tohnee
@tohnee
Public Skills
llm-architecture-tracker
by tohnee
Continuously research, analyze, and report on the world's leading large language models — their architecture, capabilities, and pricing. Use this skill whenever the user wants to track, compare, survey, or deep-dive into frontier LLMs (OpenAI/GPT, Anthropic/Claude, Google/Gemini, DeepSeek, GLM/Z.ai, Kimi/Moonshot, Xiaomi MiMo, Qwen, StepFun, Mistral, Llama, NVIDIA Nemotron, MiniMax, and others). Trigger it for requests like "update me on the latest models", "compare model X and Y architectures", "generate an LLM landscape report", "what changed in DeepSeek V4", "build me a model comparison", "track new releases", "what are the top models on OpenRouter", or any request that involves collecting model technical reports / HuggingFace cards / ModelScope / OpenRouter usage + pricing and turning them into a rigorous architecture-and- capability analysis. Also use it to produce the recurring HTML research report. Use this even when the user only names one model or asks a seemingly simple "what's new" question — the value is in the systematic, sourced, architecture-level analysis this skill enforces.
llm-architecture-tracker
by tohnee
Continuously research, analyze, and report on the world's leading large language models — their architecture, capabilities, and pricing. Use this skill whenever the user wants to track, compare, survey, or deep-dive into frontier LLMs (OpenAI/GPT, Anthropic/Claude, Google/Gemini, DeepSeek, GLM/Z.ai, Kimi/Moonshot, Xiaomi MiMo, Qwen, StepFun, Mistral, Llama, NVIDIA Nemotron, MiniMax, and others). Trigger it for requests like "update me on the latest models", "compare model X and Y architectures", "generate an LLM landscape report", "what changed in DeepSeek V4", "build me a model comparison", "track new releases", "what are the top models on OpenRouter", or any request that involves collecting model technical reports / HuggingFace cards / ModelScope / OpenRouter usage + pricing and turning them into a rigorous architecture-and- capability analysis. Also use it to produce the recurring HTML research report. Use this even when the user only names one model or asks a seemingly simple "what's new" question — the value is in the systematic, sourced, architecture-level analysis this skill enforces.