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biomaps-infra
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general-skill_creator

Creates AI skills, runs benchmarks, and optimizes SKILL.md descriptions for triggering accuracy.

Updated Mar 13, 2026
Search Tags:#skill development#AI tools#prompt engineering#code generation#optimization#evaluation
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill general-skill-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: general-skill_creator
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/general-skill_creator
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill general-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the entire process of creating and improving AI skills, from initial concept to performance optimization, making AI development accessible and efficient.

Core Features & Use Cases

  • Skill Creation: Guides users through drafting new skills from scratch.
  • Iterative Improvement: Facilitates testing, evaluation, and refinement of existing skills.
  • Performance Benchmarking: Runs evals to measure and compare skill performance.
  • Description Optimization: Fine-tunes skill descriptions for better triggering accuracy.
  • Use Case: You have an idea for a new skill to summarize meeting notes. Use this Skill to draft the SKILL.md, create test cases, run evaluations against a baseline, and optimize the description for Claude to use it effectively.

Quick Start

Use the general-skill_creator to help me build a new skill that can summarize technical documentation.

Frequently Asked Questions about general-skill_creator

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

FAQPage Schema
How do I build and test AI skills from scratch?▼

To build AI skills from scratch, define the skill intent, draft the SKILL.md content, establish test cases, and run quantitative benchmarks to evaluate performance and iterative refinement.

What is AI skill description optimization for better triggering?▼

AI skill description optimization is the process of fine-tuning skill descriptions to improve triggering accuracy, ensuring the AI selects and executes the correct skill based on user intent.

How does performance benchmarking work for prompt engineering?▼

Performance benchmarking for prompt engineering works by running evaluations against established test cases to measure and compare skill performance, enabling data-driven iterative improvements.

Can I use this for iterative refinement of existing code generation skills?▼

Yes, you can use this to facilitate the iterative refinement of existing code generation skills by running quantitative benchmarks and adjusting descriptions to optimize triggering accuracy.

What's the best way to evaluate AI tool performance against a baseline?▼

The best way to evaluate AI tool performance against a baseline is to establish specific test cases, run quantitative evals, and measure the outputs to guide iterative refinement and optimization.

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