Recce
Official@datarecce · United States of America
CI for data systems like dbt
Agent Skills by Recce
Showing 3 vetted skills indexed across 1 GitHub repositories.
claude-code-review
Review GitHub pull requests and post comments with test and linter evidence.
recce-mcp-e2e
Verify all MCP server tools against a real dbt project.
recce-mcp-dev
Manage Recce MCP server tool handlers and error classification.
Frequently Asked Questions About Recce
FAQPage SchemaWhat specific tasks does Recce enable for data engineers?▼
Recce enables data engineers to validate dbt project changes by reviewing pull requests with integrated linter evidence. It facilitates end-to-end verification of server handlers and provides structured error classification to ensure data system integrity before merging code into production environments.
Which technical personas benefit most from using Recce?▼
Recce is designed for data engineers, analytics engineers, and database administrators who manage dbt projects. It is particularly useful for teams focused on maintaining high data quality standards and rigorous testing protocols within their data transformation pipelines.
What are the primary prerequisites for implementing Recce?▼
Implementation requires an existing dbt project environment and a configured MCP server. Users must have access to their GitHub repository to enable pull request commenting and integration with the Recce validation handlers.