skills/43-wentorai-research-plugins/skills/tools/document/SKILL.md
10 document processing skills. Trigger: extracting text from PDFs, parsing references, document Q&A. Design: parsing pipelines (GROBID, marker) and structured extraction tools.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research document-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | anystyle-api | Citation reference parser using machine learning | | docsgpt-guide | Deploy DocsGPT for private document analysis and research knowledge bases | | grobid-pdf-parsing | Extract structured text, metadata, and references from academic PDFs | | large-document-reader | Split and read long documents chapter-by-chapter for structured analysis | | markdown-academic-guide | Write academic papers in Markdown with Pandoc for multi-format output | | paper-parse-guide | Deep dual-mode reading of academic papers from PDF or URL sources | | pdf-extraction-guide | PDF parsing, text extraction, and document format conversion | | zotero-addon-market-guide | Plugin marketplace and discovery platform for Zotero | | zotero-night-theme-guide | Dark mode theme plugin for Zotero reference manager | | zotero-style-guide | Feature-rich Zotero plugin for UI customization and styling |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".