skill-creator

Create, refine, and optimize AI skills with structured development and evaluation.

11|2|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/kaiqiangh/mini-openclaw-langchain --skill skill-creator-kaiqiangh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/kaiqiangh/mini-openclaw-langchain/tree/main/backend/skills/skill-creator
Command: npx skills add https://github.com/kaiqiangh/mini-openclaw-langchain --skill skill-creator-kaiqiangh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires langchain, fastapi, sqlalchemy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill Unit addresses the challenge of creating and optimizing AI skills by providing a comprehensive framework for development, evaluation, and optimization.

Core Features & Use Cases

  • Skill Creation: Facilitates the creation of new AI skills from scratch.
  • Skill Refinement: Enables modification and improvement of existing skills based on user feedback and performance metrics.
  • Skill Evaluation: Provides tools for benchmarking skill performance, including quantitative metrics and qualitative user feedback.
  • Description Optimization: Offers functionality to optimize skill descriptions for better triggering accuracy and relevance.
  • Use Case: For a developer looking to create an AI skill that automatically generates summaries of technical documentation, this Skill Unit provides a structured approach to designing the skill, testing it, and refining it for optimal performance.

Quick Start

Use the skill-creator skill to create a new skill for generating summaries of technical documentation. Provide examples of documents to train the skill and specify the desired output format.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I optimize AI skill descriptions for better triggering accuracy?

To optimize AI skill descriptions for better triggering accuracy, this skill provides a structured framework to refine drafts, run test cases, and evaluate performance metrics to ensure relevant and precise skill triggering.

What is the best way to refine and iterate on existing AI skills?

The best way to refine and iterate on existing AI skills is to collect user feedback and performance metrics, then apply a structured evaluation framework to modify and improve the skill descriptions and execution logic.

Do I need programming knowledge to create AI skills from scratch?

Yes, creating AI skills from scratch requires knowledge of AI and programming concepts, particularly within the context of skill development, alongside familiarity with dependencies like LangChain, FastAPI, and SQLAlchemy.

How does skill evaluation work when benchmarking performance?

Skill evaluation works by benchmarking performance through a combination of quantitative metrics and qualitative user feedback, allowing you to run test cases and collect data to measure the effectiveness of your AI skill.

Can I use LangChain and FastAPI for AI skill development and testing?

Yes, you can use LangChain and FastAPI for AI skill development and testing, as this skill integrates these dependencies to provide a structured environment for designing, evaluating, and refining AI skill execution.