Files
leo-claude-mktplace/plugins/data-platform/commands/ingest.md
lmiranda b5d36865ee feat(plugins): add Visual Output headers to all other plugin commands
Add single-line visual headers to 66 command files across 10 plugins:
- clarity-assist (2 commands): 💬
- claude-config-maintainer (5 commands): ⚙️
- cmdb-assistant (11 commands): 🖥️
- code-sentinel (3 commands): 🔒
- contract-validator (5 commands): 
- data-platform (10 commands): 📊
- doc-guardian (5 commands): 📝
- git-flow (8 commands): 🔀
- pr-review (7 commands): 🔍
- viz-platform (10 commands): 🎨

Each command now displays a consistent header at execution start:
┌────────────────────────────────────────────────────────────────┐
│  [icon] PLUGIN-NAME · Command Description                       │
└────────────────────────────────────────────────────────────────┘

Addresses #275 (other plugin commands visual output)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-28 17:24:49 -05:00

57 lines
1.6 KiB
Markdown

# /ingest - Data Ingestion
## Visual Output
When executing this command, display the plugin header:
```
┌──────────────────────────────────────────────────────────────────┐
│ 📊 DATA-PLATFORM · Ingest │
└──────────────────────────────────────────────────────────────────┘
```
Then proceed with the ingestion.
Load data from files or database into the data platform.
## Usage
```
/ingest [source]
```
## Workflow
1. **Identify data source**:
- If source is a file path, determine format (CSV, Parquet, JSON)
- If source is "db" or a table name, query PostgreSQL
2. **Load data**:
- For files: Use `read_csv`, `read_parquet`, or `read_json`
- For database: Use `pg_query` with appropriate SELECT
3. **Validate**:
- Check row count against limits
- If exceeds 100k rows, suggest chunking or filtering
4. **Report**:
- Show data_ref, row count, columns, and memory usage
- Preview first few rows
## Examples
```
/ingest data/sales.csv
/ingest data/customers.parquet
/ingest "SELECT * FROM orders WHERE created_at > '2024-01-01'"
```
## Available Tools
Use these MCP tools:
- `read_csv` - Load CSV files
- `read_parquet` - Load Parquet files
- `read_json` - Load JSON/JSONL files
- `pg_query` - Query PostgreSQL database
- `list_data` - List loaded DataFrames