October 2025: Anthropic launches Claude Skills. A folder with a SKILL .md file, YAML frontmatter, optional scripts. Claude auto-loads them based on relevance. No manual trigger needed. December 2025: Anthropic publishes the format as an open standard. Any agent can adopt it.
AI
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Comparative Analysis of ‘Skills’ Features in Claude, Perplexity, and Grok
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Three companies launched a feature called "Skills" in the last 8 months. Claude. Perplexity. Grok. Same name. Completely different products. And one detail most people missed: Anthropic didn't just build Skills first. They open-sourced the standard that the other two are now
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The shift from pure LLMs to neurosymbolic AI architectures
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The pure LLM debate – which I had for many years, here and elsewhere – is indeed no longer relevant. Why? Because I won; nobody uses pure LLMs anymore. Nowadays all deployed objects are neurosymbolic, which was exactly the point of my infamous 2022 paper, Deep Learning is
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Automated 4-phase reality check workflow for Claude
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Now every time you ask Claude for a reality check, it runs the full 4-phase analysis automatically. No re-pasting. No setup. Just ask and it delivers. Follow @godofprompt for more prompts like this.
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Clear communication as the foundation of effective prompt engineering
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Prompt engineering is just communication with a specific audience. The "best prompt template" won't fix unclear thinking. The "perfect framework" won't fix vague instructions. Learn to communicate clearly, and every model gets better.
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Understanding Model-Specific Prompt Engineering and Audience Analysis
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Theory 3: Audience Analysis (Aristotle to today) The oldest communication principle: know who you're talking to. In prompting, your "audience" is the model. And every model processes differently. Claude reads system prompts differently than ChatGPT. Gemini handles long context
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Humanoid robot outlasts human in package-sorting endurance test
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A human just barely beat a humanoid robot at sorting packages. 12,924 vs. 12,732 over 10 hours. The human's forearm is "basically broken." The robot is still going. 131,000 packages. 106 hours. No breaks. The scoreboard tells one story. The endurance tells another.
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Anthropic releases open-source Claude plugin suite for legal professionals
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/4 Anthropic ships free open-source legal tool that drafts contracts in minutes. Anthropic just shipped claude-for-legal, a free, open-source plugin suite that turns Claude into a legal assistant. It covers 10+ practice areas, from contracts to litigation to AI governance.
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NVIDIA-backed sparsity optimization for faster LLM training and inference
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/2 NVIDIA-backed sparsity trick makes LLM training and inference 20% faster on H100s. AI models already do less math than you'd think. Over 95% of neurons stay silent for any given word processed. That's free efficiency, right? Not quite. The problem: GPUs hate irregular work.
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Running 284B Parameter Models Locally on MacBook Pro
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/1 Garry Tan tests a 1M token coding model running locally on a MacBook Pro. Antirez, the person who built Redis, just shipped ds4: a custom engine that runs DeepSeek V4 Flash, a massive 284B parameter AI model, fully on your MacBook. No cloud. No API costs. How is that even