lmiranda
9698e8724d
Sprint 4 - Plugin Commands implementation adding 18 new user-facing commands across 8 plugins as part of V5.2.0 Plugin Enhancements. **projman:** - #241: /sprint-diagram - Mermaid visualization of sprint issues **pr-review:** - #242: Confidence threshold config (PR_REVIEW_CONFIDENCE_THRESHOLD) - #243: /pr-diff - Formatted diff with inline review comments **data-platform:** - #244: /data-quality - DataFrame quality checks (nulls, duplicates, outliers) - #245: /lineage-viz - dbt lineage as Mermaid diagrams - #246: /dbt-test - Formatted dbt test runner **viz-platform:** - #247: /chart-export - Export charts to PNG/SVG/PDF via kaleido - #248: /accessibility-check - Color blind validation (WCAG contrast) - #249: /breakpoints - Responsive layout configuration **contract-validator:** - #250: /dependency-graph - Plugin dependency visualization **doc-guardian:** - #251: /changelog-gen - Generate changelog from conventional commits - #252: /doc-coverage - Documentation coverage metrics - #253: /stale-docs - Flag outdated documentation **claude-config-maintainer:** - #254: /config-diff - Track CLAUDE.md changes over time - #255: /config-lint - 31 lint rules for CLAUDE.md best practices **cmdb-assistant:** - #256: /cmdb-topology - Infrastructure topology diagrams - #257: /change-audit - NetBox audit trail queries - #258: /ip-conflicts - Detect IP conflicts and overlaps Closes #241, #242, #243, #244, #245, #246, #247, #248, #249, #250, #251, #252, #253, #254, #255, #256, #257, #258 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
data-platform Plugin
Data engineering tools with pandas, PostgreSQL/PostGIS, and dbt integration for Claude Code.
Features
- pandas Operations: Load, transform, and export DataFrames with persistent data_ref system
- PostgreSQL/PostGIS: Database queries with connection pooling and spatial data support
- dbt Integration: Build tool wrapper with pre-execution validation
Installation
This plugin is part of the leo-claude-mktplace. Install via:
# From marketplace
claude plugins install leo-claude-mktplace/data-platform
# Setup MCP server venv
cd ~/.claude/plugins/marketplaces/leo-claude-mktplace/mcp-servers/data-platform
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Configuration
PostgreSQL (Optional)
Create ~/.config/claude/postgres.env:
POSTGRES_URL=postgresql://user:password@host:5432/database
dbt (Optional)
Add to project .env:
DBT_PROJECT_DIR=/path/to/dbt/project
DBT_PROFILES_DIR=~/.dbt
Commands
| Command | Description |
|---|---|
/initial-setup |
Interactive setup wizard for PostgreSQL and dbt configuration |
/ingest |
Load data from files or database |
/profile |
Generate data profile and statistics |
/data-quality |
Data quality assessment with pass/warn/fail scoring |
/schema |
Show database/DataFrame schema |
/explain |
Explain dbt model lineage |
/lineage |
Visualize data dependencies (ASCII) |
/lineage-viz |
Generate Mermaid flowchart for dbt lineage |
/run |
Execute dbt models |
/dbt-test |
Run dbt tests with formatted results |
Agents
| Agent | Description |
|---|---|
data-ingestion |
Data loading and transformation specialist |
data-analysis |
Exploration and profiling specialist |
data_ref System
All DataFrame operations use a data_ref system for persistence:
# Load returns a reference
read_csv("data.csv") → {"data_ref": "sales_data"}
# Use reference in subsequent operations
filter("sales_data", "amount > 100") → {"data_ref": "sales_data_filtered"}
describe("sales_data_filtered") → {statistics}
Example Workflow
/ingest data/sales.csv
# → Loaded 50,000 rows as "sales_data"
/profile sales_data
# → Statistical summary, null counts, quality assessment
/schema orders
# → Column names, types, constraints
/lineage fct_orders
# → Dependency graph showing upstream/downstream models
/run dim_customers
# → Pre-validates then executes dbt model
Tools Summary
pandas (14 tools)
read_csv, read_parquet, read_json, to_csv, to_parquet, describe, head, tail, filter, select, groupby, join, list_data, drop_data
PostgreSQL (6 tools)
pg_connect, pg_query, pg_execute, pg_tables, pg_columns, pg_schemas
PostGIS (4 tools)
st_tables, st_geometry_type, st_srid, st_extent
dbt (8 tools)
dbt_parse, dbt_run, dbt_test, dbt_build, dbt_compile, dbt_ls, dbt_docs_generate, dbt_lineage
Memory Management
- Default limit: 100,000 rows per DataFrame
- Configure via
DATA_PLATFORM_MAX_ROWSenvironment variable - Use
chunk_sizeparameter for large files - Monitor with
list_datatool
SessionStart Hook
On session start, the plugin checks PostgreSQL connectivity and displays a warning if unavailable. This is non-blocking - pandas and dbt tools remain available.