Manage persistent markdown wiki pages with keyword and tag search.
npx skills add https://github.com/hotaq/Sprite_harmess --skill wiki-hotaq
Please help me install this Agent Skill. Skill: wiki Source: https://github.com/hotaq/Sprite_harmess/tree/main/.codex/skills/wiki Command: npx skills add https://github.com/hotaq/Sprite_harmess --skill wiki-hotaq
This Skill solves the problem of losing important project knowledge across chats, sessions, and scattered markdown files by giving you a durable local wiki you can query and maintain.
Ask the wiki skill to add a new local wiki page with your title, content, tags, and category, then have it save and index the entry under .omx/wiki.
High-intent search queries and answers about installing and using this skill.
To store project knowledge locally, you can create markdown pages with titles, tags, and categories, saving them to a local wiki for fast retrieval. Pages are indexed for keyword searches without relying on external services.
The best way to capture session logs and architecture decisions is using an append-only local knowledge base that records lifecycle changes. This ensures durable markdown capture and maintains an audit log across developer sessions.
Yes, you can search your local wiki by tags and keywords without using embeddings. The retrieval system relies on local indexing and cross-references rather than vector embeddings to find relevant markdown pages.
The local knowledge base works by storing content under a specific local storage directory. You add new pages through the provided workflow, which saves and indexes entries into the designated local wiki structure.
To manage the lifecycle of markdown pages in a local wiki, you can use built-in commands to lint, refresh, and delete entries. These actions keep the index and audit log synchronized without requiring external dependencies.
OrinksMaintain a local markdown wiki with keyword search and cross-references.
Uzay-GCrawl websites and ingest content into a Whorl knowledge base as Markdown.
Goblin1024Store and retrieve project knowledge in a Markdown wiki under .omk/wiki with cross-reference links and searchable pages.
BEKO2210Search knowledge bases semantically with vector embeddings and keyword fallback.
