skills.rest
mainsequence-sdk
mainsequence-sdkOFFICIAL
Explore all skills by this author →
WebsiteGitHub

mainsequence-data-exploration

Discovers DataNodes and SimpleTables metadata on the Main Sequence platform via CLI.

6|1|Updated Nov 14, 2024
Search Tags:#cli#discovery#metadata#discover#identifiers#data-nodes#simple-tables
One-click install
npx skills add https://github.com/mainsequence-sdk/mainsequence-sdk --skill mainsequence-data-exploration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mainsequence-data-exploration
Source: https://github.com/mainsequence-sdk/mainsequence-sdk/tree/main/docs/astro/data_access/exploration
Command: npx skills add https://github.com/mainsequence-sdk/mainsequence-sdk --skill mainsequence-data-exploration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps identify what published DataNodes and SimpleTables exist on the Main Sequence platform before starting implementation, enabling accurate scoping and evidence-based decisions.

Core Features & Use Cases

  • Discover published DataNodes and SimpleTables through the CLI
  • Inspect identifiers, storage IDs, and metadata for discovered objects
  • Filter by keywords, description, or column names to locate relevant data assets
  • Determine whether a surface is a DataNode or a SimpleTable

Quick Start

Run a discovery pass using the CLI to identify existing DataNodes and SimpleTables and capture their identifiers, storage IDs, and metadata.

Frequently Asked Questions about mainsequence-data-exploration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I discover existing data assets on the Main Sequence platform before coding?▼

You can discover existing data assets by running a CLI discovery pass to enumerate published DataNodes and SimpleTables, capturing their identifiers, storage IDs, and metadata for accurate project scoping.

Can I filter data discovery results by column names or keywords?▼

Yes, data discovery supports filtering by keywords, descriptions, or column names to help you locate relevant DataNodes and SimpleTables across your project or organization scope.

What is the difference between a DataNode and a SimpleTable?▼

During discovery, you can determine whether a surface is a DataNode or a SimpleTable by inspecting the object type, identifiers, storage IDs, and metadata returned for each candidate data asset.

How do I find missing data assets and identifiers before starting implementation?▼

Run a discovery pass to enumerate candidate data assets and their metadata, which reveals what published objects exist and highlights what identifiers or storage IDs are missing before implementation.

Does the discovery CLI support organization-wide data asset searches?▼

Yes, the discovery CLI applies to both project-scoped and organization-wide discovery tasks, enumerating candidate data assets, identifiers, storage IDs, and metadata across the platform.

What metadata is available when discovering published data nodes?▼

Discovering published data nodes provides object type, identifiers, storage IDs, and metadata, giving you the evidence required to proceed with accurate implementation decisions.

Related Skills

Explore More Data & Analytics Skills→
AlexiosBluffMaraAlexiosBluffMara
2

github-auth

Authenticate the Hermes Agent with GitHub via git or the gh CLI.

Community
Intermediate
elophantoelophanto
116

data-engineering

Build end-to-end data pipelines transforming raw data into analytics-ready assets.

Community
Advanced
PaulJPhilpPaulJPhilp
12

Effect Regex

Generate regex patterns from natural language descriptions and test them.

Community
Advanced
Wike-CHIWike-CHI
2

cli-hub-meta-skill

Discover and install agent-native CLI tools from a live catalog.

Community
Intermediate