recce-quickstart
claudeQuick onboarding for Recce - dbt data validation and diff tool
4 skills · 6 commands · 2 MCP servers
Dev-loop data review for dbt - review the working tree against the team's Recce Cloud base
Plugin recce-devloop 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 — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.
recce-dev-reviewReview the dbt changes in the current working tree against the team's base in Recce Cloud. Uploads the local `target/` artifacts to a Cloud dev session, attaches the Recce MCP server to that session, and produces an impact report. Triggers when: user asks to review their local dbt changes through Re
recce-pr-prepPrepare the Recce part of a pull request. Prints this branch's review findings and what the developer decided about each one, as a markdown table to paste into the PR description. Triggers when: user is opening or creating a PR, is about to commit and push for a PR, asks to bring the Recce findings
recce-dev-reviewerData review specialist for the dbt developer's own working tree. Dispatched by the /recce-dev-review skill once the Recce MCP server is attached to a Recce Cloud dev session built from the local `target/` artifacts. Calls impact_analysis for data evidence, reads model SQL to explain the data change,
recceruns: bash ${CLAUDE_PLUGIN_ROOT}/scripts/run-mcp-stdio.sh
${CLAUDE_PLUGIN_ROOT}/hooks/scripts/session-start.sh
${CLAUDE_PLUGIN_ROOT}/hooks/scripts/track-changes.sh
${CLAUDE_PLUGIN_ROOT}/hooks/scripts/pre-commit-guard.sh
Quick onboarding for Recce - dbt data validation and diff tool
4 skills · 6 commands · 2 MCP servers
Intelligent data review workflow for dbt developers
2 skills · 2 agents · 2 MCP servers · 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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