Run data validation checks using Recce MCP tools
Set up Recce Cloud CI/CD for GitHub Actions - generates PR review and main branch workflows
Configure or troubleshoot Recce Cloud CI/CD integration for dbt projects - set up GitHub Actions workflows or diagnose pipeline issues
Analyze PR data changes using Recce MCP tools
Guided setup for Recce environment in a dbt project
Use when generating GitHub Actions workflows for dbt, adding dbt build/test/docs steps, or configuring state-based selection with --select state:modified+. Provides templates for both full builds (CD) and incremental builds (CI).
GitHub Actions workflow steps for Python projects using pip. Use this skill when generating CI workflows that need pip-based dependency installation with virtual environment.
GitHub Actions workflow steps for Python projects using uv. Use this skill when generating CI workflows that need uv-based dependency installation with virtual environment.
Automatically provide Recce guidance in dbt projects. Triggers when: working in dbt project directory, discussing PRs or data changes, after dbt command execution, or when user asks about data validation.
Admin access level
Server config contains admin-level keywords
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Official Recce plugins for Claude Code — bringing data validation into your dbt development workflow.
dbt developers modify models, run dbt run, and hope nothing breaks downstream. Recce plugins let Claude Code automatically detect what changed and validate the data impact — so you catch row count drops, schema drift, and query differences before they reach production.
| Plugin | Who it's for | Install |
|---|---|---|
| recce-quickstart | New Recce users getting started | /plugin install recce-quickstart@recce-claude-plugin |
| recce | dbt developers using Recce daily | /plugin install recce@recce-claude-plugin |
Guided onboarding for first-time users:
| Command | What it does |
|---|---|
/recce-setup | Walks you through environment setup — installs dependencies, generates artifacts, starts the MCP server |
/recce-pr [url] | Analyzes data changes in a pull request |
/recce-check [type] [selector] | Runs a specific data validation (row-count, schema, profile, query-diff) |
/recce-ci | Sets up Recce Cloud CI/CD for GitHub Actions |
Automated data review for daily development. Once installed:
dbt run, Claude suggests a data review based on tracked changes/recce-review validates impacted models and produces a risk-assessed summaryStep 1: Install Recce (see Recce installation guide)
Step 2: Add the marketplace
/plugin marketplace add DataRecce/recce-claude-plugin
Step 3: Install a plugin
/plugin install recce-quickstart@recce-claude-plugin
Start a new Claude Code session in your dbt project directory, then type /recce-setup.
| Problem | Solution |
|---|---|
| Plugin not showing up | Check /plugin → Installed tab. If missing, reinstall. |
| Plugin errors after install | Check /plugin → Errors tab. |
| Commands not available | Restart Claude Code — hooks and MCP tools activate on session start. |
For Recce-specific issues (MCP server, dbt connection, environment setup), see the Recce documentation.
MIT
npx claudepluginhub datarecce/recce-claude-plugin --plugin recce-quickstartIntelligent data review workflow for dbt developers — tracks model changes and triggers progressive Recce validation
Database plugin for data-validation-engine
Skills for analytics engineering with dbt — building models, writing tests, querying the semantic layer, troubleshooting jobs, and more.
Keboola project management and review toolkit with 10-agent review team, CLI sync commands, and financial intelligence analysis
Database engineering agents providing expertise in schema design, query optimization, and reliability
Data engineering and ETL tools. Includes 3 specialized agents, 4 commands, and 19 skills.
DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills