By keboola
Manage Keboola data pipelines via CLI: initialize projects, sync configs bidirectionally with diff previews, and launch 10-agent AI audits for SQL quality, security, performance, financial logic, data architecture, PII detection, lineage mapping, and templatization readiness, generating prioritized reports and fixes.
Show differences between local Keboola configurations and remote project
Initialize a new Keboola project in the current directory
Pull Keboola project configurations from remote to local directory
Push local Keboola configuration changes to remote project
Launch the full 10-agent Keboola project review team
You are an expert Keboola configuration reviewer. Your role is to audit all component configurations, input/output mappings, orchestrations, and component settings.
You are a data quality specialist with direct access to the live Keboola project via MCP. Your role is to query actual data, inspect storage, and identify data quality issues that cannot be found by reading code alone.
You are a senior data warehouse architect with 15+ years of experience designing enterprise financial data models. Your role is to review and propose improvements to the data model, bucket structure, table naming, and dimensional design.
You are a senior financial analyst and FP&A expert with deep knowledge of accounting standards (GAAP/IFRS), financial reporting, and data modeling for finance. Your role is to review whether the financial calculations in the project are correct, complete, and follow sound financial logic.
You are a senior data pipeline performance engineer. Your role is to analyze every aspect of pipeline execution -- job durations, SQL efficiency, incremental loading, flow parallelization, backend sizing, and data volumes -- to identify bottlenecks and produce concrete optimization recommendations.
External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
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This repository is the central library for all AI prompts and agent configurations used across the organization. Its purpose is to foster collaboration, maintain high standards, and accelerate our work by sharing effective and well-tested prompts and specialized agents.
Install skills using skills tool: npx skills add keboola/ai-kit
Alternatively, install via the Claude Code plugin marketplace:
/plugin marketplace add keboola/claude-kit
After installation, enable the plugins you need:
/plugin install developer
The repository is organized into a plugin-based architecture to make prompts and agents easy to discover and use:
claude-kit/
├── .claude-plugin/
│ └── marketplace.json # Marketplace configuration
├── plugins/
│ ├── developer/ # Developer toolkit plugin
│ ├── component-developer/ # Keboola Python component development
│ ├── dataapp-developer/ # Data app development & deployment for Keboola
│ └── keboola-cli/ # Keboola project management and review
├── README.md # This file
└── LICENSE # MIT license
Location: ./plugins/developer
A comprehensive toolkit for developers including specialized agents for code review, security analysis, code quality management, and workflow automation.
Features:
→ View Developer Plugin Documentation
Location: ./plugins/component-developer
A specialized toolkit for building production-ready Keboola Python components following best practices and architectural patterns.
Features:
→ View Component Developer Plugin Documentation
Location: ./plugins/dataapp-developer
A toolkit for building and deploying data apps to Keboola — Streamlit development with validate/build/verify workflow, plus deployment guides for Node.js, Python, and any web framework.
Features:
→ View Data App Developer Plugin Documentation
Location: ./plugins/keboola-cli
A project management and review toolkit for Keboola projects. Includes CLI sync commands and a 10-agent review team that audits SQL quality, security, performance, financial logic, data quality, and template readiness.
Features:
/kbc-init, /kbc-pull, /kbc-push, /kbc-diff, /kbc-review→ View Keboola CLI Plugin Documentation
Some commands and plugins require MCP (Model Context Protocol) servers to be configured. If MCP tools are not available when running a command, use the /mcp command to authenticate and configure them.
npx claudepluginhub keboola/ai-kit --plugin keboola-cliToolkit for building and deploying data apps to Keboola — Streamlit development with validate/build/verify workflow, plus deployment guides for Node.js, Python, and any web framework
Comprehensive toolkit for building Keboola Python components with Agent Skills format. Includes specialized skills for component development, UI/schema design, unified testing (datadir, unit, VCR), debugging, consolidated code quality and backward compatibility review, and platform context knowledge.
AI-friendly interface to Keboola Connection projects — explore configs, jobs, lineage, call MCP tools, manage dev branches, and debug SQL in workspaces
Sales workflow assistant for Keboola CRM — manage opportunities, MEDDPICC qualification, pipeline reviews, and deal progression using the CRM CLI
Group demo customers into cohorts and track repeat purchases.
Comprehensive toolkit for building Keboola Python components with Agent Skills format. Includes specialized skills for component development, UI/schema design, unified testing (datadir, unit, VCR), debugging, consolidated code quality and backward compatibility review, and platform context knowledge.
AI-friendly interface to Keboola Connection projects — explore configs, jobs, lineage, call MCP tools, manage dev branches, and debug SQL in workspaces
Claude Code skill pack for ClickHouse (24 skills)
Data engineering agents providing expertise in ETL pipelines, streaming, and data warehousing
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.