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.