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flows

Configure and validate database-to-database sync flows with pagination and incremental sync.

11|6|Updated Nov 15, 2025
Search Tags:#validation#flows#pagination#query-writing#data-sync#incremental-sync
One-click install
npx skills add https://github.com/mako-ai/mako --skill flows-mako-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: flows
Source: https://github.com/mako-ai/mako/tree/main/api/src/agent-skills/flows
Command: npx skills add https://github.com/mako-ai/mako --skill flows-mako-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing database-to-database synchronization, connector flows, pagination, and incremental sync across diverse destinations requires careful configuration, validation, and debugging to ensure reliable data pipelines.

Core Features & Use Cases

  • Write and validate flow queries with template placeholders for pagination and incremental sync.
  • Configure and test flow settings, such as pagination mode, sync mode, and conflict handling.
  • Inspect source and destination schemas, map data types, and manage destination mappings.

Quick Start

Open a new flow tab, configure a simple incremental sync flow with a sample query, validate it, and inspect the source schema.

Frequently Asked Questions about flows

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

FAQPage Schema
How do I configure incremental sync for a database pipeline?▼

To configure incremental sync for a database pipeline, write a source query with template placeholders, set the pagination and sync modes, and validate the query to ensure reliable data synchronization.

What is the best way to validate database sync flow queries before execution?▼

Validating database sync flow queries involves using defined tools to inspect source schemas, verify template placeholder syntax for pagination, and test destination column type mappings before running the pipeline.

Can I map source column types to different destination databases?▼

Yes, mapping source column types to destination databases is supported. You inspect source schemas and configure destination mappings to ensure data types align correctly across diverse database destinations.

Does database sync support pagination for large query results?▼

Database sync supports pagination for large query results by configuring the pagination mode in flow settings and writing query templates with defined placeholders to handle large datasets efficiently.

Why does my data sync flow fail when mapping columns across different schemas?▼

Data sync flows fail when column types mismatch or queries are unvalidated. Inspect source and destination schemas, map data types correctly using defined tools, and validate query templates to resolve pipeline conflicts.

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