Manage a personal knowledge base with QMD command-line tools.
npx skills add https://github.com/hschne/pi-stuff --skill wiki-hschne
Please help me install this Agent Skill. Skill: wiki Source: https://github.com/hschne/pi-stuff/tree/main/skills/wiki Command: npx skills add https://github.com/hschne/pi-stuff --skill wiki-hschne
It solves the problem of scattered, hard-to-locate personal knowledge by providing a centralized, indexed wiki for all project specs, decisions, session logs, and research, so you never duplicate work or lose important context.
Use the wiki skill to search for all past decisions and context related to the current Mapit project feature.
High-intent search queries and answers about installing and using this skill.
To build a personal wiki for knowledge management, you need a centralized storage system that saves project specs, decisions, and session logs with standardized naming conventions. This ensures consistent, discoverable retrieval of historical context and prior research.
The best way to search historical context is using keyword, semantic, and hybrid search modes provided by QMD command-line tools. This allows you to quickly find past decisions, existing research, and related specs across your entire personal wiki.
To save runbooks and session logs discoverably, store them in the correct wiki collection using standardized file naming conventions and automatic index refresh workflows. This enforces consistent layout and enables fast knowledge retrieval.
Yes, you can use QMD command-line tools for personal knowledge retrieval and document storage. QMD supports keyword, semantic, and hybrid search modes to quickly find past context and prior work across your stored project documents.
Your personal knowledge base returns scattered context because it lacks a centralized, indexed wiki with standardized collection layouts and file naming conventions. Without automatic index refresh workflows, historical context and prior decisions become hard to locate.
You need a centralized knowledge base for project specs and research materials when you want to avoid duplicating work or losing important context. It provides indexed storage for session logs and decisions, enabling fast search of prior work before starting new features.
zjykzkIngest raw text data into an Obsidian wiki as searchable knowledge.
minhcopilotRestore prior session context from local repository data and generate summaries.
MrGKanevIndex Markdown notes locally and search via keyword, semantic, or hybrid modes.
AlterLab-IEUManage and analyze research materials with a self-hosted AI notebook.
