formspec-mapping

Map form response data to external schemas with a bidirectional JSON DSL.

Updated Feb 25, 2026

Search Tags:#json #etl #mapping #api-integration #data-transformation #formspec #reverse-mapping

Ready to run

npx skills add https://github.com/mikewolfd/formspec --skill formspec-mapping-mikewolfd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: formspec-mapping
Source: https://github.com/mikewolfd/formspec/tree/main/.claude-plugin/skills/formspec-mapping/formspec-mapping
Command: npx skills add https://github.com/mikewolfd/formspec --skill formspec-mapping-mikewolfd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Map form response data to external schemas using a bidirectional JSON DSL. This enables teams to cleanly separate data collection from how data is stored or consumed, support renaming fields, value transformations, and reverse mappings across APIs, databases, or data pipelines.

Core Features & Use Cases

Declarative mapping of form fields to external schemas with explicit rules and transforms.
Bidirectional support for translating data from external sources back into form responses.
Optional value transformations (rename, coerce, valueMap, expression) and conditional inclusion to tailor payloads.

Quick Start

Create a mapping document that translates your form responses into the target backend schema.

Frequently Asked Questions about formspec-mapping

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

FAQPage Schema

How do I map JSON form responses to an external API schema?▼

You can map JSON form responses to an external API schema by defining a declarative JSON DSL that specifies explicit rules for renaming fields and applying value transformations. This cleanly separates data collection from storage or consumption, allowing a deterministic MappingEngine workflow to execute the translation.

What is bidirectional JSON mapping for data transformation?▼

Bidirectional JSON mapping is a data transformation technique that translates form responses to external schemas and reverses the process to ingest external data back into forms. It uses a declarative DSL to support field renaming, value coercing, and reverse mappings across APIs, databases, or data pipelines.

Can I apply conditional rules and value transformations during data integration?▼

Yes, you can apply conditional inclusion and value transformations during data integration by using optional transform types like valueMap, coerce, and expression within your mapping document. These features let you tailor payloads dynamically while maintaining a deterministic mapping workflow.

Does this JSON mapping approach support reverse mappings for API integration?▼

Yes, the JSON mapping approach supports reverse mappings for API integration, enabling you to translate data from external sources back into form responses. This bidirectional capability ensures seamless data flow between form collection endpoints and external databases or APIs.

What is the best way to separate form data collection from backend storage schemas?▼

The best way to separate form data collection from backend storage schemas is to use a declarative JSON DSL that explicitly defines field renaming and transformation rules. This abstraction allows teams to modify backend schemas without altering the underlying form structure or data collection logic.