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AI Skill: Expert Academic Query Answering for Research Wikis

AI Skill: Expert Academic Query Answering for Research Wikis

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Works withClaude CodeCursorCodex
AI Skill: Expert Academic Query Answering for Research Wikis

AI Skill: Expert Academic Query Answering for Research Wikis

Regular price £3.99
Regular price £3.99 Sale price
SAVE Sold out

AI Skill: Expert Academic Query Answering for Research Wikis

This AI skill facilitates detailed responses to research questions based on content from research wikis. It navigates sources, clusters information, synthesizes findings, and references the relevant wiki pages for comprehensive answers.

What this skill does

  • Handles research questions by accessing data from a specified research wiki.
  • Follows a structured workflow to query information accurately, as outlined in `AGENTS.md` using Workflow 2: QUERY.
  • Processes and synthesizes information from relevant wiki clusters and related pages.
  • Generates answers with citations, indicating the wiki pages utilized.
  • Creates a visual representation of the connections between the pages used by executing `python3 scripts/wiki.py graph --around`, outputting a Mermaid diagram.

Who it is for

  • Developers working with AI coding agents such as Claude Code, Cursor, and Codex.
  • Research teams requiring precise query handling for scientific, academic, or educational content.
  • Data scientists and analysts needing structured information synthesis from specialized wikis.

Use cases

  • Providing detailed, reference-supported answers for academic projects using data from research wikis.
  • Facilitating the research and development processes by organizing complex information into understandable formats.
  • Supporting data analysis tasks where information needs to be traced and visually represented for clarity.

Technical details

  • Integrates with AI coding environments using Claude Code, Cursor, and Codex.
  • Employs tools categorized under academic-research, aiapplication, and query for specific functionality.
  • Utilizes Python scripts to generate diagrams illustrating the interconnection of referenced pages.

Source & Licence

This package is built on open-source work published by MetamusicX (MetamusicX/zissa-wiki) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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