DCT (Data Check Tool) - Skill Router

DCT is a Swiss army knife CLI tool for working with flat data files. This skill routes to appropriate sub-skills based on user intent.

Quick Command Reference

Routing Logic

Analyze the user's request and route to the appropriate sub-skill:

Route to dct-peek when:

• User wants to preview data files
• Keywords: "peek", "preview", "show me", "look at", "first rows", "sample"
• Example: "Show me the first 10 rows of data.csv"

Route to dct-infer when:

• User wants to generate SQL schemas
• Keywords: "infer", "schema", "create table", "sql from data", "ddl"
• Example: "Generate a CREATE TABLE statement from this CSV"

Route to dct-diff when:

• User wants to compare two files
• Keywords: "diff", "compare", "differences", "match", "reconcile", "validate"
• Example: "Compare these two CSV files by the ID column"

Route to dct-generate when:

• User wants to create synthetic test data
• Keywords: "generate", "synthetic", "mock", "fake data", "test data"
• Example: "Generate 1000 fake user records"

Route to dct-flattify when:

• User wants to flatten nested JSON
• Keywords: "flatten", "unnest", "nested json", "make flat"
• Example: "Flatten this nested JSON from the API response"

Route to dct-profile when:

• User wants to analyze data quality
• Keywords: "profile", "analyze", "data quality", "statistics", "distribution"
• Example: "Profile this data file for quality issues"

Route to dct-js2sql when:

• User wants to convert JSON Schema to SQL
• Keywords: "json schema", "convert schema", "schema to sql"
• Example: "Convert this JSON Schema to a CREATE TABLE statement"

Route to dct-chart when:

• User wants to visualize data
• Keywords: "chart", "visualize", "histogram", "plot", "graph"
• Example: "Create a chart of the sales column"

Common Patterns

Data Validation Workflow

1. dct-peek: Preview to understand structure
2. dct-profile: Check data quality
3. dct-infer: Generate schema for downstream use

Data Comparison Workflow

1. dct-peek: Preview both files
2. dct-diff: Compare with appropriate keys

Test Data Generation Workflow

1. dct-generate: Create synthetic data
2. dct-peek: Verify generated data
3. dct-diff: Compare with production sample

Installation

All sub-skills require DCT to be installed:

which dct || go build -o dct && chmod +x ./dct

Supported File Formats

All DCT sub-skills support:

• CSV (.csv)
• JSON (.json)
• NDJSON (.ndjson) - newline-delimited JSON
• Parquet (.parquet)

Error Handling

If a sub-skill encounters errors:

• Verify the file exists and is readable
• Check file extension matches content format
• Ensure DCT binary is built and executable