VoltAgent/awesome-openclaw-skills

⭐ 48,357  ·  None  ·  GitHub Repo

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

agent-skills awesome awesome-list awesome-lists clawd clawdbot clawdbot-skill clawdhub

1-Sentence Summary

Curated, security-filtered collection of 5,200+ OpenClaw skills solving discovery chaos in the AI agent ecosystem.

🔥 Key Capabilities & USP

• Curated & Filtered Collection: From 13,729 total registry entries, 5,211 skills survive a rigorous filter removing spam, duplicates, low-quality, crypto-related, and security-concern entries. This solves the "needle in a haystack" problem of finding reliable skills in an unmoderated public registry.
• Categorized Discovery: Skills organized into 30+ logical categories (Git & GitHub, Coding Agents, DevOps, AI & LLMs) with skill count badges. Eliminates endless scrolling through an unorganized list.
• Multiple Installation Methods: Supports ClawHub CLI (clawhub install <skill-slug>), manual folder placement, or direct GitHub link pasting. Works for both power users and beginners regardless of their workflow.
• Security Notice & Tooling: Explicitly warns that skills are curated but not audited, recommends third-party scanners (Snyk, Agent Trust Hub), and highlights VirusTotal partnership. Transparent risk communication that many similar projects omit.
• Ecosystem Integration: Documents managed OAuth services (Composio), 25+ LLM providers, and deployment options (Docker, VPS). Reduces integration friction for enterprise deployments.

USP: Unlike the raw official registry, this project provides quality filtering + organized taxonomy at scale—the only curated, security-conscious gateway to the OpenClaw skill ecosystem.

Technical Architecture

Component	Description
Source	Official OpenClaw Skills Registry (ClawHub)
Storage	GitHub repository with markdown-based skill listings
Installation Paths	Global: ~/.openclaw/skills/ — Workspace: <project>/skills/
Discovery UI	Table of contents with category links + skill count badges
Authentication	Supports API key or subscription-based auth via openclaw onboard CLI
LLM Integration	25+ provider support for agent backends
Security Layer	Third-party scanners (Snyk, Agent Trust Hub) + VirusTotal partnership

Quick Start Guide

Install a skill via CLI:

clawhub install <skill-slug>

Authenticate your agent (choose one):

# API key-based auth
openclaw onboard --auth-choice openai-api-key

# Subscription-based access
openclaw onboard --auth-choice openai-codex

Manual installation: Download skill folder to ~/.openclaw/skills/ (global) or <project>/skills/ (workspace-specific).

Pros, Cons & Use Cases

Pros

• Massive curated selection (5,200+ skills) with real quality filtering
• Security-first approach with explicit warnings and third-party scanner recommendations
• Multiple installation paths accommodate different user workflows
• Active community with Discord support and regular updates
• Comprehensive categorization makes discovery intuitive

Cons

• Curated, not audited — security risk remains despite filtering
• Limited to official registry — no support for external skill repositories
• Category imbalance — some categories have as few as 28 skills (Data & Analytics)
• No built-in security scanning — relies on external tools

Who should NOT use this?

• Security-critical enterprise deployments requiring fully audited code (curation ≠ audit)
• Users needing skills from outside the official OpenClaw registry (e.g., private repos)
• Teams requiring niche, domain-specific skills in underpopulated categories
• Developers wanting raw, unfiltered access to all registry entries

Ideal Use Cases

• AI agent developers building automation workflows and needing pre-built integrations
• OpenClaw newcomers overwhelmed by the raw 13,000+ skill registry
• Teams standardizing on OpenClaw who want a curated, vetted skill baseline
• Prototyping and experimentation where speed of discovery matters over absolute security
• Community contributors looking to understand the skill ecosystem landscape

Community & Activity

With 48,357 stars, this project has clearly struck a nerve in the AI agent community. The high star count relative to its niche focus suggests strong adoption and appreciation for the curation effort. The project is actively maintained (last updated May 2026), and the Discord community provides real-time support. The combination of security consciousness, organized taxonomy, and ecosystem integration documentation makes this a de facto standard reference for anyone working with OpenClaw skills. If you're building AI agents on OpenClaw, this isn't just a nice-to-have—it's the map you need to navigate the territory.