Manage the lifecycle of AI skills from design through optimization.
npx skills add https://github.com/ghaerdi/dotfiles --skill skill-creator-ghaerdi
Please help me install this Agent Skill. Skill: skill-creator Source: https://github.com/ghaerdi/dotfiles/tree/main/opencode/.agents/skills/skill-creator Command: npx skills add https://github.com/ghaerdi/dotfiles --skill skill-creator-ghaerdi
This Skill simplifies the process of creating, modifying, and optimizing AI skills, allowing users to efficiently develop and enhance their AI-powered tools.
Use the skill-creator skill to generate a new skill for summarizing emails, providing an example prompt, and defining expected output format.
High-intent search queries and answers about installing and using this skill.
AI skill creation involves defining intent, capturing input, generating output, and testing for accuracy. This process uses Python scripts and subagents to design, implement, and evaluate skill performance against real-world scenarios and quantitative metrics.
Optimizing AI skill descriptions improves triggering accuracy and overall skill effectiveness. It involves refining the skill's intent definition and evaluating performance metrics to ensure the AI activates correctly in response to relevant user prompts.
Modifying existing AI skills allows you to add features or correct errors while maintaining performance. The process includes editing the skill logic and running evaluations with testing tools to ensure accuracy and prevent regressions.
AI skill evaluation combines quantitative metrics with user feedback to assess performance. It utilizes Python scripts and various tools to execute test scenarios, measure accuracy, and identify areas for refinement based on real-world interaction data.
Python scripts and subagents are required to execute, evaluate, and improve AI-powered tools within this framework. They facilitate the comprehensive lifecycle management of skills, from initial design and implementation to ongoing optimization.
A comprehensive skill design approach is unnecessary for simple, single-step tasks that do not require evaluation or optimization. It is specifically built for managing complex AI skill lifecycles that involve testing, refinement, and performance tracking.
TonyQ-AIExtract core business concepts, entity relationships, and domain rules from requirement specifications.
chenzhu007Identify AI capability gaps and generate integration plans for new skills.
MagicCubeCreate, refine, and evaluate AI skills with SKILL.md structure.
Moliboy5000Create AI skills with SKILL.md files and automated testing.
