From readwise-assistant
Searches Readwise highlights and documents by query with optional --tags, --book, --author, --limit, --location, --category flags. Combines results from search_highlights and search_documents tools.
npx claudepluginhub ethanolivertroy/public-skills# Search Readwise Content Search across both your book highlights and Reader documents using the `search_highlights` and `search_documents` MCP tools. ## Usage ## Instructions Parse the arguments from `$ARGUMENTS`: - Query: First argument (search term) - Flags: Parse --tags, --book, --author, --limit, --location, --category 1. Call the `search_highlights` tool with: - query: The search term - tags: Array of tags from --tags flag (comma-separated) - book: Book title from --book flag - author: Author name from --author flag - limit: Number from --limit flag (default: 10)...
/searchSearches wiki content by keyword, tag, or category in local/global wikis, returning ranked results with titles, summaries, tags, and paths.
/searchSearches Obsidian vault notes by title, content, tags, or combinations via <query> [--title|--content|--tag] [--category <cat>] [--limit <n>]. Outputs note titles, paths, frontmatter descriptions, and tags.
/docs-searchSearches cached documentation by regex pattern and pulls surrounding context for top matches. Optionally restricts to one library.
/searchSearches issues by text query across title, description, and ID. Supports filters (--status, --label, --assignee, --type, etc.), sorting, limits, and JSON output.
/searchSearches Redpanda Connect components (inputs, outputs, processors, caches, rate-limits, buffers, metrics, tracers) matching the provided description.
/searchSearches pro-workflow learnings database using BM25 full-text search with prefix, phrase, and multi-term matching, returning top ranked results with mistake details and application counts.
Share bugs, ideas, or general feedback.
Search across both your book highlights and Reader documents using the search_highlights and search_documents MCP tools.
/readwise:search "machine learning" --tags rust,ai --limit 20
Parse the arguments from $ARGUMENTS:
Call the search_highlights tool with:
Call the search_documents tool with:
Combine and present results from both sources in a clear format
/readwise:search "async programming"
/readwise:search "Rust" --tags programming,systems
/readwise:search --book "The Pragmatic Programmer"
/readwise:search --location later --category article