skillify

Automate skill creation with files, code, and evaluations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mscully4/franklin --skill skillify-mscully4
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skillify
Source: https://github.com/mscully4/franklin/tree/main/.claude/skills/skillify
Command: npx skills add https://github.com/mscully4/franklin --skill skillify-mscully4

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skillify Skill streamlines the process of turning raw features into high-quality, resolvable units of capability for an agent. It ensures features meet strict quality gates through cross-modal evaluations and comprehensive testing.

Core Features & Use Cases

  • Skill Development: Automates the process of skill creation with a structured approach.
  • Cross-Modal Evaluation: Utilizes multi-provider models to assess quality before testing.
  • Comprehensive Testing: Includes unit, integration, and LLM tests for robustness.
  • Resolver Integration: Ensures the skill is correctly mapped in the resolver for user triggers.
  • Use Case: For developers and data scientists, skillify helps ensure new features are fully functional and tested before integration into the larger system.

Quick Start

Skillify a new feature by running /skillify create my_feature --trigger "my command".

Frequently Asked Questions about skillify

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

FAQPage Schema
How do I automate skill development and testing for new agent features?

Skill development is automated by creating a skill file, generating code, and executing cross-modal evaluations and comprehensive unit, integration, and LLM tests to ensure robustness before integration.

What is cross-modal evaluation in feature engineering?

Cross-modal evaluation is a quality gate that uses multi-provider models to assess feature capabilities and code quality before formal testing, ensuring raw features meet strict resolver integration standards.

How do I create a tested capability from a raw feature using a command line tool?

You can skillify a new feature by running a create command with a specified trigger, which automatically generates the necessary files and initiates the evaluation checklist for compliance.

Do I need specific execution environments to run cross-modal evaluations on new features?

Yes, execution requires access to standard read, write, and exec tools to run the automated skillification process, perform multi-provider model assessments, and conduct comprehensive testing.

Why does my new agent capability fail the resolver integration check?

Capabilities fail integration when they do not meet strict quality gates, which require passing cross-modal evaluations and comprehensive unit, integration, and LLM tests defined in the compliance checklist.

What is the best way to ensure new features are fully functional before system integration?

The best way is to use a structured skillification process that applies multi-provider cross-modal evaluations alongside comprehensive testing to validate functionality and map triggers correctly in the resolver.