Claude Code Skills vs Cursor Rules: Differences (2026)

Claude Code skills and Cursor rules solve the same problem: teaching an AI coding assistant your project’s conventions. But they differ fundamentally in scope, power, and how they integrate into your workflow. This comparison helps you understand both systems, choose the right one for your setup, and migrate between them if you switch tools. Browse available Claude Code skills with the Skill Finder.

Architecture Comparison

Aspect Claude Code Skills Cursor Rules
File format Markdown (.md) Markdown (.mdc or .cursorrules)
Location CLAUDE.md, .claude/skills/ .cursor/rules/, .cursorrules
Loaded when Session start Per-request (auto or manual)
Scope Global or project Global, project, or file-pattern
Execution model Part of system prompt Injected into context per request
Tool integration Full (Bash, Read, Write, etc.) Limited (Composer agent mode)
Headless support Yes (CI/CD) No
Max size Limited by context window ~2,000 tokens per rule

How Claude Code Skills Work

A skill is a markdown document loaded into Claude Code’s system prompt at session start. Every message in the session sees the skill’s instructions. This means:

  • Skills apply consistently across all messages in a session
  • Skills cannot be conditionally loaded based on file type (all or nothing)
  • Skills consume context tokens for every message, even unrelated ones
  • Skills persist until you remove them or start a new session without them
# In CLAUDE.md or .claude/skills/api-conventions.md
## API Conventions
- All endpoints return { status, data } or { status, error }
- Authentication via Bearer token in Authorization header
- Rate limit: 100 req/min per API key
- Pagination: cursor-based, not offset

Claude Code reads this once at session start and follows it for every API-related task in the session.

How Cursor Rules Work

Cursor rules are markdown files in .cursor/rules/ that can be loaded automatically based on file glob patterns or manually via @rules in the chat.

---
description: TypeScript API conventions
globs: ["src/api/**/*.ts", "src/routes/**/*.ts"]
alwaysApply: false
---
# API Conventions
- Use Zod for request validation
- Return typed responses using ApiResponse<T>
- Log errors with Winston, never console.log

The key differences:

  • Glob-based activation: Rules load only when you are working on matching files. An API rule does not consume tokens when you are editing a React component.
  • Manual activation: Rules with alwaysApply: false only load when you explicitly reference them with @rules.
  • Per-rule size limits: Each rule is capped at roughly 2,000 tokens, encouraging focused, small rules.

Where Claude Code Skills Win

1. Full Tool Access

Claude Code skills can instruct the agent to run commands, read files, write files, search codebases, and execute arbitrary bash commands. A skill that says “always run npm test after editing a test file” will actually trigger the Bash tool.

Cursor rules inform the agent but cannot directly trigger tool execution. The agent must decide whether to act on the instruction independently.

2. Headless and CI Mode

Claude Code skills work in headless mode, meaning they apply in CI/CD pipelines, automated code review bots, and background agents. Your conventions follow your code into production workflows.

# Skills apply even in headless mode
claude --headless --message "Review the latest PR for security issues"

Cursor has no headless mode. Rules apply only inside the IDE.

3. Session-Wide Consistency

Because skills load once and persist, Claude Code follows the same conventions across a multi-step task. If you ask it to “refactor the auth module” (which spans 10+ tool calls), every call follows the skill.

Cursor rules reload per-request, which can cause inconsistencies in long operations if the rule context changes between steps.

4. Multi-File Skills

A single Claude Code skill can contain comprehensive project conventions spanning multiple domains (API, database, testing, deployment) in one cohesive document. This is practical because the session model means you pay the token cost once.

# Full-Stack Conventions (single skill, ~400 words)
## API Layer: ...
## Database Layer: ...
## Testing: ...
## Deployment: ...

Where Cursor Rules Win

1. Conditional Loading (Globs)

Cursor’s glob-based activation is a genuine advantage. A Python linting rule only loads when editing Python files. A CSS naming convention only loads for stylesheets. This reduces token waste.

Claude Code skills load for every message regardless of relevance. If you have a Python-specific skill but are editing JavaScript, the Python skill still consumes tokens.

2. Granular Organization

Cursor encourages many small rules (one per concern), each with its own glob pattern. This creates a well-organized rule library:

.cursor/rules/
  typescript-conventions.mdc
  react-patterns.mdc
  api-error-handling.mdc
  database-queries.mdc
  test-conventions.mdc

Claude Code supports this structure via .claude/skills/, but without glob-based loading, the benefit is organizational rather than functional.

3. IDE Integration

Cursor rules are tightly integrated with the IDE. You can see which rules are active, toggle them on/off via UI, and preview their effect before applying. Claude Code is terminal-based, so skill management is done via file system commands.

4. Lower Barrier to Entry

Cursor rules are simpler to create. No awareness of token budgets, no concern about context window management. Write a rule, save it, done. Claude Code skills require understanding of token economics and context management for optimal use. The CLAUDE.md generator helps bridge this gap.

Migration: Converting Between Formats

Cursor Rules to Claude Code Skills

# Read a Cursor rule
cat .cursor/rules/api-conventions.mdc
# Strip the YAML frontmatter (description, globs, alwaysApply)
# Keep the markdown body
# Save as Claude Code skill
cp .cursor/rules/api-conventions.mdc .claude/skills/api-conventions.md
# Edit to remove YAML frontmatter

The content is compatible. Remove the Cursor-specific frontmatter and the rule becomes a Claude Code skill.

Claude Code Skills to Cursor Rules

# Add Cursor frontmatter to a Claude Code skill
cat > .cursor/rules/api-conventions.mdc << 'EOF'
---
description: API conventions for the project
globs: ["src/api/**/*.ts"]
alwaysApply: false
---
# Paste your Claude Code skill content here
EOF

Add glob patterns to target the right files. Split large Claude Code skills into multiple smaller Cursor rules (one per concern).

Which Should You Choose?

If You… Choose
Work primarily in the terminal Claude Code Skills
Work primarily in VS Code Cursor Rules
Need CI/CD integration Claude Code Skills
Have a polyglot codebase Cursor Rules (glob targeting)
Want simplest setup Cursor Rules
Need full agentic execution Claude Code Skills
Use both tools Both (maintain parallel configs)

Many developers use both tools. The Model Selector can help you decide which Claude model to pair with Claude Code for different task types.

Try It Yourself

If you are evaluating Claude Code skills, start by browsing what is available. The Skill Finder catalogs 150+ skills with descriptions, install commands, and categories. Many are directly portable from Cursor rules.

Try the Skill Finder –>

Common Questions

Can I use both Claude Code and Cursor on the same project? Yes. Many developers use Cursor for in-IDE autocomplete and agent mode, and Claude Code for terminal-based complex tasks and CI automation. Maintain both .cursor/rules/ and .claude/skills/ directories. The content will be similar but formatted differently.
Which has a larger skills/rules ecosystem? Cursor rules have a larger ecosystem as of early 2026 because Cursor has been available longer and has more IDE users. Claude Code's skill ecosystem is growing rapidly, driven by the headless/CI use case that Cursor does not address. The Skill Finder currently indexes 150+ Claude Code skills.
Do skills and rules affect AI output quality equally? Both systems inject instructions into the AI context, so the quality impact is similar. The difference is when and how often the instructions are loaded. Cursor's targeted loading can provide more relevant context per request, while Claude Code's session-wide loading provides better consistency across multi-step tasks.
Is there a performance difference? Cursor rules can be slightly more token-efficient due to glob-based loading (only relevant rules consume tokens). Claude Code skills consume tokens for every message regardless. For a project with 5 skills at 500 tokens each, Claude Code pays ~2,500 extra tokens per message compared to Cursor's targeted approach.

Estimate usage → Calculate your token consumption with our Token Estimator.