skd-info

Analyze 1C Data Composition Schema XML templates and summarize internal structure.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Alex1980Alex/1C-Framework --skill skd-info-alex1980alex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skd-info
Source: https://github.com/Alex1980Alex/1C-Framework/tree/main/external/cc-1c-skills/.claude/skills/skd-info
Command: npx skills add https://github.com/Alex1980Alex/1C-Framework --skill skd-info-alex1980alex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lxml, and includes scripts (resource) components.

What problem does it solve?

This Skill removes the need to inspect large 1C Data Composition Schema XML files by hand, making it easy to understand report structure, query sources, fields, parameters, variants, and templates quickly.

Core Features & Use Cases

  • Schema Overview: Summarizes datasets, links, calculated fields, resources, parameters, and variants in a compact view.
  • Query Analysis: Extracts full query text, supports batch breakdown, and helps round-trip edits for multi-part queries.
  • Field and Trace Inspection: Shows field metadata, presentation details, roles, restrictions, and end-to-end trace paths from output column back to source logic.
  • Use Case: A 1C developer can point the Skill at a Template.xml file and instantly see how a report is built, which fields are available, and how the output is calculated.

Quick Start

Ask the skill to analyze a 1C Template.xml path and return a compact summary of datasets, fields, links, parameters, variants, and query structure.

Frequently Asked Questions about skd-info

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

FAQPage Schema
How do I inspect a 1C Data Composition Schema XML template?

Inspecting a 1C Data Composition Schema XML template requires parsing the Template.xml file to extract and summarize datasets, fields, query sources, parameters, and variants into a compact structural overview.

What is the best way to analyze DCS query text and field mappings in 1C?

Analyzing DCS query text and field mappings involves extracting full query text from the schema, resolving nested datasets, and tracing end-to-end paths from output columns back to their source logic.

Can I extract report parameters and variants from a 1C Template.xml file?

Yes, you can extract report parameters and variants from a 1C Template.xml file by parsing the metadata structure to review calculated fields, filter details, resources, and template bindings.

How does DCS template binding analysis work for 1C report structure inspection?

DCS template binding analysis works by parsing the Data Composition Schema XML to resolve nested datasets and summarize how report outputs, fields, and calculated resources are linked together.

What do I need to parse 1C DCS schemas and trace query sources?

Parsing 1C DCS schemas and tracing query sources requires a Python environment with the lxml dependency installed to process the Template.xml metadata files and extract the query structure.

Are there limitations when inspecting large 1C DCS XML files?

Inspecting large 1C DCS XML files is limited by the need to parse complex nested datasets and resolve metadata dependencies, which requires valid Template.xml inputs and proper lxml environment setup.