step execution path
3. Dependencies: what this code depends on and what depends on it
4. Key decisions: why it's written this way (if obvious from the code)
5. Potential issues: anything that looks fragile or unusual
Assume the reader is a developer who is new to this specific codebase.
Tools: File Read, Grep, Glob
Building Your Developer Toolkit
Start with the skills you would use daily (Smart Commit, Code Review). Add more as you identify repetitive patterns. The best developer skill set is personal: it reflects your specific tech stack, team conventions, and daily workflow.
See the custom skills guide for detailed build instructions and the best custom skills collection for more templates.
Limitations
AI code skills are strong for common patterns but weaker for domain-specific business logic. The AI does not know your team’s unwritten conventions unless you encode them in the system prompt. Generated tests may need adjustment for your specific test setup. Generated documentation is a starting point, not a finished product. Always review AI-generated code changes before applying them to production code.