VoltAgent/awesome-openclaw-skills

awesome-openclaw-skills

The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞

51/100SKILL
Stars50,730
Forks4,913
LanguageUnknown
LicenseMIT

Usage guide

awesome-openclaw-skills is an open-source project around agent-skills, awesome, awesome-list with 50,730 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.

Repository license: MITCommercial use permitted, review additional terms

Key features

  • Start from the README minimum path to evaluate integration effort.
  • GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
  • The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.

Best for

  • Evaluating awesome-openclaw-skills for the repository language AI workflows.
  • Comparing a GitHub project with 50,730 stars and current repository activity.

Pros

  • awesome-openclaw-skills has visible GitHub traction with 50,730 stars. Topics: agent-skills, awesome, awesome-list.
  • The project provides an external homepage for deeper evaluation.

Cons

  • Production fit still depends on documentation depth, issue activity, and release cadence.
  • License review should confirm the MIT terms fit your use case.

Production readiness

awesome-openclaw-skills should be validated with its README, release history, open issues, and integration requirements before production use.

License risk

MIT is reported by GitHub; review the repository license before redistribution or commercial use.

awesome-openclaw-skills architecture preview

awesome-openclaw-skills's main path starts at the entry surface, runs through Agent orchestration runtime, combines LLM / model client, Runtime context, GitHub / MCP tools / Discord, and returns Assistant response / action result.

Entry

CLI / terminal entry

awesome-openclaw-skills is primarily entered through a developer command or terminal workflow.

npx clawhub install <skill-slug>

Runtime

Agent orchestration runtime

The orchestration layer plans tasks, calls tools, manages context, and decides the next action.

agent workflow

Runtime dependencies

Model

LLM / model client

The project connects its core runtime to local models or hosted AI APIs when model inference is required.

model signal

Context

Runtime context

Runtime state, user input, repository files, or configuration provide context for each task.

context signal

Tools

GitHub / MCP tools / Discord

Tool adapters let the runtime act outside the model through GitHub / MCP tools / Discord.

GitHub, MCP tools, Discord

Output

Assistant response / action result

The final result is a response, action, or task completion returned through the active channel.

assistant output

Install tutorial

Before you install

  • Node.js and the package manager used by the project
  • A clean working directory for the first test run
1
Step 1

Check the runtime environment

awesome-openclaw-skills uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.

2
Step 2

Get the project files

Start from the official repository or package so the first run matches the documented behavior.

terminal
$ git clone https://github.com/VoltAgent/awesome-openclaw-skills.git
3
Step 3

Install or build dependencies

Run the next setup command detected from the project documentation.

terminal
$ npx clawhub install <skill-slug>

Adoption guidance and sources

Practical use cases

The awesome collection of OpenClaw skills. 5,400+ skills filtered and

This is one of the documented reasons to evaluate awesome-openclaw-skills before choosing a stack.

Focus area: agent-skills

This is one of the documented reasons to evaluate awesome-openclaw-skills before choosing a stack.

SKILL project comparison

Compare awesome-openclaw-skills with similar projects before committing to a stack.

Before adopting

  • Complete one clean-environment verification using the official awesome-openclaw-skills setup path.
  • Review repository license, model weights, external services, and dependency terms for your use case.
  • Check recent commits, release cadence, issue response, and documentation depth.
  • Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.

Configuration notes

  • Review README configuration notes before using production data.

Sources checked

These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.

Troubleshooting

  • If installation fails, first confirm the command is being run from the README-specified directory.
  • If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
  • If output looks wrong, return to the smallest documented awesome-openclaw-skills example before adding complex data.
  • For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
  • Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is awesome-openclaw-skills?

awesome-openclaw-skills is an open-source skill project. The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞

How do I install awesome-openclaw-skills?

Start with the official README. The first detected setup step is: git clone https://github.com/VoltAgent/awesome-openclaw-skills.git.

Is awesome-openclaw-skills beginner-friendly?

If you already know the Unknown ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.

Can awesome-openclaw-skills be used commercially?

GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.

Does awesome-openclaw-skills need a GPU?

GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.

How should I decide whether to adopt awesome-openclaw-skills?

Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.

Star trend

49k50k51k05-1606-0706-29