bkn-map

Map object properties to view fields and compute coverage for release gating.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/kweaver-ai/kweaver-dip --skill bkn-map
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bkn-map
Source: https://github.com/kweaver-ai/kweaver-dip/tree/main/skills/bkn-creator/internal/bkn-map
Command: npx skills add https://github.com/kweaver-ai/kweaver-dip --skill bkn-map

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates mapping of object properties to view fields, computes coverage, and determines gating decisions to ensure data consistency in bindings.

Core Features & Use Cases

  • Attribute-to-field mapping: determine mapping status (mapped, waived, blocked) for each property.
  • Coverage calculation: compute overall data coverage and decide readiness for pipeline release.
  • Relationship mapping (data_view): validate sources and targets for confirmed relations and assign quality.

Quick Start

Provide bound objects and view schemas to generate a mapping draft with coverage metrics.

Frequently Asked Questions about bkn-map

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

FAQPage Schema
How do I automate attribute-to-field mapping for object properties?

Attribute-to-field mapping is automated by ingesting bound objects and view schemas to generate a structured mapping draft. The process evaluates each property and designates it as mapped, waived, or blocked based on deterministic rules.

What is data coverage calculation and how does it gate pipeline releases?

Data coverage calculation computes overall coverage metrics from property mappings to determine release readiness. Gating decisions apply explicit coverage calculations and structured outputs, including waived and blocked reasons, to enforce data consistency.

How do I validate relationship mapping for confirmed data relations?

Relationship mapping validates sources and targets for confirmed relations and assigns mapping quality. This ensures data bindings between related entities satisfy deterministic mapping rules before being approved for pipeline release.

Can I compute coverage metrics using bound objects and view schemas?

Yes, you compute coverage metrics by supplying bound objects and view schemas. This generates a mapping draft that applies deterministic mapping rules to calculate overall data coverage and determine release gating decisions.

Why does property-level mapping return blocked or waived statuses?

Property-level mapping returns blocked or waived statuses when deterministic rules identify coverage gaps or binding conflicts. These structured outputs document specific reasons a property cannot be fully mapped, ensuring data consistency before release.

What are the limitations of deterministic mapping rules for data properties?

Deterministic mapping rules require bound objects and confirmed relations to function, meaning unbound objects or unconfirmed relations cannot be processed. The mechanism relies on explicit coverage calculations, so missing view schemas prevent generating mapping drafts and gating decisions.