Cs229 2019 Summer
maxim5
All notes and materials for the CS229: Machine Learning course by Stanford University
OPENAGENTSKILL / DIRECTORY
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Results: 55
maxim5
All notes and materials for the CS229: Machine Learning course by Stanford University
curiousily
Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranki…
agentmarkup
Install, configure, audit, and fix AgentMarkup machine-readable website metadata in JavaScript web repos. Use when adding @agentmarkup/vite, @agentmarkup/astro, @agentma…
vitaecontext
Optimize personal website and web portfolio discoverability, crawlability, metadata, structured data, content usefulness, and AI-readable signals. Use when the user asks…
wanshuiyin
Phase-1 (S7 of the comic-author suite) — turn ONE locked panel_spec into a deterministic content-SVG blueprint that becomes the bake condition (reference #1 of the agent…
mingdui
在风险分析完成后、写测试代码之前,生成中文业务用例并等待用户确认。这是整个 QA 流程中唯一的强制人工门禁——确认后不可回头改用例。 从 context、risk-analysis、已有用例索引出发,生成只含业务行为的 test-cases.json(不含技术检查如 Maven/build/安装), 渲染 test-cases.html…
sergekostenchuk
Design human-visible, machine-readable website layers for AI assistants, RAG, and agentic search. Use this skill when the user asks for llms.txt, LLM discovery plans, vi…