Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search files and content using macOS Spotlight indexing (mdfind). Use when the user asks to search local files, documents, or directories on macOS. Supports...
Search files and content using macOS Spotlight indexing (mdfind). Use when the user asks to search local files, documents, or directories on macOS. Supports...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Search local files using macOS Spotlight indexing system.
Use this skill when: User asks to search files or directories on macOS Need to find documents containing specific text Searching large document collections (faster than grep) Need to search inside PDFs, Word docs, or other indexed formats
scripts/spotlight-search.sh <directory> <query> [--limit N] Examples: scripts/spotlight-search.sh ~/Documents "machine learning" scripts/spotlight-search.sh ~/research "neural networks" --limit 10 scripts/spotlight-search.sh ~/Downloads "meeting notes" --limit 5
Fast: Uses system-level Spotlight index (no file scanning) Content-aware: Searches inside PDF, docx, txt, md, etc. Multilingual: Supports Chinese, Japanese, and all languages Metadata: Returns file path, type, and size
🔍 Searching in /path/to/directory for: query ✅ Found N results (showing up to M): 📄 /full/path/to/file.pdf [pdf, 2.3M] 📄 /full/path/to/document.txt [txt, 45K] 📁 /full/path/to/folder/
Spotlight automatically indexes: Text files (txt, md, csv, json, xml, etc.) Documents (pdf, docx, pages, rtf, etc.) Code files (py, js, java, c, etc.) Emails and contacts Images (with embedded metadata/OCR)
macOS only: Requires Spotlight indexing Indexed directories only: External drives may not be indexed Keyword search: Not semantic (use embedding-based search for semantic queries) Privacy: Respects Spotlight privacy settings (excluded directories won't appear)
# Check if a volume is indexed mdutil -s /path/to/volume # Enable indexing (requires admin) sudo mdutil -i on /path/to/volume
Pattern: Search + Extract + Summarize Use spotlight-search.sh to find relevant files Use read tool to extract content from top results Summarize or answer user's question based on extracted content Example workflow: User: "Find all documents about machine learning in my research folder" 1. Run: spotlight-search.sh ~/research "machine learning" --limit 10 2. Read top 3-5 results with read tool 3. Summarize findings for user
Spotlight supports advanced query operators: # Exact phrase spotlight-search.sh ~/Documents "\"machine learning\"" # AND operator spotlight-search.sh ~/Documents "neural AND networks" # OR operator spotlight-search.sh ~/Documents "AI OR artificial intelligence" # Metadata queries spotlight-search.sh ~/Documents "kMDItemContentType == 'com.adobe.pdf'"
No results found: Check if directory is indexed: mdutil -s /path Wait for indexing to complete (new files may take minutes) Verify Spotlight is enabled in System Preferences Incorrect results: Spotlight uses fuzzy matching and synonyms Use exact phrase search: "exact phrase" Check privacy settings (some folders may be excluded)
Instant: Pre-indexed, no file scanning needed Scales well: Handles millions of files Low CPU: No processing overhead (vs grep/ripgrep) Comparison: ToolSpeedContent SearchMultilingualSpotlight⚡ Instant✅ Yes✅ Yesgrep/ripgrep🐢 Slow✅ Yes✅ Yesfind⚡ Fast❌ NoN/A
macOS only: This skill requires macOS Spotlight Linux alternative: Use grep -r or ripgrep Windows alternative: Use Windows Search or Everything search
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