anysite-cli

Translate natural language requests into anysite CLI commands for data pipelines.

19|4|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/anysiteio/agent-skills --skill anysite-cli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anysite-cli
Source: https://github.com/anysiteio/agent-skills/tree/main/skills/anysite-cli
Command: npx skills add https://github.com/anysiteio/agent-skills --skill anysite-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables Claude to orchestrate the AnySite CLI, turning natural language requests into concrete CLI commands for data collection, dataset pipelines, and database operations. It reduces manual scripting by providing a structured, reproducible way to plan, run, and monitor complex web-scraping and data-processing tasks.

Core Features & Use Cases

  • CLI orchestration: translate natural language into anysite CLI commands to run endpoints, pipelines, and DB actions.
  • Dataset pipelines: create and manage multi-source datasets with transforms, exports, and scheduling.
  • DB integration: load, query, and maintain data in PostgreSQL or SQLite with incremental syncing.
  • Use Case: A data analyst asks Claude to set up a weekly LinkedIn company profile scrape and load results into Postgres for reporting.

Quick Start

Use normal language prompts to initiate steps, for example: anysite describe --search "linkedin" anysite dataset init my-dataset anysite dataset collect my-dataset --load-db pg anysite db query pg --sql "SELECT COUNT(*) FROM users" --format table

Frequently Asked Questions about anysite-cli

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

FAQPage Schema
How do I translate natural language into command-line data collection workflows?

To translate natural language into command-line data collection workflows, this Skill orchestrates the anysite CLI by mapping plain text requests into concrete commands for endpoint discovery, dataset initialization, and batch API calls.

How do I load scraped dataset pipelines into PostgreSQL or SQLite?

To load scraped dataset pipelines into PostgreSQL or SQLite, you can use the CLI to collect datasets and apply the load-db flag, which handles database integration and incremental syncing for your web-scraping tasks.

Do I need an API key to run anysite CLI dataset pipelines?

Yes, you need a valid API key to run anysite CLI dataset pipelines. The environment requires installation via pip, schema updates, and proper configuration before executing endpoint discovery or batch API calls.

Can I apply transforms and LLM steps to batch API calls before exporting data?

Yes, you can apply transforms and LLM steps to batch API calls before exporting data. The CLI supports per-source configuration, allowing you to process multi-source datasets with custom transformations and export options.

What is the best way to schedule a weekly web-scraping pipeline and query the results?

The best way to schedule a weekly web-scraping pipeline and query results is to use the anysite CLI to manage multi-source datasets, load data into a database, and execute SQL queries directly via the command line.