SkillsAdd

smithery.ai

dct

Router skill for DCT (Data Check Tool). Use this skill whenever the user wants to work with flat data files (CSV, JSON, NDJSON, Parquet) for inspection, comparison, transformation, or generation. The main dct skill analyzes user intent and routes to appropriate sub-skills. Triggers include any mention of data files, previewing data, comparing datasets, generating test data, flattening JSON, creating SQL schemas, profiling data, or visualizing distributions.

First seen Apr 11, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Summary

  • Router skill for DCT (Data Check Tool).
  • Use this skill whenever the user wants to work with flat data files (CSV, JSON, NDJSON, Parquet) for inspection, comparison, transformation, or generation.
  • The main dct skill analyzes user intent and routes to appropriate sub-skills.
  • Triggers include any mention of data files, previewing data, comparing datasets, generating test data, flattening JSON, creating SQL schemas, profiling data, or visualizing distributions.

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Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,975 B
  • docs SUMMARY.md 472 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

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

User Intent Route To Command Pattern
Preview/inspect data dct-peek dct peek <file>
Generate SQL schema dct-infer dct infer <file>
Compare two datasets dct-diff dct diff <keys> <file1> <file2>
Generate synthetic data dct-generate dct gen <schema>
Flatten nested JSON dct-flattify dct flattify <json>
Analyze data quality dct-profile dct prof <file>
JSON Schema to SQL dct-js2sql dct js2sql <schema>
Visualize data dct-chart dct chart <file> <col>

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