Process raw documents, generate summaries, and link concepts in a product LLM Wiki.
npx skills add https://github.com/Terry-Mao/AICodingFlow --skill product-wiki
Please help me install this Agent Skill. Skill: product-wiki Source: https://github.com/Terry-Mao/AICodingFlow/tree/main/.github/skills/product-wiki Command: npx skills add https://github.com/Terry-Mao/AICodingFlow --skill product-wiki
This Skill helps maintain and query the product LLM Wiki, ensuring that product knowledge is well-organized, traceable, and easily accessible for agents and maintainers.
Use the product-wiki skill to retrieve information about a specific product feature or workflow.
High-intent search queries and answers about installing and using this skill.
To structure raw product documentation for LLM knowledge management, you need a system that processes raw documents, generates concise summaries, and links related concepts together. This approach ensures product knowledge remains well-organized and traceable.
The best way to maintain consistency across a product knowledge Wiki is by enforcing structural rules through a linter contract. This mechanism automatically validates the format of product information, ensuring high quality and consistent Wiki maintenance.
Agents query a product Wiki by following structured query guidance that helps them navigate the knowledge base effectively. This allows them to quickly locate specific summaries or concept pages defining workflows, roles, and rules.
Yes, you can use Markdown processing to build a product LLM Wiki. This Skill requires Markdown processing and linking capabilities to ingest raw documents, compile summaries, and define interlinked product concept pages.
Limitations when linking concepts in an LLM Wiki include the strict reliance on Markdown processing and linking capabilities to maintain structural integrity. Without enforcing the linter contract, the traceability and consistency of linked product information may degrade.
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