How to Use Skills to Supercharge Your AI

What Are Skills?

Skills are focused instruction sets that make your AI excellent at a specific task. While souls change how your AI communicates, skills change what it can do.

Think of it this way: a soul is a personality. A skill is a superpower.

Skills vs. MCP Servers

MCP servers give AI access to external tools (databases, APIs, files). Skills give AI expertise in specific tasks using those tools — or using just its built-in capabilities.

• MCP server: "I can now access your GitHub repositories"
• Skill: "I know exactly how to review pull requests, check for security issues, verify test coverage, and write helpful review comments"

The MCP server provides access. The skill provides mastery.

Examples of Skills

Code Review

A code review skill tells your AI exactly what to look for:

• Security vulnerabilities (SQL injection, XSS, auth issues)
• Performance problems (N+1 queries, unnecessary rerenders)
• Code style and consistency
• Missing error handling
• Test coverage gaps

Without the skill, Claude reviews code generally. With it, Claude reviews code like a senior engineer with a checklist.

SQL Builder

A SQL builder skill knows:

• How to construct optimized queries
• When to use joins vs. subqueries
• Index-aware query patterns
• Database-specific syntax (PostgreSQL vs. MySQL vs. SQLite)
• How to explain the query plan

Documentation Generator

A documentation skill produces:

• API documentation from code comments
• README files from project structure
• Changelog entries from git diffs
• User guides from feature specifications

Content Writing

A content writing skill includes:

• SEO optimization guidelines
• Readability standards (Flesch-Kincaid targets)
• Structural templates (intro, body, CTA)
• Brand voice adherence rules

How to Install Skills

In Claude Code

Claude Code has built-in slash commands that function as skills. Custom skills can be added via CLAUDE.md files in your project:

markdown## Code Review Skill
When asked to review code:
1. Check for security vulnerabilities first
2. Then check for performance issues
3. Then check for code style
4. Provide specific line-by-line feedback
5. End with a summary and approval recommendation

In Claude Desktop

Add skill instructions to a Project's custom instructions. Each Project can have different skills loaded.

As Standalone Files

Many skills on a-gnt.com are downloadable instruction sets. Copy the text into your AI's system prompt or project instructions.

Building a Skill Stack

The real power comes from combining skills with tools:

Creating Custom Skills

The best skills come from documenting what you do well:

1. Pick a task you do regularly — one where you've developed a personal process
2. Write down your process step by step — be specific about decision points
3. Include examples — show the AI what good output looks like
4. Add guardrails — specify what the AI should never do
5. Test and refine — run it on real tasks and adjust

Example: If you're great at writing project proposals, document your process: "First, identify the problem. Then quantify the impact. Then propose 2-3 solutions with cost estimates. Always include a timeline and risk assessment. Keep it under 2 pages."

That's a skill. Your expertise, codified and scalable.

Browse Skills

We have 80+ skills on a-gnt.com covering code review, SQL building, documentation, writing, research, and more. Each one is ready to paste into your AI configuration.

Skills turn a general-purpose AI into a specialist. The more specific the skill, the better the results.