Create, modify, evaluate, and optimize AI skills with SKILL.md documentation.
npx skills add https://github.com/alunadev/ald-skills --skill skill-creator-alunadev
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/alunadev/ald-skills/tree/main/skills/creating-skills Command: npx skills add https://github.com/alunadev/ald-skills --skill skill-creator-alunadev
This Skill streamlines the entire lifecycle of creating and improving AI skills, from initial concept to performance optimization and deployment.
SKILL.md for new skills.SKILL.md, create test cases, run evaluations, and optimize the skill's description so Claude uses it effectively.Use the skill-creator to help me build a new skill that summarizes meeting transcripts.
High-intent search queries and answers about installing and using this skill.
To build an AI agent skill from scratch, define the user intent, draft the SKILL.md documentation, and generate test cases. This Skill guides the end-to-end creation workflow for agentic AI skills.
The best way to test and evaluate AI agent performance is to write and execute test cases, analyze performance benchmarks, and refine skill descriptions iteratively based on the resulting metrics.
Optimize AI skill descriptions for discoverability through targeted prompt engineering and evaluation. This refines the text to improve triggering accuracy so the AI uses the skill effectively.
Yes, you can refine and modify existing workflow automation skills. It facilitates iterative improvement by testing, evaluating, and updating existing skills based on user feedback and performance metrics.
To start developing AI skills you need a core task concept, such as summarizing meeting transcripts. The tool captures your intent and guides you through drafting documentation and generating test cases.
AI skills fail to trigger during workflow automation when descriptions lack targeted prompt engineering. Refining the skill description through evaluation improves triggering accuracy and ensures the AI uses it effectively.
Fr-e-dAnalyze project directory structures to generate architectural summaries.
timurgaleevMonitor post-deploy web apps for defects and performance regressions.
SJTU-IPADSDesign, analyze, and optimize prompts with evaluation frameworks and structured outputs.
devCharuzuDesign prompts and evaluation frameworks for LLM workflows.