anysearch

Perform real-time web and vertical searches with full-page Markdown extraction.

1|Updated May 17, 2026

Search Tags:#search #content extraction #batch processing #json-rpc #web retrieval #vertical search #knowledge research

Ready to run

npx skills add https://github.com/mykcs/myk-skills --skill anysearch-mykcs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: anysearch
Source: https://github.com/mykcs/myk-skills/tree/main/anysearch
Command: npx skills add https://github.com/mykcs/myk-skills --skill anysearch-mykcs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

AnySearch helps you quickly retrieve up-to-date information from the web and turn relevant pages into usable content, without manually juggling multiple search tools and copy-paste steps.

Core Features & Use Cases

Real-time web and vertical search: Perform general searches or structured searches across multiple domains (e.g., code, finance, academic, security, legal) using domain-specific query formats.
Batch searching for multiple intents: Run several independent queries in one call to reduce latency and triage time.
Full-page extraction: Fetch and convert full HTML page content into Markdown when snippets are insufficient for verification or deeper reading.
Use Case: When researching a topic with structured identifiers (like a DOI, CVE, or ticker symbol), you can first discover the correct query format via domain listing and then run a compliant vertical search to gather authoritative sources.

Quick Start

Ask an AI agent to run an AnySearch extraction for the URL https://example.com/article and return the page content as Markdown.

Frequently Asked Questions about anysearch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract web page content into Markdown for AI research?▼

To extract web page content into Markdown for AI research, use the full-page URL extraction feature. It fetches HTML and converts it to Markdown, providing clean text for verification when search snippets are insufficient.

What is vertical domain search and when do I need structured query formats?▼

Vertical domain search is a structured search across specific domains like finance, academic, or legal using domain-specific query formats. You need it when researching topics with structured identifiers like DOI, CVE, or ticker symbols to gather authoritative sources efficiently.

Can I run multiple independent search queries in one batch to reduce latency?▼

Yes, you can run multiple independent search queries in one batch call. This batch searching feature allows you to execute several queries simultaneously, reducing latency and triage time when handling multiple search intents at once.

Does this search tool require API authentication or environment setup?▼

The search tool requires a JSON-RPC tools/call endpoint and optionally supports Bearer authentication via ANYSEARCH_API_KEY or a .env file. It also requires a local doc-first interface spec step to ensure correct tool parameters and routing for queries.

What's the best way to discover correct query formats for structured searches?▼

The best way to discover correct query formats for structured searches is to first use domain listing to identify the compliant format. Once discovered, you can run a vertical search with the correct structured identifiers to gather authoritative sources accurately.

Are there limitations when using web retrieval for real-time AI agent answers?▼

Limitations when using web retrieval for real-time AI agent answers include dependency on the JSON-RPC endpoint availability and the need for a local doc-first interface spec step. Additionally, full-page extraction depends on the target URL's HTML structure being accessible and convertible to Markdown.