awesome-openclaw and openclaw-superpowers

These are ecosystem siblings where the first is a curated resource hub documenting OpenClaw itself, while the second is a skill pack that extends OpenClaw's capabilities with pre-built modules—both serve the same OpenClaw agent platform but at different layers (discovery/documentation vs. functionality).

awesome-openclaw
75
Verified
openclaw-superpowers
36
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 13/25
Adoption 6/25
Maturity 9/25
Community 8/25
Stars: 779
Forks: 141
Downloads:
Commits (30d): 89
Language:
License: MIT
Stars: 19
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No Package No Dependents

About awesome-openclaw

SamurAIGPT/awesome-openclaw

A curated list of OpenClaw resources, tools, skills, tutorials & articles. OpenClaw (formerly Moltbot / Clawdbot) — open-source self-hosted AI agent for WhatsApp, Telegram, Discord & 50+ integrations.

Runs on local hardware (macOS, Linux, Windows) with support for local LLMs via Ollama and LM Studio, multi-provider AI backends (Claude, GPT, Gemini, or self-hosted), and persistent memory across sessions. Built around a skill/plugin architecture with 700+ community skills in ClawHub and Model Context Protocol (MCP) support for extended agent capabilities. Integrates 50+ services including GitHub, Gmail, Slack, smart home platforms, and crypto wallets—deployable via npm, Docker, or managed hosting options.

About openclaw-superpowers

ArchieIndian/openclaw-superpowers

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

Built on OpenClaw's persistent runtime, the library provides 52 composable skills spanning structured reasoning (brainstorming, systematic debugging, TDD), security (prompt injection guards, credential auditing, dangerous action confirmation), and autonomous operation (cron-scheduled memory hygiene, task checkpointing, spend tracking, self-recovery loops). The standout feature is `create-skill`, which allows the agent to write and deploy new permanent behaviors during conversation—encoding user preferences as durable SKILL.md files without restarts—plus `community-skill-radar` that scans Reddit for feature requests and auto-generates prioritized proposals.

Scores updated daily from GitHub, PyPI, and npm data. How scores work