key-abstraction-identification

Identifying key domain abstractions from text involves extracting named domain units and capturing their intents, core terms, shape hints, and verbatim extracts into a structured key-abstractions.md file for downstream modeling.

A key abstractions document captures named domain units with intents, core terms, shape hints, and verifiable extracts. You need one to settle domain vocabulary and structure requirements before downstream architecture modeling.

Yes, you can partition domain text into modules. When a module-partitioning.md is present, the skill generates module-level organization, grouping key abstractions per module with their specific intents and verbatim extracts.

The best way to capture domain intents and shape hints is to run text analysis on your requirements, extracting named units and enforcing that each abstraction carries an Intent, Core terms, a Shape hint, and at least one verbatim Extract.

No specific input file formats are required. The skill operates on modular corpora or flat text scopes, requiring only domain text to analyze and an optional module-partitioning.md for module-aware grouping.

Key abstraction extraction enforces structural constraints and verifiable verbatim extracts, reducing manual effort and ensuring each named domain unit carries consistent Intent, Core terms, Shape hints, and Extract blocks for review.