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>

plugins/data-platform/commands/profile.md

@@ -0,0 +1,44 @@
+# /profile - Data Profiling
+
+Generate statistical profile and quality report for a DataFrame.
+
+## Usage
+
+```
+/profile <data_ref>
+```
+
+## Workflow
+
+1. **Get data reference**:
+   - If no data_ref provided, use `list_data` to show available options
+   - Validate the data_ref exists
+
+2. **Generate profile**:
+   - Use `describe` for statistical summary
+   - Analyze null counts, unique values, data types
+
+3. **Quality assessment**:
+   - Identify columns with high null percentage
+   - Flag potential data quality issues
+   - Suggest cleaning operations if needed
+
+4. **Report**:
+   - Summary statistics per column
+   - Data type distribution
+   - Memory usage
+   - Quality score
+
+## Examples
+
+```
+/profile sales_data
+/profile df_a1b2c3d4
+```
+
+## Available Tools
+
+Use these MCP tools:
+- `describe` - Get statistical summary
+- `head` - Preview first rows
+- `list_data` - List available DataFrames