Create, test, and optimize AI skills with SKILL.md and evaluation scripts.
npx skills add https://github.com/baksha97/dotfiles --skill skill-creator-baksha97
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/baksha97/dotfiles/tree/main/meta/skills/skill-creator Command: npx skills add https://github.com/baksha97/dotfiles --skill skill-creator-baksha97
This Skill streamlines the entire lifecycle of creating and improving AI skills, from initial concept to optimized performance, reducing the complexity and time required for development.
SKILL.md, and structuring skill resources.SKILL.md, create test cases, run evaluations, and optimize the description so Claude reliably uses your new skill.Use the skill creator to build a new skill for summarizing meeting notes.
High-intent search queries and answers about installing and using this skill.
To create and test AI skills, you define the skill intent, write a SKILL.md file with YAML frontmatter and Markdown instructions, bundle scripts, and run evaluations using run_eval.py to measure performance. This handles the complete skill creation lifecycle.
The best way to optimize LLM skill triggering accuracy is using automated description optimization via run_loop.py and improve_description.py, which test queries and refine the skill description to ensure Claude reliably triggers the correct skill.
Skill evaluation works by executing test queries against your AI skill using run_eval.py and viewing results with eval-viewer. This process assesses performance metrics, enables iterative refinement of instructions, and validates skill behavior based on test outcomes.
Yes, you need the anthropic and pytest dependencies to build AI skills effectively. The anthropic package interfaces with the LLM for skill execution, while pytest facilitates running evaluations and testing skill performance during iterative development.
Yes, you can bundle scripts and references directly within your AI skill. The skill creation process supports structuring these assets alongside the SKILL.md file, enabling the skill to execute complex logic and access necessary reference materials.
Your AI skill may not trigger correctly because the description lacks optimization. You can resolve this by running automated description optimization via run_loop.py and improve_description.py to analyze test queries and refine the SKILL.md description for accurate triggering.
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