querit-search
Web search via Querit.ai API. Use when you need to search the web for documentation, current events, facts, or any web content. Returns structured results with titles, URLs, and snippets.
Best use case
querit-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Web search via Querit.ai API. Use when you need to search the web for documentation, current events, facts, or any web content. Returns structured results with titles, URLs, and snippets.
Teams using querit-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/querit-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How querit-search Compares
| Feature / Agent | querit-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Web search via Querit.ai API. Use when you need to search the web for documentation, current events, facts, or any web content. Returns structured results with titles, URLs, and snippets.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Querit Search
Web search and content extraction via the Querit.ai API. No browser required.
## Setup
Needs env: `QUERIT_API_KEY` — get a free key at https://querit.ai (1,000 queries/month).
## Search
```bash
node {baseDir}/search.js "query" # 5 results (default)
node {baseDir}/search.js "query" -n 10 # more results (max 100)
node {baseDir}/search.js "query" --lang english # language filter
node {baseDir}/search.js "query" --country "united states" # country filter
node {baseDir}/search.js "query" --date w1 # past week (d1/w1/m1/y1)
node {baseDir}/search.js "query" --site-include github.com # only this domain
node {baseDir}/search.js "query" --site-exclude reddit.com # exclude domain
node {baseDir}/search.js "query" --content # also extract page content
node {baseDir}/search.js "query" --json # raw JSON output
```
Flags can be combined:
```bash
node {baseDir}/search.js "react hooks" -n 3 --lang english --site-include reactjs.org --content
```
## Extract Page Content
```bash
node {baseDir}/content.js https://example.com/article
```
Fetches a URL and extracts the main readable content as markdown.
## Output Format
### Search results (default)
```
1. Page Title
https://example.com/page
Site: example.com
Age: 3 days ago
Description snippet from search results
2. Another Page
...
```
### With --content
After the result listing, each page's extracted markdown content is appended:
```
### 1. Page Title
URL: https://example.com/page
# Extracted heading
Extracted body content in markdown...
---
```
### With --json
Raw JSON array of result objects with fields: `url`, `title`, `snippet`, `page_age`, `page_time`.
## When to Use
- Searching for documentation, API references, or tutorials
- Looking up facts, current events, or recent information
- Finding content from specific websites (use `--site-include`)
- Fetching and reading a web page's content (use `--content` or `content.js`)
- Any task requiring web search without interactive browsing
## Limitations
- Query limited to 72 characters (auto-truncated with warning)
- Max 100 results per query
- Max 20 domains per site filter
- Free tier: 1,000 queries/month, 1 QPS
- Supported languages: english, japanese, korean, german, french, spanish, portugueseRelated Skills
jinko-flight-search
Search flights and discover travel destinations using the Jinko MCP server. Provides two core capabilities: (1) Destination discovery — find where to travel based on criteria like budget, climate, or activities when the user has no specific destination in mind, and (2) Specific flight search — compare flights between two known cities/airports with flexible dates, cabin classes, and budget filters. Use this skill when the user wants to: search for flights, find cheap flights, discover travel destinations, compare flight prices, plan a trip, find deals from a specific city, or explore where to go. Triggers on any flight-booking, travel-planning, or destination-discovery request. Requires the Jinko MCP server connected at https://mcp.gojinko.com.
academic-deep-research
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
web-searcher
Autonomous web research agent that performs multi-step searches, follows links, extracts data, and synthesizes.
internet-search
How to use the internet_search tool effectively — category routing, query formulation, and multi-search strategies.
research-tracker
Manage autonomous AI research agents with SQLite-based state tracking. Use when spawning long-running research sub-agents, tracking multi-step investigations, coordinating agent handoffs, or monitoring background work. Triggers on: research projects, sub-agent coordination, autonomous investigation, progress tracking, agent oversight.
yutori-web-research
Use Yutori’s Research API and Browsing API (cloud browser) to research topics, collect sources, and extract structured facts from the web. Use when the user asks to “research X”, “monitor/find papers”, or “navigate to a site and extract info” and you have access to YUTORI dev/prod endpoints via YUTORI_API_BASE and an API key in env (YUTORI_API_KEY or ~/.openclaw/openclaw.json env.YUTORI_API_KEY).
literature-search
Find and compile academic literature with citation lists across Google Scholar, PubMed, arXiv, IEEE, ACM, Semantic.
research-library
Local-first multimedia research library for hardware projects.
research-assistant
Organized research and knowledge management for agents.
baidu-scholar-search
Baidu Academic Search Tool enables the retrieval of both Chinese and English literature, covering various types of literature such as academic journals, conference papers, and dissertations.
market-research-2
Conduct structured market research for a solopreneur business.
wechat-search
Search WeChat Official Account articles using OpenClaw's web search, Tavily API, and web fetch capabilities.