Claude Skills vs Cursor Rules vs Continue Commands: Best AI Coding Customization 2026

Three teams I work with picked three different AI coding assistants in 2026, and the customization story for each is wildly different. The team on Claude Code ships skills as Markdown plus scripts and shares them via a marketplace. The team on Cursor has a .cursorrules file at the repo root and that's most of the customization. The team on Continue ships custom slash commands defined in YAML config. All three work. They work differently. Picking the wrong one for your team's habits costs you weeks.

This comparison breaks down what each customization system does in 2026, where each one breaks, and how to pick.

Quick verdict

• Claude Code Skills: pick if you want reusable, composable, marketplace-shareable workflows that include tools (not just instructions)
• Cursor Rules: pick if you want a simple file-based way to give the IDE persistent instructions, and your team is already on Cursor
• Continue Custom Commands: pick if you're using Continue and want lightweight slash commands without the overhead of a skill system

If you're starting fresh and want the most expressive customization, Claude Code Skills wins on capability. If you want the simplest path, Cursor Rules is hard to beat.

Comparison table

Claude Code Skills

A skill in Claude Code is a folder with a SKILL.md file at the root, optional reference files, and optional scripts the skill can call. When Claude sees a task that matches the skill's description, it loads the skill into context and uses the instructions and tools the skill defines.

Example: an anti-ai-slop skill that scans a blog post for AI writing patterns, scores it 1-50, and outputs a rewrite. The skill includes the rules in Markdown plus the scoring rubric in a reference file. When you type "audit this blog post," Claude auto-loads the skill and applies the rules.

What's good

Skills compose. You can write a skill that calls another skill. A seo skill can hand off to anti-ai-slop for the writing scrub, then to meta-tags for the schema. This means complex workflows get encoded once and reused.

Skills can carry tools. Beyond instructions, a skill can ship Python or shell scripts that Claude executes. This makes the skill act like a specialized agent, not just a longer prompt.

Skills are shareable via marketplaces. Anthropic publishes an official set, and the community has built thousands more (we list 1,189 community skills on bestaifor.me). Sharing within a team is a /plugin install away.

What's clunky

Setup involves Markdown frontmatter, a defined description schema, and sometimes script files. The first time you write a skill takes 30-60 minutes of doc-reading. After that it's quick.

Skill auto-invocation depends on the description being well-written. If two skills sound similar, Claude picks one. You sometimes have to explicitly say "use the X skill" to override.

Cursor Rules

Cursor's customization system is .cursorrules, a plain text file at the repo root that gets prepended to every AI request Cursor makes in that workspace.

Example contents: "Use TypeScript strict mode. Prefer named exports. No default exports. When writing tests, use Vitest. Comments only when the why is non-obvious."

What's good

It's a text file. There's zero learning curve. You write rules in plain English, save, and Cursor applies them to every completion.

It's per-project by default. Each repo has its own .cursorrules, which means your React project gets React conventions and your Go project gets Go conventions automatically.

It's versionable. Commit the file like any other source file, and onboarding a new developer means they get your rules the moment they clone the repo.

What's clunky

There's no composition. One file, one set of rules. If you want to encode three different workflows (writing tests, code review, refactoring), they all share one file and Cursor applies all of it to every request, which can confuse the model.

There's no tool execution. Rules are instructions. They can't run a script, call a CLI, or check a file. They can only shape what the model writes.

There's no real marketplace. You share rules by sending people a file. Cursor's community has Gist links and example collections, but nothing as discoverable as a plugin marketplace.

In Cursor's 2026 release line, they shipped "Rules for AI" which adds nested rule files in subdirectories. This helps with monorepos. The fundamentals (no tool execution, no real composition) are still the same.

Continue Custom Commands

Continue is the open-source AI coding extension for VS Code and JetBrains. Custom commands in Continue are slash commands you define in config.json (or the newer config.yaml).

Example: define a /test command that prompts "Write Vitest tests for the currently selected code, following the patterns in tests/example.test.ts."

What's good

Continue is open source and works with any model: local Ollama, OpenAI, Anthropic, Mistral, or your own fine-tune. The customization travels with the model choice.

Custom commands give you discrete entry points. Unlike Cursor's always-on rules, you invoke /test only when you want tests. This avoids the everything-into-one-prompt problem.

The Continue Hub (added in 2026) lets you publish and share commands, similar to a small marketplace. Earlier in 2025, you had to manually copy YAML between repos.

What's clunky

YAML/JSON config feels heavier than Cursor's plain text. Less heavy than a full Claude Code skill, but still more setup than Cursor.

Tool execution is limited. Continue's commands are prompts plus model selection. They can't shell out to a script the way a Claude Code skill can. You can wire MCP servers for tool use, but that's a separate setup.

The ecosystem is smaller than Claude Code's. The Hub is younger and the catalog is sparser.

Migration paths

If you're moving teams between assistants, here's what survives the move:

• Cursor → Claude Code: copy your .cursorrules into a SKILL.md, add frontmatter, expand sections that previously relied on Cursor's always-on context
• Continue → Claude Code: each Continue command becomes a SKILL.md with a clear description and prompt body
• Claude Code → Cursor: lossy. You lose composition and tool execution. Flatten skill instructions into a single .cursorrules file
• Claude Code → Continue: each skill becomes a custom command, but you lose the auto-invocation and the script tools

If you write your workflows as Claude Code skills first, you can downgrade to the other two systems. The reverse takes more work.

What I use day-to-day

Day-to-day I'm on Claude Code, partly because skills compose and partly because the marketplace catalog keeps growing. I have about 20 skills installed locally and another 5 specific to active projects.

For quick scripts and exploratory work in VS Code, I use Cursor with a tight .cursorrules per project. The setup-to-value ratio is unbeatable when I'm just trying to ship code.

Continue I use when I'm working with a local model (Ollama on a workstation) because it's the cleanest way to swap models without losing my customization.

When to pick each

Pick Claude Code Skills if you want shareable, composable workflows, you want skills to execute scripts (not just prompt), or you're building team-wide tooling that you'll iterate on for months.

Pick Cursor Rules if your team already runs Cursor, you want the lowest-friction way to give the IDE persistent instructions, and you don't need tool execution from your customization layer.

Pick Continue Commands if you want to use local models (Ollama, LM Studio, vLLM) primarily, you prefer explicit slash-command invocation over auto-applied rules, or you're already using Continue.

FAQ

Can I use multiple systems at once? Yes, but it gets confusing. I've seen developers run Claude Code in a terminal while Cursor handles their editor. The two don't conflict because they're separate processes. Pick a primary, and treat the secondary as a fallback for specific tasks.

Do these customizations work with any model? Cursor Rules work with the model Cursor is using (which has been Anthropic-heavy in 2026 with their Sonnet/Opus integration). Continue works with any configured model. Claude Code skills are tightly bound to Claude's model and will degrade or fail on other models.

What's the security risk of installing community skills/commands/rules? Claude Code skills carry the most risk because they can include executable scripts. Always read the SKILL.md and any referenced scripts before installing from an untrusted source. Cursor Rules and Continue Commands are instruction-only, so the risk is mostly prompt-injection rather than code execution.

Will Cursor add tool execution? Probably. The trend across all three is convergence. Cursor will add more execution capability, Continue will improve its marketplace, Claude Code will simplify skill authoring. Today they're distinct enough that the pick matters.

Is this worth the time to learn for a solo dev? If you write more than 200 lines of code a week, yes. The customization layer is what turns a generic AI assistant into one that knows your stack, your conventions, and your typical tasks. Time spent encoding your patterns once pays back daily.