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Cohere Streaming Events and Connector Implementation
cohere-webhooks-events
jeremylongshore/claude-code-plugins-plus-skills
179
This comprehensive guide demonstrates how to implement robust, real-time streaming UIs using Cohere's `chatStream` method. It details handling various event types, including content deltas, citation information for RAG, and structured tool call streams. A practical example is provided for creating a Server-Sent Events (SSE) endpoint, making it ideal for front-end integration with advanced AI features.
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Positioning Novelty in ML Research Papers
icml-related-work
brycewang-stanford/Awesome-Journal-Skills
317
This guide provides structured methodologies for authors to position their research within the context of existing literature and concurrent submissions at top-tier machine learning conferences (e.g., ICML, NeurIPS). It emphasizes identifying the technical delta, addressing novelty concerns, and properly citing related work to maximize acceptance chances.
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Positioning Machine Learning Related Work
neurips-related-work
brycewang-stanford/Awesome-Journal-Skills
334
This skill guides authors on how to strategically position their machine learning research against complex academic landscapes. It covers comparing work to neighboring conferences (ICML, ICLR), analyzing contemporaneous preprints, and defining the exact technical delta from prior methods to minimize novelty risk for top-tier AI venues.
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Establishing Scientific Novelty in AI Research
prai-related-work
brycewang-stanford/Awesome-Journal-Skills
192
This guide teaches how to structure the "Related Work" section for top-tier AI journals, focusing on demonstrating the novel incremental contribution (delta) rather than simply listing existing literature. It covers positioning the work within ML/CV/NLP, defining novel problem dimensions, and structuring rigorous comparison tables to withstand external review scrutiny.
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