my-wiki
Manage local Markdown-first My Wiki knowledge vaults with an AI agent. Use for capturing webpages, PDFs, Office documents, notes, images, folders, and ZIP bundles; maintaining raw-to-wiki evidence links; searching or answering from a vault; checking or repairing vault health; switching among local vaults; and opening the My Wiki knowledge graph or dashboard.
npx skills add NimaChu/my-wiki --skill my-wiki-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# My Wiki This Skill is a thin Agent adapter, not the My Wiki application. Use its bundled `scripts/my-wiki.mjs` bridge, which locates and invokes a separately installed My Wiki project. Never expect application code, Dashboard assets, or a knowledge vault to live inside the installed Skill. Before the first operation, run the bridge with `where`. If it reports that the My Wiki project is missing,
What does the my-wiki skill do?
Manage local Markdown-first My Wiki knowledge vaults with an AI agent. Use for capturing webpages, PDFs, Office documents, notes, images, folders, and ZIP bundles; maintaining raw-to-wiki evidence links; searching or answering from a vault; checking or repairing vault health; switching among local vaults; and opening the My Wiki knowledge graph or dashboard.
How do I install it?
Run `npx skills add NimaChu/my-wiki --skill my-wiki-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NimaChu/my-wiki, a repository with 154 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.