Parse form-view data semantically to generate field and object insights.
npx skills add https://github.com/kweaver-ai/kweaver-dip --skill data-semantic
Please help me install this Agent Skill. Skill: data-semantic Source: https://github.com/kweaver-ai/kweaver-dip/tree/main/skills/data-semantic Command: npx skills add https://github.com/kweaver-ai/kweaver-dip --skill data-semantic
This skill provides semantic understanding for form views to extract and organize field semantics and business-object relationships, enabling automated reasoning over data captured in digital forms.
Trigger semantic understanding for a chosen form view by calling operation=understand with form_view_id and a valid auth_token.
High-intent search queries and answers about installing and using this skill.
Extract field semantics from form views by passing form_view_id and a valid auth_token to operation=understand. This triggers semantic understanding to parse field data and map business-object relationships across data sources.
Semantic understanding for batch processing interprets multiple form views simultaneously to generate field and object insights. It parses business-object relationships across data sources to support downstream automation tasks.
Yes, you can batch match business objects across data sources by calling operation=match with datasource_id, kn_id, and ot_id. This requires a valid auth_token and uses the requests library for API communication.
Yes, a valid auth_token is required to query available form views. Use operation=list or operation=query with the auth_token to discover existing form views and retrieve their associated metadata.
Semantic data interpretation is limited to parsing form views and requires specific inputs like form_view_id, datasource_id, kn_id, or ot_id. It depends on the requests library and cannot process data sources without valid identifiers and authentication.
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