<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Skill-Management on Noureddine RAMDI</title><link>https://ramdi.fr/tags/skill-management/</link><description>Recent content in Skill-Management on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/skill-management/index.xml" rel="self" type="application/rss+xml"/><item><title>AutoSkill: Experience-driven lifelong learning for LLM agents with skill versioning and evolution</title><link>https://ramdi.fr/github-stars/autoskill-experience-driven-lifelong-learning-for-llm-agents-with-skill-versioning-and-evolution/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/autoskill-experience-driven-lifelong-learning-for-llm-agents-with-skill-versioning-and-evolution/</guid><description>AutoSkill is a Python framework enabling LLM agents to extract, version, and evolve skills from dialogues, providing a persistent long-term memory system for AI agents.</description></item><item><title>Skill Conductor: Architecture-first lifecycle management for AI agent skills</title><link>https://ramdi.fr/github-stars/skill-conductor-architecture-first-lifecycle-management-for-ai-agent-skills/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/skill-conductor-architecture-first-lifecycle-management-for-ai-agent-skills/</guid><description>Skill Conductor enforces design patterns and uses a 5-mode lifecycle to manage AI agent skills, avoiding common pitfalls like the &amp;lsquo;description trap&amp;rsquo; for more reliable skill development.</description></item><item><title>SkillForge: Efficient AI skill management for Claude Code and Codex</title><link>https://ramdi.fr/github-stars/skillforge-efficient-ai-skill-management-for-claude-code-and-codex/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/skillforge-efficient-ai-skill-management-for-claude-code-and-codex/</guid><description>SkillForge v5.1 reduces AI skill prompt size by 64% using context-efficient design and trigger-based routing in Claude Code and Codex environments.</description></item><item><title>Skills Manager: local multi-agent coding skill management on macOS</title><link>https://ramdi.fr/github-stars/skills-manager-local-multi-agent-coding-skill-management-on-macos/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/skills-manager-local-multi-agent-coding-skill-management-on-macos/</guid><description>Skills Manager is a native macOS app that unifies skill management for over 40 coding agents. It normalizes fragmented skill formats with a local-first SwiftUI design and real-time monitoring.</description></item></channel></rss>