OpenClaw vs Claude Code: How Do Their Skill Systems Compare?

Both OpenClaw and Claude Code use the SKILL.md format for agent customization. The skills are cross-compatible, but the agents handle them differently. Here's what matters if you're choosing between them or using both.

Quick Answer: OpenClaw and Claude Code both use SKILL.md skills and they're fully cross-compatible — the same file works in both without modification. The main differences are directory paths (~/.openclaw/skills/ vs ~/.claude/skills/) and context handling. Choose based on the agent you prefer, not the skill system.

How do the skill formats compare?

They're identical. Both agents read the same SKILL.md file with the same YAML frontmatter fields (name, description, context, globs) and the same markdown instruction body. A skill built for Claude Code works in OpenClaw and vice versa.

This is because both agents adopted the open Agent Skills standard. The format was originally created by Anthropic for Claude Code and published as an open specification that any agent can implement.

How does skill discovery differ?

Both agents scan skill descriptions at session startup and load the relevant skill when your request matches. The matching mechanism is similar — the agent reads your prompt, compares it to skill descriptions, and activates the best match.

In practice, both agents are equally reliable at triggering the right skill. The description quality matters more than the agent choice. If a skill's description clearly says "use when the user asks to review code," both agents will activate it for code review requests.

How does context handling differ?

Claude Code supports a context: fork option in SKILL.md frontmatter, which runs the skill as a subagent with its own isolated context window. This is useful for skills that process large amounts of data without polluting the main conversation context.

OpenClaw handles context differently based on its own architecture. The context: fork field is recognized but the isolation behavior may vary. If you're writing skills that depend on context forking, test on both agents.

For most skills — code review, testing, git automation, documentation — context handling doesn't affect behavior. The skill instructions run the same way regardless.

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How do I share skills between both agents?

If you use both OpenClaw and Claude Code, you can symlink your skills directory so both agents read from the same folder:

# Use Claude Code's directory as the source
ln -s ~/.claude/skills ~/.openclaw/skills

Or copy individual skills between directories:

cp -r ~/.claude/skills/code-reviewer ~/.openclaw/skills/

The SKILL.md file doesn't need any modification. It works in both agents as-is.

Which agent should I choose for skills?

The skill system isn't a differentiator — it's identical across both agents. Choose based on other factors: OpenClaw is open source and free, Claude Code is proprietary but backed by Anthropic's model quality. Some developers use both: OpenClaw for daily work, Claude Code for specific tasks where Anthropic's model excels.

Whichever you choose, the skills you install will work in both. That's the point of the SKILL.md open standard.

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