Search local Markdown files in a synced Vault repository.
npx skills add https://github.com/graphlit/vault-sync --skill vault-sync-use
Please help me install this Agent Skill. Skill: vault-sync-use Source: https://github.com/graphlit/vault-sync/tree/main Command: npx skills add https://github.com/graphlit/vault-sync --skill vault-sync-use
It solves the problem of getting an AI agent to use your already-generated Vault data as reliable local context without needing app access, live API calls, or indexing services.
Refresh your Vault locally by running a pull, then read the Vault’s README.md and use normal filesystem search to answer your question from the Markdown files in that folder.
High-intent search queries and answers about installing and using this skill.
To use local Vault markdown files as context, sync your repository to disk and read the README.md first, then search the filesystem directly to answer questions without needing app APIs.
Yes, you can search a synced Vault repository on disk without app APIs by using filesystem-first tools like ripgrep and file reads to query the markdown files directly.
The best way to extract passages from local markdown files is to pull the latest Vault repository, read the README.md for orientation, and search the filesystem to find relevant text.
No, you do not need an indexing service to read local research from a Vault repository; the workflow treats the synced markdown files as stable context and reads them directly from disk.
No, you cannot use Vault Sync to index and search your repository; it is explicitly prohibited from acting as a search, query, or index layer and serves only to enable filesystem-first reading.
You should read the README.md first because the filesystem-first research workflow requires it for orientation before searching and opening the remaining markdown files in the Vault directory.
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