Search indexed collections with semantic and full-text queries.
npx skills add https://github.com/cwensel/arcaneum --skill arc-search
Please help me install this Agent Skill. Skill: arc-search Source: https://github.com/cwensel/arcaneum/tree/main/.claude-plugin/skills/arc-search Command: npx skills add https://github.com/cwensel/arcaneum --skill arc-search
This Skill enables fast discovery by combining semantic understanding with exact text search across all indexed collections, so you can locate relevant content in code, Markdown, PDFs, or knowledge bases with a single query.
arc collection list arc search semantic "authentication" --collection MyCode --limit 10 arc search text "parse" --collection Docs --limit 5
High-intent search queries and answers about installing and using this skill.
Semantic search understands concepts and retrieves contextually related results across indexed collections. Use `arc search semantic "your-query"` to find content by meaning rather than exact word matches, useful for locating related functions, design notes, or policy paragraphs across code, Markdown, and PDFs.
Full-text search finds exact phrases and terms within indexed content. Run `arc search text "your-phrase"` to locate specific code snippets, documentation sections, or references across your knowledge base without semantic approximation.
Arc-search indexes and searches across code, Markdown, PDFs, and other documents stored in collections. You can query any content type added to your indexed collections using semantic or text search commands.
Use `arc collection list` to view all indexed collections, then target specific ones with the `--collection` flag in search commands. Results can be filtered by metadata using `--filter` and returned as JSON with `--json` for structured output.
Yes, use the `--limit` parameter to cap result count and `--json` flag to return results in machine-readable format. Both semantic and text search support these options for controlling result scope and enabling downstream processing.
Semantic search retrieves conceptually related content using similarity, while text search finds exact term matches. Use semantic search for exploratory discovery across diverse content types and text search when you know specific phrases or code syntax to locate.
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