fit-model

Derive job and agent profiles from schema data using pure functions.

4|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/forwardimpact/monorepo --skill fit-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fit-model
Source: https://github.com/forwardimpact/monorepo/tree/main/.claude/skills/fit-model
Command: npx skills add https://github.com/forwardimpact/monorepo --skill fit-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of deriving job roles and agent profiles based on predefined schemas, ensuring consistency and accuracy in talent management and AI agent configuration.

Core Features & Use Cases

  • Job Derivation: Automatically calculates skill levels, behavior maturities, and responsibilities for job roles based on discipline, grade, and track.
  • Agent Profile Generation: Creates tailored profiles for AI agents, filtering for human-only skills and aligning with stage-specific tools and permissions.
  • Use Case: When defining a new software engineering role, use this Skill to automatically generate the required skill matrix and behavioral expectations based on the specified discipline and seniority level.

Quick Start

Use the fit-model skill to derive the job profile for a senior backend engineer in the 'platform' discipline.

Frequently Asked Questions about fit-model

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

FAQPage Schema
How do I generate a skill matrix for a software engineering role automatically?

To generate a skill matrix for a software engineering role, this Skill derives job profiles by applying business logic to schema data based on discipline, grade, and track inputs. It calculates required skill levels and responsibilities automatically to ensure consistent talent management outputs.

What is the process for deriving agent profiles for AI development?

Deriving agent profiles involves applying pure functions to schema data to create tailored AI agent configurations. This process filters out human-only skills and aligns agent behaviors with stage-specific tools and permissions for testable outputs.

Can I calculate behavior maturities for career progression tracks using predefined schemas?

Yes, you can calculate behavior maturities for career progression tracks. The Skill applies business logic to your predefined schemas for roles and career paths, ensuring consistent behavioral expectations across different seniority levels.

Does deriving job profiles require any external dependencies?

Deriving job profiles requires no external dependencies. The Skill uses pure functions for skill matrix, behavior profile, and job derivation, ensuring consistent and testable outputs without needing additional packages or environment setup.

What is the best way to ensure consistent outputs when calculating job roles and agent configurations?

The best way to ensure consistent outputs when calculating job roles and agent configurations is to use pure functions applied to schema data. This approach guarantees testable results for both talent management and AI agent development.