wp-a

wp-a/nature-academic-search

Plugin Claude Code

Plugin marketplace listing 1 plugin: nature-academic-search.

wp-a/nature-academic-search

Skill Claude CodeCodex

Use when users ask to 找文献、做文献检索、查论文、查临床试验、核验引用、去重文献、设计 PubMed/MeSH 检索式、追踪上下游引文、解析 DOI/PMID/PMCID/arXiv/OpenAlex/Semantic Scholar/NCT ID， 或导出 RIS、BibTeX、NBIB、ENW；also use for multi-source academic search, citation verification, citation graphs, trial registration search, research workflows, or DeepSeek Harness…

wp-a/nature-academic-search

Plugin Claude Code

Academic Paper Search for Codex, Claude Code, and DeepSeek Harness across CrossRef, PubMed, arXiv, OpenAlex, Europe PMC, Semantic Scholar, and ClinicalTrials.gov, with bounded citation graphs, auditable research workflows, and optional WPIRONMAN AI relay model access at https://api.wpironman.top; the relay is not a…

wp-a/nature-academic-search

MCP server Claude CodeCodexCursor +2

Academic Paper Search with verified multi-source literature, citation graphs, and trial workflows. Runs locally from the nature-academic-search Python package.

wp-a/paper2ppt

Plugin Claude Code

A Claude Code plugin directory for Paper2PPT, a tool that turns academic papers into editable Chinese PowerPoint files with source tracking, speaker notes, and quality checks.

wp-a/paper2ppt

Skill Claude CodeCodex

Use when a user wants an editable PowerPoint or PPTX made from a scientific or academic paper, paper PDF, DOI, PMID, arXiv link, article text, abstract with figure legends, or research notes for a journal club, group meeting, lab meeting, paper sharing, thesis seminar, or research talk; also when they ask for 论文转PPT…

wp-a/paper2ppt

Plugin Claude Code

A plugin that converts academic papers into editable, traceable Chinese PowerPoint files, with presentation scripts and quality checks. The input does not provide further details about how it works.

wp-a/gpt-5.6-prompt-engine

Skill Claude CodeCodex

Use when creating, auditing, rewriting, debugging, migrating, or evaluating GPT-5.6 Sol, Terra, or Luna prompt layers, tool descriptions, agent briefs, or prompt stacks; choosing runtime configuration; or comparing controlled prompt candidates.