recce
claudeIntelligent data review workflow for dbt developers
2 skills · 2 agents · 2 MCP servers · hooks
Quick onboarding for Recce - dbt data validation and diff tool
Plugin recce-quickstart from marketplace recce-claude-plugin in DataRecce/recce-claude-plugin. Commands read from the repo's manifest — 22 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
dbt-ciUse 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).
python-pip-ciGitHub Actions workflow steps for Python projects using pip. Use this skill when generating CI workflows that need pip-based dependency installation with virtual environment.
python-uv-ciGitHub Actions workflow steps for Python projects using uv. Use this skill when generating CI workflows that need uv-based dependency installation with virtual environment.
recce-guideAutomatically 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.
/recce-quickstart:recce-analyzeOne-shot Recce setup + PR impact analysis
/recce-quickstart:recce-checkRun data validation checks using Recce MCP tools
/recce-quickstart:recce-ciSet up Recce Cloud CI/CD for GitHub Actions - generates PR review and main branch workflows
/recce-quickstart:recce-dbt-doctorConfigure or troubleshoot Recce Cloud CI/CD integration for dbt projects - set up GitHub Actions workflows or diagnose pipeline issues
/recce-quickstart:recce-prAnalyze PR data changes using Recce MCP tools
/recce-quickstart:recce-setupGuided setup for Recce environment in a dbt project
recceconnects to: http://localhost:8085/sse
recce-docsruns: node ${CLAUDE_PLUGIN_ROOT}/servers/recce-docs-mcp/dist/cli.js
Intelligent data review workflow for dbt developers
2 skills · 2 agents · 2 MCP servers · hooks
Dev-loop data review for dbt - review the working tree against the team's Recce Cloud base
2 skills · 1 agent · 1 MCP server · hooks
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.
37 skills
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search, lineage traversal, glossary management, data quality rules, and more.
1 skill · 1 MCP server
Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.
1 skill
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.
37 skills
Blazingly fast tabular data wrangling with 57 qsv skill-based commands for CSV, TSV, Excel, JSONL, and Parquet files
20 skills · 3 agents · hooks
Analytics engineering skills for warehouse exploration, dbt and semantic modeling, and schema-drift maintenance. Three skills (explore, transform, maintain) drive a local engine: warehouse reads are read-only and cost-gated, and project edits come back as reviewable diffs. Requires a local shell and uv; first use downloads the pinned engine from PyPI. No hooks, no MCP servers.
3 skills
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