skills/43-wentorai-research-plugins/skills/tools/scraping/SKILL.md
6 web scraping & data collection skills. Trigger: collecting web data, finding datasets, API access for research. Design: ethical scraping methods with rate limiting and data quality checks.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research scraping-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 | |-------|-------------| | academic-web-scraping | Ethical web scraping and API-based data collection for research | | dataset-finder-guide | Search and download research datasets from Kaggle, HuggingFace, and repos | | easy-spider-guide | Guide to EasySpider for visual no-code web data collection | | google-scholar-scraper | Ethical Google Scholar data collection techniques and best practices | | repository-harvesting-guide | Harvest metadata from open repositories using OAI-PMH protocol | | web-scraping-ethics-guide | Scrape web data ethically and legally for research purposes |
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".