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Found 11 Skills
Search for places, businesses, and locations using Google Maps APIs via x402. USE FOR: - Finding businesses by name or type - Searching nearby places - Getting detailed place information (address, hours, reviews) - Finding restaurants, stores, services in an area - Getting business ratings and reviews TRIGGERS: - "find", "search for", "locate", "nearby" - "restaurants near", "hotels in", "stores around" - "business details", "opening hours", "reviews for" - "places in", "what's near", "directions to" Use `npx agentcash fetch` for Google Maps endpoints. Choose partial ($0.02) vs full ($0.05-0.08) based on data needs.
Use when finding files by name/path or searching inside file contents on the local Windows machine. Faster than `search_files` / `ls -R` / `find` / ripgrep when the search would touch many directories, because it uses live indexes (Voidtools Everything for filenames, AnyTxt for full-text incl. PDF/docx/pptx). One CLI (`local-search`) with self-explanatory subcommands - `files` (filename/path/ext, sub-second across millions of files), `text` (full-text incl. PDF/docx/pptx/code, keyword highlighting), `recent` (recently modified files, human-friendly time windows like `1h`/`today`/`30min`), `extract` (turn PDF/docx/pptx into plain text using AnyTxt's index — instant, no marker-pdf/OCR needed), `sync` (force AnyTxt to reindex a folder after writing new files so agent can search them immediately), `doctor` (health-check both backends with actionable fix hints). Default output is a markdown table; `--format json`/`csv` for machine consumption. Windows only.
Use when the user asks to "find X in codebase", "where is Y defined?", "explore this dir", "list files in src/", "trace definitions", "find usages" — local-only. Local codebase exploration via Octocode Local + LSP. No GitHub; for external repos use octocode-research.
Search personal markdown knowledge bases, notes, meeting transcripts, and documentation using QMD - a local hybrid search engine. Combines BM25 keyword search, vector semantic search, and LLM re-ranking. Use when users ask to search notes, find documents, look up information in their knowledge base, retrieve meeting notes, or search documentation. Triggers on "search markdown files", "search my notes", "find in docs", "look up", "what did I write about", "meeting notes about".
This skill should be used to search the local Obsidian vault / markdown knowledge base by meaning, not just keywords, using the on-device qmd engine (BM25 + vector + LLM rerank). Trigger when the user asks to "search my vault/notes", "find notes about X", "what do my notes say about Y", "do I have anything on Z", "semantic search my knowledge base", or wants concept/cross-lingual retrieval over markdown. Fully local — nothing leaves the machine.
What a knowledgeable local with great taste would tell you to walk to from here — fused across editorial, local-language, and crowd layers no single tool ranks together. Trigger phrases: `what should I walk to from here`, `near me with great taste`, `find the 3 places not the 40`, `kissaten near my hotel`, `viewpoint within walking distance`, `blue hour photo spot`, `use wanderlust-goat`, `run wanderlust-goat`.
When the user wants to optimize their Apple Maps listing, set up Apple Business Connect, or improve visibility in Apple's ecosystem. Also use when the user mentions "Apple Maps," "Apple Business Connect," "Siri local," "Apple listings," "Apple Intelligence local," or "Maps on iPhone." For Google Business Profile, see gbp-optimization.
Enhanced web and package repository search using local SearXNG instance
Smart ClawdBot documentation access with local search index, cached snippets, and on-demand fetch. Token-efficient and freshness-aware.
Search markdown knowledge bases, notes, and documentation using QMD. Use when users ask to search notes, find documents, or look up information.
Build a local SEO strategy covering Google Business Profile, local citations, reviews, and NAP consistency. Use when the user asks about local SEO, Google Business Profile, Google Maps ranking, local pack, NAP consistency, local citations, review strategy, or ranking for "[service] near me" searches.