Can this skill handle bulk data processing?

Yes, by using the RUBE_REMOTE_WORKBENCH tool, you can execute complex workflows and bulk operations using Dadata's specialized toolsets.

Why does the skill require calling RUBE_SEARCH_TOOLS first?

Calling RUBE_SEARCH_TOOLS ensures that Claude has the most current API schemas and tool slugs, preventing errors caused by hardcoded or outdated parameters.

What is Dadata.ru and how does this skill use it?

Dadata.ru is a service that cleans and enriches Russian contact data. This skill connects Claude Code to Dadata via Rube MCP, allowing the AI to perform data validation tasks automatically.

What kind of data can be validated?

The skill can validate and enrich postal addresses, organization details, bank information, full names, and identity documents like Russian passports.

Do I need to manually configure API keys for Dadata?

No manual key entry in configuration files is required; you manage the connection through the RUBE_MANAGE_CONNECTIONS tool, which handles the authentication handshake.

Dadata Ru Automation

Name: Dadata Ru Automation
Author: hameed0342j

byhameed0342j

0•

营销自动化

Automates data enrichment and validation for Russian addresses, organizations, and contact information via the Dadata.ru API.

This skill integrates Dadata.ru's comprehensive data quality services into Claude Code using the Rube MCP and Composio toolkit. It enables developers to programmatically normalize addresses, verify bank details, lookup organization data via TIN (INN), and validate identity documents directly within their development environment. By leveraging a dynamic discovery pattern, the skill ensures that Claude always uses the most up-to-date API schemas for data cleaning and enrichment tasks specific to the Russian market.

主要功能

01Contact data enrichment including names, emails, and phone numbers

02Business entity lookup using TIN (INN), PSRN (OGRN), or company name

03Real-time tool discovery to ensure compliance with Dadata API updates

040 GitHub stars

05Automated address normalization and parsing for Russian locations

06Validation of bank BIC (BIK) codes and correspondent accounts

使用场景

01Automating KYC and B2B verification by fetching official registration data

02Cleaning and standardizing customer address databases for logistics and CRM systems

03Enriching marketing leads with accurate contact and organizational information

主要功能

01Contact data enrichment including names, emails, and phone numbers

02Business entity lookup using TIN (INN), PSRN (OGRN), or company name

03Real-time tool discovery to ensure compliance with Dadata API updates

040 GitHub stars

05Automated address normalization and parsing for Russian locations

06Validation of bank BIC (BIK) codes and correspondent accounts

使用场景

01Automating KYC and B2B verification by fetching official registration data

02Cleaning and standardizing customer address databases for logistics and CRM systems

03Enriching marketing leads with accurate contact and organizational information