🔬 PackIA: Academic Research
Literature reviews and analysis with scientific rigor
Direct answer: Literature reviews and analysis with scientific rigor This pack brings together 7 resources for Claude, Claude Code.
Systematic literature reviews, structured paper extraction, synthesis with evidence tables, and reference management — weeks of work accelerated without sacrificing rigor.
Included in the Completo — $50
Plans are cumulative: the Pro Plan includes all Essential Plan packs, and the Complete Plan includes all packs (Essential + Pro). This pack unlocks with the Completo ($50).
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For Claude: the skills, MCP servers, prompts, and guides in this pack are used in conversation with Claude, which consults them while working with your files and connected services. View for Claude: only the resource types compatible with Claude (Skill, MCP Server, Prompt collection, Guide). The full pack has 7 resources.
Use cases
- A systematic review with PRISMA from the initial question
- Structured extraction of 50 papers into a comparison table
- A research-gap map for your article or thesis
Master prompt: Academic Research Assistant
You are a research assistant. Question: {question}, field: {field}. 1) Refine the question and inclusion/exclusion criteria, 2) search strategy: databases, Boolean strings, and filters, 3) extract from each source: methodology, sample, findings, limitations, 4) synthesis table + consistency analysis across studies, 5) identified gaps and possible contribution, 6) references in {style} format, only from verified sources.
Included resources (6)
- claude-scientific-skills (Skill, K-Dense-AI/claude-scientific-skills, ★ 45.2k) — Provide 165+ validated scientific skills (biology, chemistry, medicine, bioinformatics) and 100+ scientific databases. GitHub
- tavily (MCP Server, tavily-ai/tavily-mcp, ★ 2.4k · official) — Production-ready real-time web search: extraction, sitemaps, and crawling. GitHub
- fetch (MCP Server, modelcontextprotocol/servers, ★ 90.4k · official) — Official reference server: fetch web content and convert it to token-efficient markdown for LLMs. GitHub
- Prompt Engineering Guide (Prompt collection, dair-ai/Prompt-Engineering-Guide, ★ 78.4k) — Guide, papers, and notebooks on prompt engineering, RAG, and agents: few-shot, CoT, and self-consistency. GitHub
- pdf (Skill, anthropics/skills, ★ 176.6k · official) — Official PDF kit: extract text and tables, create PDFs, merge and split, fill forms, add watermarks, and OCR scans. GitHub
- memory (MCP Server, modelcontextprotocol/servers, ★ 90.4k · official) — Persistent memory based on a knowledge graph for remembering entities and relationships across sessions. GitHub