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KanishKumar11
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Website𝕏@KanishKumar_11GitHub

skill-creator

Guide users through defining, testing, and optimizing language model skills.

Updated Jan 13, 2026
Search Tags:#skill development#skill optimization#performance evaluation#language model#AI skill crafting
One-click install
npx skills add https://github.com/KanishKumar11/flowforge --skill skill-creator-kanishkumar11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/KanishKumar11/flowforge/tree/main/.cursor/skills/skill-creator
Command: npx skills add https://github.com/KanishKumar11/flowforge --skill skill-creator-kanishkumar11

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill aids in creating, modifying, and optimizing skills for a language model. It simplifies the process of developing skills by guiding the user through each step of the skill creation process and enabling iterative improvements based on evaluation and feedback.

Core Features & Use Cases

  • Skill Creation: Guides the user in crafting new skills, defining intent, and creating test prompts.
  • Skill Testing: Executes the skill using test prompts and captures quantitative and qualitative feedback.
  • Skill Optimization: Offers suggestions for enhancing the skill based on performance data and user feedback.
  • Use Case: When developing a skill to process customer service queries, the Skill Creator can assist in drafting the skill's definition, testing with real queries, and iterating to improve the skill's accuracy and efficiency.

Quick Start

To start, define the skill's purpose and input data format, then proceed with the interview and research phases.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and test a new AI skill for a language model?▼

To create an AI skill, define the skill's intent and input data format, then use a framework to execute test prompts and capture quantitative and qualitative feedback for iterative improvement.

What is the best way to optimize language model skills using performance evaluation?▼

Skill optimization involves analyzing performance data and user feedback from test prompts to offer suggestions that enhance the language model skill's accuracy and efficiency.

Do I need prior knowledge of skill functionality to start AI skill crafting?▼

Yes, AI skill crafting requires input from a user who understands the desired skill functionality to properly guide the intent definition, research, and interview phases.

Can I use this framework to develop a skill for processing customer service queries?▼

Yes, the framework can develop a customer service skill by assisting in drafting the definition, testing with real queries, and iterating to improve accuracy and efficiency.

What are the limitations of iterative skill development for language models?▼

Iterative skill development requires defining the skill's purpose and input data format upfront, and continuous evaluation and feedback are necessary to achieve accurate language model performance.

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