{"name":"mhburg-research-helper","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"mhburg-research-helper-plugins-research-helper","source":{"source":"github","repo":"mhburg/research-helper"},"description":"Helps with academic research in CS/ML/NLP: literature discovery and digestion, idea exploration, experiment design, data pipelines, and result analysis. v0.5.3 brings full arXiv API conformance: lit-scan now queries cs.CL/cs.LG/cs.AI/cs.IR/stat.ML with server-side submittedDate filtering and pagination support beyond 2,000 results, both skills follow arXiv's 1-req/3-sec ToU, and lit-digest preserves arXiv version suffixes (e.g., 2401.12345v2). Includes lit-scan (ranked, clustered literature search across Semantic Scholar + arXiv + OpenAlex, with topic-tag metadata and .env support for API keys), lit-digest (single-paper deep-dive with .env support, OpenAlex topics/arxiv IDs from OpenAlex-resolved papers, --openalex-key CLI override), experiment-design (structured experiment-spec generator), pipeline-scaffold (experiment codebase scaffolder for classification/generation/prompt-eval), and result-analyze (paired statistical analysis of multi-seed experiment outputs).","version":"0.5.3","strict":true,"keywords":["research","academic","literature-review","nlp","llm","machine-learning"],"category":"data"}]}