Awesome OpenClaw Skills Repository Provides 5,400+ Filtered Skills
The awesome-openclaw-skills GitHub repository provides a curated collection of 5,400+ OpenClaw skills that have been filtered and categorized from the official OpenClaw Skills Registry.
Key Details
The repository includes 1,715+ production-ready skills that your AI agent can install in seconds using a single CLI command. According to the source, there's no messy setup, no need to write API wrappers from scratch, and no waiting required.
The skills cover various capabilities including:
- Browser automation
- Kubernetes management
- Image generation
The repository is open source and available at no cost. The collection represents filtered and categorized skills from the official OpenClaw Skills Registry.
For developers working with AI coding agents, this type of repository can be useful for quickly expanding agent capabilities without manual implementation work. The one-command installation approach reduces setup friction compared to manually integrating individual skills.
📖 Read the full source: r/openclaw
👀 See Also
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Manifest, an open source routing layer for OpenClaw, now supports MiniMax token plans starting at $10/month. The new MiniMax M2.7 model is specifically trained for OpenClaw workflows and scores 62.7 on MM-ClawBench and 56.2 on SWE-Bench Pro.
PocketTeam: A Claude Code Pipeline with Hook-Based Safety and Learning Agents
PocketTeam is a Claude Code pipeline that implements 9 safety layers at the tool-call level to block dangerous operations like writes to .env or rm -rf commands. The system includes an Observer agent that analyzes completed tasks and writes structured learnings to improve future agent performance.
SWE-rebench-V2 Released: Largest Open Multilingual Dataset for Code Agent Training
Nebius has released SWE-rebench-V2, currently the largest open dataset for training coding agents, featuring an automated pipeline for extracting RL environments at scale and designed specifically for large-scale reinforcement learning training.