Configure the qmd CLI for semantic search indexing and embedding generation.
npx skills add https://github.com/zircote/mnemonic --skill qmd-setup
Please help me install this Agent Skill. Skill: qmd-setup Source: https://github.com/zircote/mnemonic/tree/main/skills/qmd-setup Command: npx skills add https://github.com/zircote/mnemonic --skill qmd-setup
This Skill automates the setup of @tobilu/qmd for semantic search over mnemonic memories, ensuring your memories are easily searchable by meaning.
Run the automated setup script to configure qmd for mnemonic memories.
High-intent search queries and answers about installing and using this skill.
Setting up semantic search for mnemonic involves running an automated script that configures the qmd CLI to register memory collections, build search indexes, and generate vector embeddings.
Semantic search in the mnemonic memory system creates vector embeddings, enabling you to retrieve memories based on conceptual queries and meaning rather than relying solely on exact keyword matches.
Yes, configuring qmd for semantic search requires Node.js version 22 or higher. The setup script includes prerequisite checks to verify both Node.js and the qmd CLI are globally installed.
Yes, the qmd setup script supports dynamic discovery of memory roots across different organizational structures and project-specific directories to ensure all memories are properly indexed.
qmd semantic search setup fails without a global qmd installation because the configuration script depends on the qmd CLI to register collections, build indexes, and generate vector embeddings.
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