feat: add data-platform plugin (v4.0.0)
Add new data-platform plugin for data engineering workflows with: MCP Server (32 tools): - pandas operations (14 tools): read_csv, read_parquet, read_json, to_csv, to_parquet, describe, head, tail, filter, select, groupby, join, list_data, drop_data - PostgreSQL/PostGIS (10 tools): pg_connect, pg_query, pg_execute, pg_tables, pg_columns, pg_schemas, st_tables, st_geometry_type, st_srid, st_extent - dbt integration (8 tools): dbt_parse, dbt_run, dbt_test, dbt_build, dbt_compile, dbt_ls, dbt_docs_generate, dbt_lineage Plugin Features: - Arrow IPC data_ref system for DataFrame persistence across tool calls - Pre-execution validation for dbt with `dbt parse` - SessionStart hook for PostgreSQL connectivity check (non-blocking) - Hybrid configuration (system ~/.config/claude/postgres.env + project .env) - Memory management with 100k row limit and chunking support Commands: /initial-setup, /ingest, /profile, /schema, /explain, /lineage, /run Agents: data-ingestion, data-analysis Test suite: 71 tests covering config, data store, pandas, postgres, dbt tools Addresses data workflow issues from personal-portfolio project: - Lost data after multiple interactions (solved by Arrow IPC data_ref) - dbt 1.9+ syntax deprecation (solved by pre-execution validation) - Ungraceful PostgreSQL error handling (solved by SessionStart hook) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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plugins/data-platform/commands/explain.md
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plugins/data-platform/commands/explain.md
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# /explain - dbt Model Explanation
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Explain a dbt model's purpose, dependencies, and SQL logic.
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## Usage
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```
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/explain <model_name>
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```
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## Workflow
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1. **Get model info**:
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- Use `dbt_lineage` to get model metadata
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- Extract description, tags, materialization
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2. **Analyze dependencies**:
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- Show upstream models (what this depends on)
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- Show downstream models (what depends on this)
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- Visualize as dependency tree
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3. **Compile SQL**:
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- Use `dbt_compile` to get rendered SQL
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- Explain key transformations
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4. **Report**:
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- Model purpose (from description)
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- Materialization strategy
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- Dependency graph
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- Key SQL logic explained
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## Examples
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```
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/explain dim_customers
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/explain fct_orders
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```
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## Available Tools
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Use these MCP tools:
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- `dbt_lineage` - Get model dependencies
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- `dbt_compile` - Get compiled SQL
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- `dbt_ls` - List related resources
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