Audit and enhance AI skill descriptions, token efficiency, and safety.
npx skills add https://github.com/apexradius/agentic-os --skill skill-improve-apexradius
Please help me install this Agent Skill. Skill: skill-improve Source: https://github.com/apexradius/agentic-os/tree/main/skills/skill-improve Command: npx skills add https://github.com/apexradius/agentic-os --skill skill-improve-apexradius
This Skill addresses the challenges of improving the quality and efficiency of existing AI skills, helping them meet best practices.
Apply the skill-improve to a specific skill by running: skill-improve <skill-name>
High-intent search queries and answers about installing and using this skill.
To audit an AI agent for token efficiency and safety, you can analyze its existing skill descriptions, structural patterns, and error handling mechanisms to ensure they meet AI development best practices.
You can improve error handling in AI development by auditing existing skills to define and enhance their fallback mechanisms, ensuring robust performance and reducing runtime errors during agent execution.
The best way to distill complex skill instructions into a single canonical prompt is through prompt reversal, a technique that analyzes and condenses existing structural patterns into one unified instruction set.
Yes, you need an existing AI skill present to audit its code quality and composability, because the improvement process requires an existing skill to evaluate its token usage, structural patterns, and safety measures.
You should not use automated skill improvement when no existing skill is present to evaluate, as the auditing process specifically requires an initial skill structure to analyze for token efficiency and error handling enhancements.
SempriniDocument existing data assets as MD-DDL baseline files.
faustellar1995Query multiple language models in parallel to compare responses.
xoaiValidates AI agent packs through automated checks and behavioral analysis.
RheasilviaReview git diffs with parallel subagents to refactor code for reuse and quality.
