@forwardimpact/map
v0.12.0
Published
Public data model for career frameworks, consumed by AI agents and engineers
Readme
@forwardimpact/map
A public site describing the data model for consumption by AI agents and engineers.
Role in the Vision
The Map product is the fundamental underpinning of all Forward Impact products. It defines how engineering competencies, career progression, and agent capabilities are structured\u2014and publishes that structure in machine-readable formats so AI agents can reliably interpret and work with career framework data.
Making the data model well understood is a first-class goal. By publishing JSON Schema and RDF/SHACL definitions alongside canonical example data, we ensure that every consumer—human or AI—shares a consistent understanding of the data model.
What It Does
- Public data model — JSON Schema and RDF/SHACL definitions for skills, behaviours, disciplines, tracks, and levels
- Data loading — Parse and validate YAML data files
- Validation — Enforce referential integrity, required fields, and schema compliance
- Index generation — Generate browser-compatible file indexes
- Example data — Canonical examples for testing and reference
Usage
# Validate all data files
npx fit-map validate
# Generate index files for browser
npx fit-map generate-index
# Validate SHACL ontology
npx fit-map validate --shaclPackage Exports
import { loadAllData, loadCapabilities } from "@forwardimpact/map";
import { validateAll } from "@forwardimpact/map/validation";
import {
SKILL_PROFICIENCIES,
BEHAVIOUR_MATURITIES,
} from "@forwardimpact/map/levels";Data Structure
examples/
├── levels.yaml # Career levels
├── stages.yaml # Lifecycle stages
├── drivers.yaml # Organizational outcomes
├── disciplines/ # Engineering specialties
├── tracks/ # Work contexts (platform, SRE, etc.)
├── behaviours/ # Approach to work
├── capabilities/ # Skills grouped by area
└── questions/ # Interview questionsSee the documentation for details.
