AI-Powered Query Skill for Local LLM Wiki Insights

AI-Powered Query Skill for Local LLM Wiki Insights

The AI-Powered Query Skill for Local LLM Wiki Insights allows users to effectively query their local Wiki knowledge base for information retrieval and synthesis. Through structured searches, users can identify and compile insights from existing content, enhancing their use of local documentation resources.

What this skill does

• Processes user queries in the form of /query <question>.
• Initiates by examining index.md to locate relevant content pages.
• Performs in-depth reading and extraction from papers, concepts, connections, questions, and syntheses within the local Wiki.
• Generates answers with clear bidirectional [[links]] to related content.
• Proactively suggests the creation of new synthesis or connection pages when new insights arise from answers.
• Operates within the constraints defined by the .dsh/wiki.config.json file, ensuring path configurations are respected.
• If necessary, uses grep for supplementary keyword searches within the wiki/ directory.
• Handles downgrade scenarios by informing users when topics fall outside the scope of the current wiki content.

Who it is for

• Developers leveraging AI coding assistants like Claude Code, Cursor, and Codex.
• Teams maintaining internal documentation and seeking efficient query handling.
• Software engineers working with local knowledge bases and requiring structured information retrieval.

Use cases

• Retrieving comprehensive answers to questions regarding specific papers and concepts documented in the local Wiki.
• Exploring relationships between different scientific concepts and documents.
• Documenting new insights effectively within a Wiki-based environment.
• Maintaining accuracy in answers by querying the established knowledge base first before resorting to general knowledge inference.

Technical details

• Depends on Python scripts for Wiki setup and environment configuration.
• Operates based on configurations found in .dsh/wiki.config.json, avoiding hardcoded path dependencies.
• Incorporates keyword search functionalities leveraging grep and glob commands for file matching.
• Compatible with AI development environments using agents such as Claude Code.

Source & Licence

This package is built on open-source work published by lkhfrgc (lkhfrgc/scholar-llm-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.