Mako avatar

Mako

Official

@mako-ai

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1Public Repos
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20Published Skills

Offers specialized database engineering, SQL dialect management, and React application scaffolding for high-performance enterprise data synchronization and dashboarding environments.

Skills Distribution
DomainData Systems...Database Engineeri.. (50%)Data Pipeline & Sy.. (30%)Frontend & Compone.. (20%)

Agent Skills by Mako

Showing 20 vetted skills indexed across 1 GitHub repositories.

mako-aimako-ai
11

langfuse

Discover Langfuse API schemas and resource actions via CLI.

Official
Intermediate
mako-aimako-ai
11

create-migration

Create and manage MongoDB migrations for schema or data changes.

Official
Advanced
mako-aimako-ai
11

build-desktop-app

Automate build, test, packaging, and release workflows for Mako Desktop and Local Agent.

Official
Advanced
mako-aimako-ai
11

add-api-route

Scaffolds new API routes with authentication and workspace scoping for Mako Hono backend.

Official
Intermediate
mako-aimako-ai
11

react-render-profiling

Instrument React components and collect render metrics to identify performance bottlenecks.

Official
Advanced
mako-aimako-ai
11

add-connector

Scaffold a connector module with standardized structure, tests, and CDC/webhook support.

Official
Advanced
mako-aimako-ai
11

add-inngest-function

Scaffold and register Inngest functions for event-driven workflows in Mako.

Official
Advanced
mako-aimako-ai
11

add-cdc-adapter

Create a CDC destination adapter scaffold for the Mako sync-cdc pipeline.

Official
Advanced
mako-aimako-ai
11

pr

Stage changes, commit with conventional messages, and open a GitHub PR.

Official
Intermediate
mako-aimako-ai
11

add-database-driver

Scaffold a new database driver for Mako's multi-database query execution system.

Official
Intermediate
mako-aimako-ai
11

mongodb-queries

Flattens MongoDB nested documents and arrays into table-ready rows for analysis.

Official
Advanced
mako-aimako-ai
11

dialect-mysql

Write and debug MySQL SQL with dialect-aware syntax.

Official
Intermediate
mako-aimako-ai
11

dbt

Automate parsing, compiling, and running dbt Core models across dev and prod environments.

Official
Advanced
mako-aimako-ai
11

dialect-bigquery

Write and debug BigQuery SQL with backtick identifiers, SAFE_CAST, and FORMAT_DATE.

Official
Advanced
mako-aimako-ai
11

dashboards

Create, modify, and debug Mako dashboards and widgets in an in-browser DuckDB context.

Official
Advanced
mako-aimako-ai
11

dialect-postgresql

Write PostgreSQL dialect-compliant SQL queries with correct identifiers, casts, JSON operators, arrays, and intervals.

Official
Intermediate
mako-aimako-ai
11

dialect-clickhouse

Assist developers in writing and debugging ClickHouse SQL with dialect-aware guidance.

Official
Intermediate
mako-aimako-ai
11

apps

Manage React apps in the Mako workspace with live preview and editing.

Official
Intermediate
mako-aimako-ai
11

flows

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

Official
Advanced
mako-aimako-ai
11

dialect-sqlite

Generate dialect-aware SQLite and Cloudflare D1 queries from natural language requests.

Official
Intermediate

Frequently Asked Questions About Mako

FAQPage Schema
What specific database tasks can be performed using Mako?

Mako enables the creation of MongoDB migrations, scaffolding of database drivers, and execution of dialect-aware queries for PostgreSQL, MySQL, BigQuery, ClickHouse, and SQLite. It further supports flattening nested document structures into tabular formats for analytical processing within DuckDB-backed dashboard environments.

Which engineering personas benefit most from these capabilities?

Data engineers, backend developers, and full-stack architects focused on multi-source data integration and performance monitoring benefit from these capabilities. The system is designed for teams managing complex sync pipelines, database-to-database migrations, and high-performance React-based analytical interfaces.

What are the primary dependencies for running Mako sync and dashboarding features?

Mako requires a configured workspace environment supporting Hono backend routes, Inngest event registration, and dbt Core integration. Users must ensure their infrastructure supports the specific database drivers and CDC adapters required for their target data sources, such as MongoDB or Cloudflare D1.