🦞 2026 AI Skills List
Good Morning, OpenClaw Owners!
This is beginning to behave less like software and more like an economic engine.
2026 AI Skills List
TL;DR: Alex Finn shared a list of skills he believes will define wealth creation in 2026, highlighting vibe coding, OpenClaw agents, running local models, Codex, Karpathy’s Autoresearch, and AI agent swarms. He also emphasized distribution through building an X audience and creating videos, framing the era as one where individuals combine automation, coding tools, and AI systems to build leveraged businesses.
OpenClaw Builds Pokémon Casino
TL;DR: Developer Orange said he built a Pokémon-style gambling site using OpenClaw as the sole developer, letting an AI agent handle the frontend, backend, smart contracts, and deployment. The platform runs 1v1 “pack battles” on Solana where players open tokenized card packs simultaneously and the highest total card value wins the pool.
China’s OpenClaw Gold Rush
TL;DR: MIT Technology Review reports that OpenClaw has sparked a “lobster craze” in China, creating a cottage industry around the AI agent tool. Early adopters are selling installation services, courses, skills, and preconfigured hardware to newcomers who lack technical expertise. One Beijing engineer grew a side hustle installing OpenClaw into a 100-person business with thousands of orders, as meetups, government incentives, and security warnings accompany the surge in public interest.
Nemotron 3 Super Tops Agent Benchmark
TL;DR: NVIDIA introduced Nemotron 3 Super, an open-weight 120B-parameter hybrid Mamba-Transformer MoE model built for long-running autonomous agents. The model supports a native 1M-token context and improved efficiency, and it achieved 85.6% on PinchBench, the OpenClaw coding-agent benchmark, making it the top-scoring open model. NVIDIA released weights, datasets, and training recipes for customization.
Multi-Agent Playbook for OpenClaw
TL;DR: A developer shared a tutorial explaining how he runs a six-agent autonomous system inside OpenClaw instead of using it like ChatGPT. His setup uses a manager agent that delegates tasks to specialized agents for research, strategy, writing, humanizing, and optimization. The workflow includes preserving context before memory compaction, assigning different models to specific tasks, installing ClawHub skills for real-time data, and scheduling agents to automatically generate ideas, research, and drafts each morning.
Mollick Questions OpenClaw Design
TL;DR: Wharton professor Ethan Mollick said he supports treating AI like collaborators but questioned whether OpenClaw goes too far by placing AI agents in shared communication channels alongside humans. He suggested the design may blur the boundary between people and software, sparking debate online about anthropomorphism, accountability, and how human-AI collaboration should appear in everyday workflows.
Semtools Adds OCR Skill for Agents
TL;DR: LlamaIndex cofounder Jerry Liu introduced semtools v3, a Rust-based CLI designed to parse and semantically search documents such as PDFs, DOCX, and PPTX with high OCR accuracy using LlamaParse. The tool outputs structured JSON and can run standalone or be integrated as a skill inside agent systems like Claude Code or OpenClaw for document analysis workflows.
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