Skill: jzakirov/internet-search (version 0.3.4)

--- name: internet-search description: "How to use the internet_search tool effectively — category routing, query formulation, and multi-search strategies. Use whenever web search is needed: current events, research papers, community opinions, or any information beyond training knowledge." metadata: { "openclaw": { "emoji": "🔍" } } --- # Internet Search Queries a self-hosted SearXNG instance aggregating multiple search engines. ## Category Routing Always set `category` based on the nature of the query. | Category | When to use | Engines | |------------|---------------------------------------------------------------------|--------------------------------------------------| | `general` | Default. Facts, how-tos, products, people, broad web. | Brave, Bing, DDG, Startpage, Qwant, Wikipedia… | | `news` | Recent events, breaking news, anything time-sensitive. | Bing News, DDG News | | `academic` | Research papers, studies, medical literature, preprints. | arXiv, Google Scholar, PubMed | | `social` | Opinions, community recommendations, "what do people think about X".| Reddit | ## Query Formulation Write queries as a search engine expects — keywords, not full sentences: ``` # Bad "what is the fastest async runtime for rust" # Good "rust async runtime benchmarks 2025" ``` - **news**: include a time anchor — `"OpenAI o3 release 2025"` not just `"OpenAI o3"` - **academic**: use field terminology — `"transformer attention efficiency survey"` - **social**: phrase as community search — `"reddit best mechanical keyboard 2025"` ## SearXNG Search Syntax (in `query`) SearXNG supports lightweight query modifiers you can embed directly into the `query` string: | Syntax | Meaning | Examples | |--------|---------|----------| | `!<engine>` / `!<category>` | Select engine(s) and/or a category. Chainable and inclusive; abbreviations are accepted. | `!wp paris`, `!wikipedia paris`, `!map paris`, `!map !ddg !wp paris` | | `:<lang>` | Language filter | `:fr !wp Wau Holland` | ## Count - `count=5` (default) — sufficient for most tasks - `count=10` — comparing many options, checking consensus - `count=3` — quick fact checks ## Multi-Search Strategy Fire multiple focused searches rather than one broad one: ``` # Bad: one vague search internet_search("best way to deploy Node.js") # Good: three targeted searches internet_search("Node.js Docker deployment best practices 2025") internet_search("Node.js PM2 vs Docker production", category="social") internet_search("Node.js zero-downtime deployment strategies") ``` Combine `general` + `social` for factual + sentiment coverage: ``` internet_search("Bun runtime performance vs Node.js benchmarks") internet_search("Bun runtime production experience", category="social") ``` ## When NOT to Use - Things you already know with high confidence - Stable API docs or well-known syntax — use training knowledge - Repeating a search that already answered the question ## Common Mistakes | Mistake | Fix | |-------------------------------------------|-----------------------------------------------| | `general` for a research paper | Use `category="academic"` | | Searching "what happened today" | Use `category="news"` with a specific topic | | One broad search for a multi-part question| Break into 2–3 focused searches | | Repeating a failed search verbatim | Rephrase with different keywords | | `count=20` for a simple fact | Default `count=5` is almost always enough |


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