OpenClaw Skills Guide

What Is the OpenClaw Skill System?

The OpenClaw skill system packages repeatable instructions for an agent. A skill explains when it should be used, what inputs it expects, which tools or services it may call, and what result the agent should produce.

A good skill has three parts: a clear trigger, a bounded workflow, and a verification step. The trigger helps the agent decide whether the skill applies. The workflow tells the agent what to do. The verification step tells the agent how to confirm that the task is complete.

Skills can live in a project workspace or in a shared OpenClaw skills directory such as ~/.openclaw/skills. Workspace skills are useful for team-specific conventions. Global skills are useful for workflows you reuse across projects.

A skill is not the same as a full safety system. It can guide behavior, but it does not automatically make file access, network calls, secrets, or production changes safe. Review permissions and run new skills in a low-risk workspace first.

The awesome-skills Repository: What's Inside

An awesome-skills repository is usually a community-curated list of OpenClaw skills. It may include links to skills for GitHub workflows, issue triage, research, documentation, database checks, deployment reviews, or personal productivity.

Do not treat an awesome list as automatically official or trusted. Before installing a skill, check the repository owner, recent commits, open issues, license, install instructions, and any scripts or configuration files included with the skill.

Use ClawHub when you want registry-style discovery. ClawHub can provide install metadata and security scan information, which makes it easier to compare skills before use.

A practical review flow is simple: read the SKILL.md, inspect any referenced scripts, identify required tools, check whether credentials are needed, and confirm whether the skill can read, write, or transmit sensitive data.

How to Install a Skill in 3 Steps

1. Review the skill before installation. Read SKILL.md, check the source repository, and identify required tools, credentials, environment variables, filesystem access, and network access.
2. Install the skill from ClawHub, Git, or a local directory. Prefer a pinned Git reference when installing from a repository so the installed version is predictable.
3. Verify the skill in a low-risk workspace before enabling broad permissions or using production data.

openclaw skills install <slug>
openclaw skills verify <slug>

Install a Git source with:

openclaw skills install git:owner/repo@ref

After installation, run a small test task with non-production data. Confirm that the agent selects the skill only when the trigger matches, follows the intended workflow, avoids unrelated files, and produces a result you can inspect.

If the skill needs credentials, grant the narrowest scope possible. For example, prefer repository-level access over organization-wide access and read-only access over write access when the workflow does not need writes.

Anatomy of a Skill JSON5 File

OpenClaw skills are primarily defined by SKILL.md, not by one universal skill JSON5 file. The section title reflects a common search pattern, but the important distinction is that skill instructions and runtime configuration are separate.

A minimal SKILL.md usually includes frontmatter and clear instructions:

---
name: example-skill
description: Use this skill when updating changelog entries from merged pull requests.
---

# Instructions

1. Read the merged pull request titles and descriptions.
2. Group changes by feature, fix, documentation, and maintenance work.
3. Update the changelog in the project format.
4. Verify that every included item links back to its pull request.

The name should be unique and stable. The description should be specific because it helps the agent decide when the skill is relevant. Avoid broad descriptions such as "use this for coding" because they can cause the skill to trigger too often.

JSON5 belongs in configuration files such as openclaw.json when the runtime supports that format. Use configuration for allowed roots, tool settings, and environment behavior. Use SKILL.md for the workflow the agent should follow.

Writing Your First Custom Skill

Start with one narrow workflow. A small, reliable skill is easier to test than a broad skill that tries to handle every coding, research, or operations task.

Create a skill directory:

skills/my-skill/

Add SKILL.md inside that directory. Give the skill a clear name, a specific trigger description, a short list of required tools, and a verification step.

A useful custom skill answers these questions:

• When should the agent use this skill?
• What input does the workflow need?
• Which files, commands, APIs, or services may the agent use?
• What should the agent avoid?
• How should the agent verify success?

Keep the instructions direct. Use numbered steps for ordered workflows and bullets for rules or constraints. Include examples when the skill depends on project-specific naming, branch conventions, changelog formats, test commands, or release procedures.

Test the skill in a low-risk workspace. Ask the agent to perform a small representative task, inspect the changed files or output, and revise the trigger if the skill activates too broadly or too rarely.

Before testing a custom skill in a fresh workspace, confirm the local setup matches How to Install OpenClaw so tool access and paths behave predictably.

For source-level validation, the official documentation is worth checking after you understand the OpenClaw Skills Guide workflow described here.

Publishing Skills to ClawHub Marketplace

ClawHub is the public registry for discovering and distributing OpenClaw skills. Publish only skills that are documented, scoped, and safe for other users to inspect.

Before publishing, prepare the package:

• Confirm that SKILL.md has a unique name and specific description.
• Remove secrets, private prompts, internal URLs, customer data, and environment-specific assumptions.
• Document required tools, credentials, permissions, and expected outputs.
• Add a license and version information if the distribution flow supports them.
• Test installation in a clean workspace.

Use the current ClawHub CLI and publisher flow. Validate metadata before publishing.

clawhub sync --all

After publishing, maintain the skill like a small software package. Track changes, review issues, document breaking changes, and update permissions when the workflow changes. If a skill starts requiring broader access than before, call that out clearly in the release notes.

After publishing, use the OpenClaw Mission Control Dashboard to monitor how deployed skills behave across active workflows.

When details such as limits or setup steps matter, the GitHub project can help confirm the latest implementation surface.

Debugging Skills: Invalid JSON5 and Config Errors

When a skill does not load, debug from the file outward. Start with the skill file, then the directory path, then runtime configuration, then permissions and tools.

Check these items first:

• The file is named SKILL.md exactly.
• The file lives inside an allowed skill root, such as the workspace skills directory or ~/.openclaw/skills.
• The frontmatter is valid and includes a unique skill name.
• The description is specific enough for the agent to match the skill to the right task.
• Required tools are installed and available in the workspace.
• Required credentials or environment variables are present.
• The skill does not conflict with another skill that has the same name or overlapping trigger.

If openclaw.json fails, validate the JSON5 separately and restore the last known working configuration. Common configuration errors include trailing syntax mistakes, incorrect root paths, invalid tool names, and permission settings that block the skill from reading its own directory.

If the skill loads but behaves poorly, revise the instructions. Add a clearer trigger, narrow the allowed actions, include an explicit stop condition, and add a verification step. For higher-risk work, use isolated worktrees and code review so a bad skill run does not directly affect the main branch.

Verdent is useful around this workflow because it clarifies requirements before the agent starts, runs work in isolated branches, supports parallel execution, and adds review after the agent completes the task.

On local Apple hardware, OpenClaw on Mac Mini can help you check path, permission, and tool differences before blaming the skill file itself.

Before you budget a real project around OpenClaw Skills Guide, compare the claims here with Reddit.

Top 10 Community Skills Worth Installing

There is no permanent top-ten list because useful skills depend on your stack, permissions model, and team workflow. Start with categories that solve a real recurring task.

Common skill categories include:

1. GitHub and pull request summaries.
2. Issue tracking and ticket updates.
3. Web research and source collection.
4. Calendar and meeting workflows.
5. Email triage and response drafting.
6. Document summaries and knowledge extraction.
7. Monitoring alerts and incident notes.
8. Database query assistance.
9. Deployment checks and release preparation.
10. Personal knowledge search.

Choose a community skill when it saves repeated manual work and its permissions match the risk of the task. Avoid installing broad skills that request access to many services without a clear reason.

Review every community skill as untrusted code. Read the instructions, inspect any scripts, verify the source, and test the skill with limited data before using it in production workflows.

Verdent includes its own development workflow for planning, parallel execution, worktree isolation, and code verification. That means you can use OpenClaw skills for focused task instructions while relying on Verdent for the wider operating layer around software changes.